A Study on Intuitionistic Fuzzy Number Group

Size: px
Start display at page:

Download "A Study on Intuitionistic Fuzzy Number Group"

Transcription

1 International Journal of Fuzzy Mathematics and Systems. ISSN Volume 2, Number 3 (2012), pp Research India Publications Study on Intuitionistic Fuzzy Number Group 1 Palanivelrajan M. and 2 Kaliraju K. 1 ssistant Professor, 2 Research Scholar, Ramanujan Research Centre, PG and Research Department of Mathematics, Government rts College (utonomous), Kumbakonam , TamilNadu, India. palanivelrajan1975@gmail.com, kaliraju64@yahoo.com bstract In this paper we made on attempt to study the algebraic properties of intuitionistic fuzzy number and introduce a new concept called intuitionistic fuzzy number group MS Subject Classification: 03E99, 05C25, Keywords: Intuitionistic fuzzy set, Intuitionistic fuzzy number, Intuitionistic fuzzy number group. Introduction Zadeh(1965) [5] introduced the concept of fuzzy set to handle the problem of uncertainty in the evaluation of many real life situations. tanassov.k(1986)[1] introduced Intuitionistic fuzzy set(ifs) as an etension to the fuzzy set, where the degree of membership denoting a non-belongingness to a set is eplicitly specified along with degree of membership of belongingness to the set. In 1987, Dubosis.D, Prade.H[ 3] discussed the mean value of a fuzzy number. tanassov.k.t(1989)[2] also discussed interval valued intuitionistic fuzzy set (IFS) as an another notable etension of fuzzy set. Grezegorzewski.P (2003)[4] defined two families of metrics and orders in space of Intuitionistic fuzzy numbers(ifn). In this paper we introduce the concept of Intuitionistic fuzzy number group (IFNG) and investigate some of its properties. Preliminaries In this section we state some definitions and properties related fuzzy set, Intuitionistic fuzzy set and intuitionistic fuzzy numbers.

2 270 Palanivelrajan M. and Kaliraju K. Let R be the set of all real numbers and F(R) all fuzzy subset defined on R. We denote F*(R) the set of all fuzzy number and also denote the set of all Intuitionistic fuzzy number by IF*(R). Let X be a universe of discourse, then a fuzzy set is defined as ={, μ( ) / X} which is characterized by a membership function μ ( ) : X [ 0,1 ], where μ ( ) denotes the degree of membership of the element to the set. n Intuitionistic fuzzy set (IFS) assigns to each element of the universe X a membership degree μ ( ) [ 0,1 ] and a non-membership degree ( ) [ 0,1 ] such that μ ( ) + ( ) 1. IFS is mathematically represented as {, μ ( ), ( ) / X}. The value π ( ) =1- μ ( ) - ( ) is called the degree of hesitancy or the Intuitionistic inde of to. 1. Let F(R) and is normal that is there eists R such that ( ) is called a fuzzy number. 2. Whenever λ [ 0,1 ] then λ {, ( ) λ} + λ λ, λ =1 then = is a closed interval denoted by + By the decomposition theorem of fuzzy sets a = λ aλ, a λ for every a F * ( R ) n Intuitionistic fuzzy subset = {, μ( ), ( ) / R} of the real line is called an intuitionistic fuzzy number if 0, 1 X such that μ ( 0) = 1 and μ ( 1) = 1 is if-conve (ie. its membership function μ is fuzzy conve and its nonmembership function is fuzzy concave). μ is upper semi continuous and is lower continuous. Supp = cl({ X : ( ) }) is bounded. Proposition Let and B be the Intuitionistic fuzzy number represented as =, μ ( ), ( ) / R, μ ( ), ( ) / R whose membership and { } and B ={ } B B

3 Study on Intuitionistic Fuzzy Number Group 271 non-membership values are represented as 0 if < a f ( ) if a1 < a2 μ( ) = 1 if a2 a3 g ( ) if a3 < a4 0 if a4 < 1 if < b1 h( ) if b1 < b2 ( ) = 0 if b2 b3 kb ( ) if b3 < b4 1 if b4 < nd 0 if < c1 fb( ) if c1 < c2 μb( ) = 1 if c2 c3 gb( ) if c3 < c4 0 if c4 < 1 if < d1 hb ( ) if d1 < d2 B( ) = 0 if d2 d3 kb ( ) if d3 < d4 1 if d4 < where a 1, a 2,a 3,a 4, b 1, b 2,b 3, b 4,c 1,c 2,c 3, c 4, d 1, d 2,d 3, d 4 R such that b 1 a 1 b 2 a 2 a 3 b 3 a 4 b 4, d 1 c 1 d 2 c 2 c 3 d 3 c 4 d 4 and the function f, g, h, k, f B, g B, h B, k B : R [ 0,1] ddition of two Intuitionistic fuzzy numbers and B Is defined as C=+B such that

4 272 Palanivelrajan M. and Kaliraju K. 0 if < a1+ c1 min { f ( ), fb( ) } if a1+ c1 < a2 + c2 μc ( ) = 1 if a2 + c2 a3+ c3 min { g ( ), gb( ) } if a3 + c3 < a4 + c4 0 if a4 + c4 < nd 1 if < b1+ d1 ma { h( ), hb( ) } if b1+ d1 < b2 + d2 C ( ) = 0 if b2 + d2 b3+ d3 ma { k( ), kb( ) } if b3 + d3< b4 + d4 1 if b4 + d4 < Multiplication of two Intuitionistic fuzzy numbers and B Is defined as C =.B such that μ ( ) =[min(a 1b 1,a 1 b 2,a 2 b 1,a 2 b 2 ),ma(a 1 b 1,a 1 b 2,a 2 b 1,a 2 b 2 ) ] and C C ( ) =[ma(a 1b 1,a 1 b 2,a 2 b 1,a 2 b 2 ),min(a 1 b 1,a 1 b 2,a 2 b 1,a 2 b 2 ) ], where =[a 1,a 2 ] and B=[b 1,b 2 ] Eample (b1 a1 b2 a2 a3 b3 a4 b4) 0 if < if 3 < 5 μ( ) = 1 if if 6 < 8 0 if 8< 1 if < if 2 < 4 ( ) = 0 if if 7 < 9 1 if 9< nd

5 Study on Intuitionistic Fuzzy Number Group if < if 3 < 5 μb( ) = 1 if if 6 < 8 0 if 8< 1 if < if 2 < 4 ( ) = 0 if if 7 < 9 1 if 9< ddition of two intuitionistic fuzzy number C=+B 0 if < if 6 < 10 μc ( ) = 1 if if 12 < 16 0 if 16< Such that 0 if < if 6 < 10 Such that μc ( ) = 1 if if 12 < 16 0 if 16< nd 1 if < if 4 < 8 C ( ) = 0 if if 14< 18 1 if 18< Proposition rithmetic operations on Intuitionistic fuzzy number satisfy some of its following * properties if abc,,, IF( R) we say that a * b= b * a (commutativity)

6 274 Palanivelrajan M. and Kaliraju K. ( a * b)* c= a *( b* c) (associativity) e* a = a* e= a (identity) a*( a) = ( a)* e= e (Inverse) Intuitionistic fuzzy number group rithmetic operations on a Intuitionistic fuzzy number forms a group. binary operation is a way of putting two things together. n algebraic system (IF * (R),*) be the set of all non-empty fuzzy numbers IF * (R) together with a composition * is called Intuitionistic fuzzy number group if the following aioms are satisfied. G1: (Closure law) The set IF * (R) is closed for the composition * * * that is * implies that a* b IF ( R) for all * * a IF R b IF R ( ), ( ) that G2:(ssociative law) The composition is associative that is ( a* b)* c= a*( b* c) for all abc,, IF*( R) G3: (Eistence of the identity) There eists an element e in IF *(R) Such that e* a = a* e= a for all a IF*( R) G4:(Eistence of inverse of each element) Each element in IF *(R) possesses an inverse in IF *(R) that is corresponding to each element a IF*( R) there eists an element b IF*( R) such that a* b= b* a= e (the element b is called the inverse of a and we write Theorem The identity element in a Intuitionistic fuzzy number group is unique. a 1 = b ). Proof Let IF*( R ) be a Intuitionistic fuzzy number group and if possible.let e and e ' be two identity elements in IF*( R ).Then ee. ' = e'. e= e' (since e ' is the identity) ee. ' = e'. e= e (since e is the identity ) Therefore e = e ' Hence the identity in IF*( R ) is unique.

7 Study on Intuitionistic Fuzzy Number Group 275 Theorem In a Intuitionistic fuzzy number group if a = a, b then it has a unique inverse. Proof Let IF*( R ) be a Intuitionistic fuzzy number group and e be the identity element in IF*( R ). Let a = a, b be an arbitrary element of IF*( R) and if possible let b and c be two inverse of a. Then ab. = ba. = e and ac. = ca. = e Now ba. b.( ac. ) = b. e= b = e implies that ( b. a). c = e. c = c and ac. But by the associative law ( ba. ). c= b.( ac. ) Therefore b = c showing that a has a unique inverse. = e implies that Hence each element of a Intuitionistic fuzzy number IF*( R ) has a unique inverse. Theorem The inverse of the inverse of an element of a Intuitionistic fuzzy number group is the element itself, if a = a, a. Proof Let IF*( R ) be a Intuitionistic fuzzy number group and e be the identity element in IF*( R ). Let a = a, a be an arbitrary element of IF*( R) Then a 1. a = e. Now a 1. a = e [ ] = [ ] 1 1 a a. a a. e ( a ). a. a = [ a ] 1 ea. = 1 [ a ] 1 Implies that a = [ a ] 1 1 Hence [ a ] 1 = a.

8 276 Palanivelrajan M. and Kaliraju K. Theorem Cancellation laws hold in a be a Intuitionistic fuzzy number group IF*( R ),for all abc,,, IF*( R) and if a = a, a then ab. = ac. implies that b= c (left cancellation law) and ba. = ca. implies that b = c(right cancellation law). Proof Let e be the identity element in IF*( R) and let a a, a = then ab. = ac. Implies that Implies that = 1 1 a. ab. a. ac. = 1 1 a. ab. a. ac. Implies that [ ] Implies that Implies that b gain ba. = c. a = 1 1 a. a. b a. a. c eb. = ec. = c Implies that [ ba. ]. a 1 = [ ca. ]. a 1 Implies that b. [ a. a 1 ] = c. [ a. a 1 ] Implies that be. = ce. Implies that b= c Theorem (Reversal law for inverse of the product) If, a = a, a, b= b, b ] in *( ) ab IF R *, ( ) ab. = b. a for all IF R.Then [ ] Proof Let e be the identity element in IF*( R) and let a a, a =, b= b, b ] Then [ ab, ] b, a ] = [ [ ] 1 ] = [ a[ 1 bb. 1 ] ]. a ab.. b. a = b. a (by associative law )

9 Study on Intuitionistic Fuzzy Number Group 277 = [ ae ] = e.. 1 a lso [ 1 1 b. a ] [ ab. ] 1 1 = [ [ ] 1 1 = [ [ ] ] = [ b 1. e ]. b = e b. a. a. b Thus [, ] ab b, a ] Hence[ ] ab. = b. a. b. a. a. b 1 1 =[ b. a ] [ ab. ] = e References [1] tanassov.k.t., Intuitionistic Fuzzy sets, Fuzzy sets and systems, 20(1986), [2] tanassov.k.t., Interval valued Intuitionistic Fuzzy Sets, Fuzzy sets and systems, 31(1989), [3] Dubosis D., Prade H., The Mean value of a Fuzzy Number, Fuzzy sets and systems 24, (1987) [4] Grzegorzewski.P., Distances and orderings in a family of Intuitionistic Fuzzy numbers, In Proceedings of the Third Conference on Fuzzy Logic and Technology (Eusflat03), pages , [5] Zadeh.L.., Fuzzy sets, Information Control, 8(1965),

10

i jand Y U. Let a relation R U U be an

i jand Y U. Let a relation R U U be an Dependency Through xiomatic pproach On Rough Set Theory Nilaratna Kalia Deptt. Of Mathematics and Computer Science Upendra Nath College, Nalagaja PIN: 757073, Mayurbhanj, Orissa India bstract: The idea

More information

Generalized Triangular Fuzzy Numbers In Intuitionistic Fuzzy Environment

Generalized Triangular Fuzzy Numbers In Intuitionistic Fuzzy Environment International Journal of Engineering Research Development e-issn: 2278-067X, p-issn : 2278-800X, www.ijerd.com Volume 5, Issue 1 (November 2012), PP. 08-13 Generalized Triangular Fuzzy Numbers In Intuitionistic

More information

On Neutrosophic Semi-Open sets in Neutrosophic Topological Spaces

On Neutrosophic Semi-Open sets in Neutrosophic Topological Spaces On Neutrosophic Semi-Open sets in Neutrosophic Topological Spaces P. Iswarya#1, Dr. K. Bageerathi*2 # Assistant Professor, Department of Mathematics, Govindammal Aditanar College for Women, Tiruchendur,

More information

Type-2 Fuzzy Shortest Path

Type-2 Fuzzy Shortest Path Intern. J. Fuzzy Mathematical rchive Vol. 2, 2013, 36-42 ISSN: 2320 3242 (P), 2320 3250 (online) Published on 15 ugust 2013 www.researchmathsci.org International Journal of Type-2 Fuzzy Shortest Path V.

More information

Intuitionistic L-Fuzzy Rings. By K. Meena & K. V. Thomas Bharata Mata College, Thrikkakara

Intuitionistic L-Fuzzy Rings. By K. Meena & K. V. Thomas Bharata Mata College, Thrikkakara Global Journal of Science Frontier Research Mathematics and Decision Sciences Volume 12 Issue 14 Version 1.0 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals

More information

- Fuzzy Subgroups. P.K. Sharma. Department of Mathematics, D.A.V. College, Jalandhar City, Punjab, India

- Fuzzy Subgroups. P.K. Sharma. Department of Mathematics, D.A.V. College, Jalandhar City, Punjab, India International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 47-59 Research India Publications http://www.ripublication.com - Fuzzy Subgroups P.K. Sharma Department

More information

Generalised intuitionistic fuzzy soft sets and its application in decision making

Generalised intuitionistic fuzzy soft sets and its application in decision making Generalised intuitionistic fuzzy soft sets and its application in decision making Bivas Dinda, Tuhin Bera and T.K. Samanta arxiv:1010.2468v1 [math.gm] 12 Oct 2010 Abstract In this paper, generalised intuitionistic

More information

On Intuitionitic Fuzzy Maximal Ideals of. Gamma Near-Rings

On Intuitionitic Fuzzy Maximal Ideals of. Gamma Near-Rings International Journal of Algebra, Vol. 5, 2011, no. 28, 1405-1412 On Intuitionitic Fuzzy Maximal Ideals of Gamma Near-Rings D. Ezhilmaran and * N. Palaniappan Assistant Professor, School of Advanced Sciences,

More information

GROUPS. Chapter-1 EXAMPLES 1.1. INTRODUCTION 1.2. BINARY OPERATION

GROUPS. Chapter-1 EXAMPLES 1.1. INTRODUCTION 1.2. BINARY OPERATION Chapter-1 GROUPS 1.1. INTRODUCTION The theory of groups arose from the theory of equations, during the nineteenth century. Originally, groups consisted only of transformations. The group of transformations

More information

Prove proposition 68. It states: Let R be a ring. We have the following

Prove proposition 68. It states: Let R be a ring. We have the following Theorem HW7.1. properties: Prove proposition 68. It states: Let R be a ring. We have the following 1. The ring R only has one additive identity. That is, if 0 R with 0 +b = b+0 = b for every b R, then

More information

COMPACTNESS IN INTUITIONISTIC FUZZY MULTISET TOPOLOGY

COMPACTNESS IN INTUITIONISTIC FUZZY MULTISET TOPOLOGY http://www.newtheory.org ISSN: 2149-1402 Received: 04.10.2017 Published: 21.10.2017 Year: 2017, Number: 16, Pages: 92-101 Original Article COMPACTNESS IN INTUITIONISTIC FUZZY MULTISET TOPOLOGY Shinoj Thekke

More information

A Study on Intuitionistic Multi-Anti Fuzzy Subgroups

A Study on Intuitionistic Multi-Anti Fuzzy Subgroups A Study on Intuitionistic Multi-Anti Fuzzy Subgroups R.Muthuraj 1, S.Balamurugan 2 1 PG and Research Department of Mathematics,H.H. The Rajah s College, Pudukkotta622 001,Tamilnadu, India. 2 Department

More information

Multi attribute decision making using decision makers attitude in intuitionistic fuzzy context

Multi attribute decision making using decision makers attitude in intuitionistic fuzzy context International Journal of Fuzzy Mathematics and Systems. ISSN 48-9940 Volume 3, Number 3 (013), pp. 189-195 Research India Publications http://www.ripublication.com Multi attribute decision making using

More information

Intuitionistic Fuzzy Numbers and It s Applications in Fuzzy Optimization Problem

Intuitionistic Fuzzy Numbers and It s Applications in Fuzzy Optimization Problem Intuitionistic Fuzzy Numbers and It s Applications in Fuzzy Optimization Problem HASSAN MISHMAST NEHI a, and HAMID REZA MALEKI b a)department of Mathematics, Sistan and Baluchestan University, Zahedan,

More information

TWO NEW OPERATOR DEFINED OVER INTERVAL VALUED INTUITIONISTIC FUZZY SETS

TWO NEW OPERATOR DEFINED OVER INTERVAL VALUED INTUITIONISTIC FUZZY SETS TWO NEW OPERATOR DEFINED OVER INTERVAL VALUED INTUITIONISTIC FUZZY SETS S. Sudharsan 1 2 and D. Ezhilmaran 3 1 Research Scholar Bharathiar University Coimbatore -641046 India. 2 Department of Mathematics

More information

Example. Addition, subtraction, and multiplication in Z are binary operations; division in Z is not ( Z).

Example. Addition, subtraction, and multiplication in Z are binary operations; division in Z is not ( Z). CHAPTER 2 Groups Definition (Binary Operation). Let G be a set. A binary operation on G is a function that assigns each ordered pair of elements of G an element of G. Note. This condition of assigning

More information

Homomorphism on T Anti-Fuzzy Ideals of Ring

Homomorphism on T Anti-Fuzzy Ideals of Ring International Journal o Computational Science and Mathematics. ISSN 0974-3189 Volume 8, Number 1 (2016), pp. 35-48 International esearch Publication House http://www.irphouse.com Homomorphism on T nti-fuzzy

More information

Soft Strongly g-closed Sets

Soft Strongly g-closed Sets Indian Journal of Science and Technology, Vol 8(18, DOI: 10.17485/ijst/2015/v8i18/65394, August 2015 ISSN (Print : 0974-6846 ISSN (Online : 0974-5645 Soft Strongly g-closed Sets K. Kannan 1*, D. Rajalakshmi

More information

Fixed Point Theorems in Strong Fuzzy Metric Spaces Using Control Function

Fixed Point Theorems in Strong Fuzzy Metric Spaces Using Control Function Volume 118 No. 6 2018, 389-397 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Fixed Point Theorems in Strong Fuzzy Metric Spaces Using Control Function

More information

International Journal of Mathematical Archive-5(10), 2014, Available online through ISSN

International Journal of Mathematical Archive-5(10), 2014, Available online through   ISSN International Journal of Mathematical Archive-5(10), 2014, 217-224 Available online through www.ijma.info ISSN 2229 5046 COMMON FIXED POINT OF WEAKLY COMPATIBLE MAPS ON INTUITIONISTIC FUZZY METRIC SPACES

More information

Fuzzy Dot Subalgebras and Fuzzy Dot Ideals of B-algebras

Fuzzy Dot Subalgebras and Fuzzy Dot Ideals of B-algebras Journal of Uncertain Systems Vol.8, No.1, pp.22-30, 2014 Online at: www.jus.org.uk Fuzzy Dot Subalgebras and Fuzzy Dot Ideals of B-algebras Tapan Senapati a,, Monoranjan Bhowmik b, Madhumangal Pal c a

More information

-Complement of Intuitionistic. Fuzzy Graph Structure

-Complement of Intuitionistic. Fuzzy Graph Structure International Mathematical Forum, Vol. 12, 2017, no. 5, 241-250 HIKRI Ltd, www.m-hikari.com https://doi.org/10.12988/imf.2017.612171 -Complement of Intuitionistic Fuzzy Graph Structure Vandana ansal Department

More information

Homework 3/ Solutions

Homework 3/ Solutions MTH 310-3 Abstract Algebra I and Number Theory S17 Homework 3/ Solutions Exercise 1. Prove the following Theorem: Theorem Let R and S be rings. Define an addition and multiplication on R S by for all r,

More information

A STUDY ON L-FUZZY NORMAL SUBl-GROUP

A STUDY ON L-FUZZY NORMAL SUBl-GROUP A STUDY ON L-FUZZY NORMAL SUBl-GROUP 1 K.Sunderrajan, 2 A.Senthilkumar and 3 R.Muthuraj 1 SRMV College of Arts and Science, Coimbatore-641020, Tamilnadu, India. 2 SNS College of Technology, Coimbatore-641035,

More information

CHARACTERIZING COMPLETABLE AND SEPARABLE FUZZYMETRIC SPACE

CHARACTERIZING COMPLETABLE AND SEPARABLE FUZZYMETRIC SPACE CHARACTERIZING COMPLETABLE AND SEPARABLE FUZZYMETRIC SPACE S. KALAISELVI 1,M.SENTAMILSELVI 2 1 Research Scholar, Department of Mathematics 2 Assistant Professor, Department of Mathematics Vivekanandha

More information

Neutrosophic Set and Neutrosophic Topological Spaces

Neutrosophic Set and Neutrosophic Topological Spaces IOSR Journal of Mathematics (IOSR-JM) ISS: 2278-5728. Volume 3, Issue 4 (Sep-Oct. 2012), PP 31-35 eutrosophic Set and eutrosophic Topological Spaces 1..Salama, 2 S..lblowi 1 Egypt, Port Said University,

More information

Introducing Interpolative Boolean algebra into Intuitionistic

Introducing Interpolative Boolean algebra into Intuitionistic 16th World Congress of the International Fuzzy Systems ssociation (IFS) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLT) Introducing Interpolative oolean algebra into Intuitionistic

More information

RETRACT NEUTROSOPHIC CRISP SYSTEM FOR GRAY SCALE IMAGE

RETRACT NEUTROSOPHIC CRISP SYSTEM FOR GRAY SCALE IMAGE Asian Journal of Mathematics and Computer Research 24(3): 104-117, 2018 ISSN: 2395-4205 (P), ISSN: 2395-4213 (O) RETRACT NEUTROSOPHIC CRISP SYSTEM FOR GRAY SCALE IMAGE A. A. SALAMA 1, HEWAYDA EL GHAWALBY

More information

Liu s Generalized Intuitionistic Fuzzy Sets

Liu s Generalized Intuitionistic Fuzzy Sets iu s Generalized Intuitionistic Fuzzy Sets 測驗統計年刊第十八輯 iu s Generalized Intuitionistic Fuzzy Sets Hsiang-Chuan iu Department of Bioinformatics & Department of Psychology, sia University bstract In this

More information

DEPARTMENT OF MATHEMATIC EDUCATION MATHEMATIC AND NATURAL SCIENCE FACULTY

DEPARTMENT OF MATHEMATIC EDUCATION MATHEMATIC AND NATURAL SCIENCE FACULTY HANDOUT ABSTRACT ALGEBRA MUSTHOFA DEPARTMENT OF MATHEMATIC EDUCATION MATHEMATIC AND NATURAL SCIENCE FACULTY 2012 BINARY OPERATION We are all familiar with addition and multiplication of two numbers. Both

More information

International Journal of Mathematics Trends and Technology (IJMTT) Volume 51 Number 5 November 2017

International Journal of Mathematics Trends and Technology (IJMTT) Volume 51 Number 5 November 2017 A Case Study of Multi Attribute Decision Making Problem for Solving Intuitionistic Fuzzy Soft Matrix in Medical Diagnosis R.Rathika 1 *, S.Subramanian 2 1 Research scholar, Department of Mathematics, Prist

More information

Properties of T Anti Fuzzy Ideal of l Rings

Properties of T Anti Fuzzy Ideal of l Rings International Journal of Computational Science and Mathematics. ISSN 0974-3189 Volume 8, Number 1 (2016, pp. 9-17 International esearch Publication House http://www.irphouse.com Properties of T nti Fuzz

More information

Australian Journal of Basic and Applied Sciences, 5(9): , 2011 ISSN Fuzzy M -Matrix. S.S. Hashemi

Australian Journal of Basic and Applied Sciences, 5(9): , 2011 ISSN Fuzzy M -Matrix. S.S. Hashemi ustralian Journal of Basic and pplied Sciences, 5(9): 2096-204, 20 ISSN 99-878 Fuzzy M -Matrix S.S. Hashemi Young researchers Club, Bonab Branch, Islamic zad University, Bonab, Iran. bstract: The theory

More information

Fuzzy Soft Topology. G. Kalpana and C. Kalaivani Department of Mathematics, SSN College of Engineering, Kalavakkam , Chennai, India.

Fuzzy Soft Topology. G. Kalpana and C. Kalaivani Department of Mathematics, SSN College of Engineering, Kalavakkam , Chennai, India. International Journal of Engineering Studies. ISSN 0975-6469 Volume 9, Number 1 (2017), pp. 45-56 Research India Publications http://www.ripublication.com Fuzzy Soft Topology G. Kalpana and C. Kalaivani

More information

Common Fixed Point Theorems for Generalized Fuzzy Contraction Mapping in Fuzzy Metric Spaces

Common Fixed Point Theorems for Generalized Fuzzy Contraction Mapping in Fuzzy Metric Spaces Volume 119 No. 12 2018, 14643-14652 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Common Fixed Point Theorems for Generalized Fuzzy Contraction Mapping in Fuzzy Metric Spaces 1 R.

More information

Intuitionistic Fuzzy Sets: Spherical Representation and Distances

Intuitionistic Fuzzy Sets: Spherical Representation and Distances Intuitionistic Fuzzy Sets: Spherical Representation and Distances Y. Yang, F. Chiclana Abstract Most existing distances between intuitionistic fuzzy sets are defined in linear plane representations in

More information

The Moore-Penrose Inverse of. Intuitionistic Fuzzy Matrices

The Moore-Penrose Inverse of. Intuitionistic Fuzzy Matrices Int. Journal of Math. Analysis, Vol. 4, 2010, no. 36, 1779-1786 The Moore-Penrose Inverse of Intuitionistic Fuzzy Matrices S. Sriram 1 and P. Murugadas 2 Abstract In this paper, we define the various g-inverses

More information

COSINE SIMILARITY MEASURE FOR ROUGH INTUITIONISTIC FUZZY SETS AND ITS APPLICATION IN MEDICAL DIAGNOSIS. H. Jude Immaculate 1, I.

COSINE SIMILARITY MEASURE FOR ROUGH INTUITIONISTIC FUZZY SETS AND ITS APPLICATION IN MEDICAL DIAGNOSIS. H. Jude Immaculate 1, I. International Journal of Pure and Applied Mathematics Volume 118 No. 1 018, 1-7 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu doi: 10.173/ijpam.v118i1.1

More information

On Intuitionistic Q-Fuzzy R-Subgroups of Near-Rings

On Intuitionistic Q-Fuzzy R-Subgroups of Near-Rings International Mathematical Forum, 2, 2007, no. 59, 2899-2910 On Intuitionistic Q-Fuzzy R-Subgroups of Near-Rings Osman Kazancı, Sultan Yamak Serife Yılmaz Department of Mathematics, Faculty of Arts Sciences

More information

2. Associative Law: A binary operator * on a set S is said to be associated whenever (A*B)*C = A*(B*C) for all A,B,C S.

2. Associative Law: A binary operator * on a set S is said to be associated whenever (A*B)*C = A*(B*C) for all A,B,C S. BOOLEAN ALGEBRA 2.1 Introduction Binary logic deals with variables that have two discrete values: 1 for TRUE and 0 for FALSE. A simple switching circuit containing active elements such as a diode and transistor

More information

Constructions of Q-BI Fuzzy Ideals Over Sub Semi- Groups with Respect to (T,S) Norms

Constructions of Q-BI Fuzzy Ideals Over Sub Semi- Groups with Respect to (T,S) Norms International Journal of Computational Science Mathematics. ISSN 0974-3189 Volume 2, Number 3 (2010), pp. 217--223 International Research Publication House http://www.irphouse.com Constructions of Q-BI

More information

Generalized Entropy for Intuitionistic Fuzzy Sets

Generalized Entropy for Intuitionistic Fuzzy Sets Malaysian Journal of Mathematical Sciences 0(): 090 (06) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Journal homepage: http://einspem.upm.edu.my/journal Generalized Entropy for Intuitionistic Fuzzy Sets

More information

Fuzzy relation equations with dual composition

Fuzzy relation equations with dual composition Fuzzy relation equations with dual composition Lenka Nosková University of Ostrava Institute for Research and Applications of Fuzzy Modeling 30. dubna 22, 701 03 Ostrava 1 Czech Republic Lenka.Noskova@osu.cz

More information

Properties of intuitionistic fuzzy line graphs

Properties of intuitionistic fuzzy line graphs 16 th Int. Conf. on IFSs, Sofia, 9 10 Sept. 2012 Notes on Intuitionistic Fuzzy Sets Vol. 18, 2012, No. 3, 52 60 Properties of intuitionistic fuzzy line graphs M. Akram 1 and R. Parvathi 2 1 Punjab University

More information

Neutrosophic Rare α-continuity

Neutrosophic Rare α-continuity Neutrosophic Rare α-continuity 1 RDhavaseelan, 2 S Jafari, 3 R M Latif and 4 F Smarandache 1 Department of Mathematics, Sona College of Technology,Salem-636005, Tamil Nadu, India 2 Department of Mathematics,

More information

On Generalization of Fuzzy Connectives

On Generalization of Fuzzy Connectives n Generalization of Fuzzy Connectives Imre J. Rudas udapest Tech Doberdó út 6, H-1034 udapest, Hungary rudas@bmf.hu bstract: In real applications of fuzzy logic the properties of aggregation operators

More information

On Intuitionistic Fuzzy Semi-Generalized Closed. Sets and its Applications

On Intuitionistic Fuzzy Semi-Generalized Closed. Sets and its Applications Int. J. Contemp. Math. Sciences, Vol. 5, 2010, no. 34, 1677-1688 On Intuitionistic Fuzzy Semi-Generalized Closed Sets and its Applications R. Santhi Department of Mathematics, Nallamuthu Gounder Mahalingam

More information

On Fuzzy Dot Subalgebras of d-algebras

On Fuzzy Dot Subalgebras of d-algebras International Mathematical Forum, 4, 2009, no. 13, 645-651 On Fuzzy Dot Subalgebras of d-algebras Kyung Ho Kim Department of Mathematics Chungju National University Chungju 380-702, Korea ghkim@cjnu.ac.kr

More information

ABSTRACT SOME PROPERTIES ON FUZZY GROUPS INTROUDUCTION. preliminary definitions, and results that are required in our discussion.

ABSTRACT SOME PROPERTIES ON FUZZY GROUPS INTROUDUCTION. preliminary definitions, and results that are required in our discussion. Structures on Fuzzy Groups and L- Fuzzy Number R.Nagarajan Assistant Professor Department of Mathematics J J College of Engineering & Technology Tiruchirappalli- 620009, Tamilnadu, India A.Solairaju Associate

More information

Fuzzy Function: Theoretical and Practical Point of View

Fuzzy Function: Theoretical and Practical Point of View EUSFLAT-LFA 2011 July 2011 Aix-les-Bains, France Fuzzy Function: Theoretical and Practical Point of View Irina Perfilieva, University of Ostrava, Inst. for Research and Applications of Fuzzy Modeling,

More information

PAijpam.eu SOLVING INTUITIONISTIC FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEMS USING RANKING FUNCTION

PAijpam.eu SOLVING INTUITIONISTIC FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEMS USING RANKING FUNCTION International Journal of Pure and Applied Mathematics Volume 106 No. 8 2016, 149-160 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu doi: 10.12732/ijpam.v106i8.18

More information

On Intuitionistic Fuzzy 2-absorbing Ideals in a Comutative Ring

On Intuitionistic Fuzzy 2-absorbing Ideals in a Comutative Ring Global Journal of Pure Applied Mathematics. ISSN 0973-1768 Volume 13, Number 9 (2017), pp. 5479-5489 Research India Publications http://www.ripublication.com On Intuitionistic Fuzzy 2-absorbing Ideals

More information

An analytic proof of the theorems of Pappus and Desargues

An analytic proof of the theorems of Pappus and Desargues Note di Matematica 22, n. 1, 2003, 99 106. An analtic proof of the theorems of Pappus and Desargues Erwin Kleinfeld and Tuong Ton-That Department of Mathematics, The Universit of Iowa, Iowa Cit, IA 52242,

More information

Inclusion of the Intuitionistic Fuzzy Sets Based on Some Weak Intuitionistic Fuzzy Implication

Inclusion of the Intuitionistic Fuzzy Sets Based on Some Weak Intuitionistic Fuzzy Implication LGRIN DEMY OF SIENES YERNETIS ND INFORMTION TEHNOLOGIES Volume No 3 Sofia 0 Inclusion of the Intuitionistic Fuzzy Sets ased on Some Weak Intuitionistic Fuzzy Implication Piotr Dworniczak Department of

More information

Max-max operation on intuitionistic fuzzy matrix. Riyaz Ahmad Padder, P. Murugadas

Max-max operation on intuitionistic fuzzy matrix. Riyaz Ahmad Padder, P. Murugadas Annals of Fuzzy Mathematics and Informatics Volume x, No. x, (Month 201y), pp. 1 xx ISSN: 2093 9310 (print version) ISSN: 2287 6235 (electronic version) http://www.afmi.or.kr @FMI c Kyung Moon Sa Co. http://www.kyungmoon.com

More information

On flexible database querying via extensions to fuzzy sets

On flexible database querying via extensions to fuzzy sets On flexible database querying via extensions to fuzzy sets Guy de Tré, Rita de Caluwe Computer Science Laboratory Ghent University Sint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium {guy.detre,rita.decaluwe}@ugent.be

More information

A Study on Lattice Ordered Fuzzy Soft Group

A Study on Lattice Ordered Fuzzy Soft Group International Journal of Applied Mathematical Sciences ISSN 0973-0176 Volume 9, Number 1 (2016), pp. 1-10 Research India Publications http://www.ripublication.com A Study on Lattice Ordered Fuzzy Soft

More information

Fuzzy Sequences in Metric Spaces

Fuzzy Sequences in Metric Spaces Int. Journal of Math. Analysis, Vol. 8, 2014, no. 15, 699-706 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ijma.2014.4262 Fuzzy Sequences in Metric Spaces M. Muthukumari Research scholar, V.O.C.

More information

On Interval Valued Fuzzy Det-Norm Matrix with Partitions

On Interval Valued Fuzzy Det-Norm Matrix with Partitions IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 14, Issue 3 Ver. I (May - June 2018), PP 73-83 www.iosrjournals.org On Interval Valued Fuzzy Det-Norm Matrix with Partitions

More information

TRANSITIVE AND ABSORBENT FILTERS OF LATTICE IMPLICATION ALGEBRAS

TRANSITIVE AND ABSORBENT FILTERS OF LATTICE IMPLICATION ALGEBRAS J. Appl. Math. & Informatics Vol. 32(2014), No. 3-4, pp. 323-330 http://dx.doi.org/10.14317/jami.2014.323 TRANSITIVE AND ABSORBENT FILTERS OF LATTICE IMPLICATION ALGEBRAS M. SAMBASIVA RAO Abstract. The

More information

First Order Non Homogeneous Ordinary Differential Equation with Initial Value as Triangular Intuitionistic Fuzzy Number

First Order Non Homogeneous Ordinary Differential Equation with Initial Value as Triangular Intuitionistic Fuzzy Number 27427427427427412 Journal of Uncertain Systems Vol.9, No.4, pp.274-285, 2015 Online at: www.jus.org.uk First Order Non Homogeneous Ordinary Differential Equation with Initial Value as Triangular Intuitionistic

More information

ON INTUITIONISTIC FUZZY SOFT TOPOLOGICAL SPACES. 1. Introduction

ON INTUITIONISTIC FUZZY SOFT TOPOLOGICAL SPACES. 1. Introduction TWMS J. Pure Appl. Math. V.5 N.1 2014 pp.66-79 ON INTUITIONISTIC FUZZY SOFT TOPOLOGICAL SPACES SADI BAYRAMOV 1 CIGDEM GUNDUZ ARAS) 2 Abstract. In this paper we introduce some important properties of intuitionistic

More information

Concept of Fuzzy Differential Equations

Concept of Fuzzy Differential Equations RESERCH RTICLE Concept of Fuzzy Differential Equations K. yyanar, M. Ramesh kumar M.Phil Research Scholar, sst.professor in Maths Department of Maths, Prist University,Puducherry, India OPEN CCESS bstract:

More information

Friedman s test with missing observations

Friedman s test with missing observations Friedman s test with missing observations Edyta Mrówka and Przemys law Grzegorzewski Systems Research Institute, Polish Academy of Sciences Newelska 6, 01-447 Warsaw, Poland e-mail: mrowka@ibspan.waw.pl,

More information

International Journal of Mathematical Archive-8(5), 2017, Available online through ISSN

International Journal of Mathematical Archive-8(5), 2017, Available online through   ISSN International Journal of Mathematical Archive-8(5), 07, 5-55 Available online through wwwijmainfo ISSN 9 5046 GENERALIZED gic-rate SEQUENCE SPACES OF DIFFERENCE SEQUENCE OF MODAL INTERVAL NUMBERS DEFINED

More information

A METHOD FOR SOLVING FUZZY PARTIAL DIFFERENTIAL EQUATION BY FUZZY SEPARATION VARIABLE

A METHOD FOR SOLVING FUZZY PARTIAL DIFFERENTIAL EQUATION BY FUZZY SEPARATION VARIABLE International Research Journal of Engineering and Technology (IRJET) e-issn: 395-0056 Volume: 06 Issue: 0 Jan 09 www.irjet.net p-issn: 395-007 A METHOD FOR SOLVING FUZZY PARTIAL DIFFERENTIAL EQUATION BY

More information

Anti Q-Fuzzy Right R -Subgroup of Near-Rings with Respect to S-Norms

Anti Q-Fuzzy Right R -Subgroup of Near-Rings with Respect to S-Norms International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 2, Number 2 (2012), pp. 171-177 Research India Publications http://www.ripublication.com Anti Q-Fuzzy Right R -Subgroup of

More information

4 Inverse function theorem

4 Inverse function theorem Tel Aviv University, 2014/15 Analysis-III,IV 71 4 Inverse function theorem 4a What is the problem................ 71 4b Simple observations before the theorem..... 72 4c The theorem.....................

More information

A Method for Solving Fuzzy Differential Equations Using Runge-Kutta Method with Harmonic Mean of Three Quantities

A Method for Solving Fuzzy Differential Equations Using Runge-Kutta Method with Harmonic Mean of Three Quantities A Method for Solving Fuzzy Differential Equations Using Runge-Kutta Method with Harmonic Mean of Three Quantities D.Paul Dhayabaran 1 Associate Professor & Principal, PG and Research Department of Mathematics,

More information

On Neutrosophic Semi-Supra Open Set and Neutrosophic Semi-Supra Continuous Functions

On Neutrosophic Semi-Supra Open Set and Neutrosophic Semi-Supra Continuous Functions Neutrosophic Sets and Systems Vol. 16 2017 39 University of New Mexico On Neutrosophic Semi-Supra Open Set and Neutrosophic Semi-Supra Continuous Functions R. Dhavaseelan 1 M. Parimala 2 S. Jafari 3 F.

More information

Compenzational Vagueness

Compenzational Vagueness Compenzational Vagueness Milan Mareš Institute of information Theory and Automation Academy of Sciences of the Czech Republic P. O. Box 18, 182 08 Praha 8, Czech Republic mares@utia.cas.cz Abstract Some

More information

USING THE RANDOM ITERATION ALGORITHM TO CREATE FRACTALS

USING THE RANDOM ITERATION ALGORITHM TO CREATE FRACTALS USING THE RANDOM ITERATION ALGORITHM TO CREATE FRACTALS UNIVERSITY OF MARYLAND DIRECTED READING PROGRAM FALL 205 BY ADAM ANDERSON THE SIERPINSKI GASKET 2 Stage 0: A 0 = 2 22 A 0 = Stage : A = 2 = 4 A

More information

Intuitionistic Fuzzy Supra Gα Closed Sets In Intuitionistic Fuzzy Supra Topological Spaces

Intuitionistic Fuzzy Supra Gα Closed Sets In Intuitionistic Fuzzy Supra Topological Spaces Intuitionistic Fuzzy Supra Gα Closed Sets In Intuitionistic Fuzzy Supra Topological Spaces 1 S.Thulasi, 2 S.Chandrasekar 1,2 Assistant Professor, PG & Research Department of Mathematics, Arignar Anna Government

More information

Intuitionistic Fuzzy Neutrosophic Soft Topological Spaces

Intuitionistic Fuzzy Neutrosophic Soft Topological Spaces ISSNOnlin : 2319-8753 ISSN Print : 2347-6710 n ISO 3297: 2007 ertified Organization Intuitionistic Fuzzy Neutrosophic Soft Topological Spaces R.Saroja 1, Dr..Kalaichelvi 2 Research Scholar, Department

More information

COMMON FIXED POINT THEOREM FOR FOUR MAPPINGS IN INTUITIONISTIC FUZZY METRIC SPACE USING ABSORBING MAPS

COMMON FIXED POINT THEOREM FOR FOUR MAPPINGS IN INTUITIONISTIC FUZZY METRIC SPACE USING ABSORBING MAPS www.arpapress.com/volumes/vol10issue2/ijrras_10_2_12.pdf COMMON FIXED POINT THEOREM FOR FOUR MAPPINGS IN INTUITIONISTIC FUZZY METRIC SPACE USING ABSORBING MAPS Mona Verma 1 & R. S. Chandel 2 1 Technocrats

More information

SUPRA PAIRWISE CONNECTED AND PAIRWISE SEMI-CONNECTED SPACES

SUPRA PAIRWISE CONNECTED AND PAIRWISE SEMI-CONNECTED SPACES International Journal of Computer Engineering & Technology (IJCET) Volume 9, Issue 4, July-August 2018, pp. 23 32, Article ID: IJCET_09_04_003 Available online at http://www.iaeme.com/ijcet/issues.asp?jtype=ijcet&vtype=9&itype=4

More information

On the Central Limit Theorem on IFS-events

On the Central Limit Theorem on IFS-events Mathware & Soft Computing 12 (2005) 5-14 On the Central Limit Theorem on IFS-events J. Petrovičová 1 and B. Riečan 2,3 1 Department of Medical Informatics, Faculty of Medicine, P.J. Šafárik University,

More information

ATANASSOV S INTUITIONISTIC FUZZY SET THEORY APPLIED TO QUANTALES

ATANASSOV S INTUITIONISTIC FUZZY SET THEORY APPLIED TO QUANTALES Novi Sad J. Math. Vol. 47, No. 2, 2017, 47-61 ATANASSOV S INTUITIONISTIC FUZZY SET THEORY APPLIED TO QUANTALES Bijan Davvaz 1, Asghar Khan 23 Mohsin Khan 4 Abstract. The main goal of this paper is to study

More information

INTUITIONISTIC FUZZY TOPOLOGICAL SPACES

INTUITIONISTIC FUZZY TOPOLOGICAL SPACES INTUITIONISTIC FUZZY TOPOLOGICAL SPACES A THESIS SUBMITTED TO THE NATIONAL INSTITUTE OF TECHNOLOGY, ROURKELA IN THE PARTIAL FULFILMENT FOR THE DEGREE OF MASTER OF SCIENCE IN MATHEMATICS BY SMRUTILEKHA

More information

Introduction to fuzzy sets

Introduction to fuzzy sets Introduction to fuzzy sets Andrea Bonarini Artificial Intelligence and Robotics Lab Department of Electronics and Information Politecnico di Milano E-mail: bonarini@elet.polimi.it URL:http://www.dei.polimi.it/people/bonarini

More information

Soft pre T 1 Space in the Soft Topological Spaces

Soft pre T 1 Space in the Soft Topological Spaces International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 4, Number 2 (2014), pp. 203-207 Research India Publications http://www.ripublication.com Soft pre T 1 Space in the Soft Topological

More information

Division of Marks TOTAL [3 +2] Part -A Part-B Part-C

Division of Marks TOTAL [3 +2] Part -A Part-B Part-C GROUPS Division of Marks 1 2 5 MARK MARKS MARKS [3 +2] TOTAL Part -A Part-B Part-C 1 1 1 8 Set of Integers I or Z= Set Of Non negative integers ={0,1,2,3,4,--------,,,, -- - -- - - - -} Set Of Rationals=

More information

Sets, Induction, Counting

Sets, Induction, Counting 1 Sets and Relations Sets, Induction, Counting Using the basic definition of subsets, show that the empty set is a subset of every set. 1. Subset definition: A B : A B. 2. Empty set definition: an empty

More information

On Fuzzy Semi-Pre-Generalized Closed Sets

On Fuzzy Semi-Pre-Generalized Closed Sets BULLETIN of the Malaysian Mathematical Sciences Society http://math.usm.my/bulletin Bull. Malays. Math. Sci. Soc. (2) 28(1) (2005), 19 30 On Fuzzy Semi-Pre-Generalized Closed Sets 1 R.K. Saraf, 2 Govindappa

More information

Some Basic Properties of D -fuzzy metric spaces and Cantor s Intersection Theorem

Some Basic Properties of D -fuzzy metric spaces and Cantor s Intersection Theorem Advances in Fuzzy Mathematics (AFM). ISSN 0973-533X Volume 13, Number 1 (2018), pp. 49 58 Research India Publications http://www.ripublication.com/afm.htm Some Basic Properties of D -fuzzy metric spaces

More information

INTUITIONISTIC FUZZY S- NORMAL AND POLYNOMIAL MATRICES

INTUITIONISTIC FUZZY S- NORMAL AND POLYNOMIAL MATRICES INTUITIONISTIC FUZZY S- NORMAL AND POLYNOMIAL MATRICES *R.Indira, **V.Subharani *(Assistant Professor(Sr.Gr),Department of Mathematics, Anna University, CEG campus, Chennai-600025, Tamilnadu) **(Research

More information

Lecture 16 : Definitions, theorems, proofs. MTH299 Transition to Formal Mathematics Michigan State University 1 / 8

Lecture 16 : Definitions, theorems, proofs. MTH299 Transition to Formal Mathematics Michigan State University 1 / 8 Lecture 16 : Definitions, theorems, proofs MTH299 Transition to Formal Mathematics Michigan State University 1 / 8 Meanings Definition : an explanation of the mathematical meaning of a word. Theorem :

More information

Fuzzy histograms and fuzzy probability distributions

Fuzzy histograms and fuzzy probability distributions Fuzzy histograms and fuzzy probability distributions R. Viertl Wiedner Hauptstraße 8 / 7-4 Vienna R.Viertl@tuwien.ac.at W. Trutschnig Wiedner Hauptstraße 8 / 7-4 Vienna trutschnig@statistik.tuwien.ac.at

More information

Intuitionistic Fuzzy Semipre Generalized Connected Spaces

Intuitionistic Fuzzy Semipre Generalized Connected Spaces Intuitionistic Fuzzy Semipre Generalized Connected Spaces M. Thirumalaiswamy Department of Mathematics, NGM College, Pollachi-642001, Tamil Nadu, India K. M. Arifmohammed Department of Mathematics, NGM

More information

On topologies induced by the soft topology

On topologies induced by the soft topology Tamsui Oxford Journal of Information and Mathematical Sciences 31(1) (2017) 49-59 Aletheia University On topologies induced by the soft topology Evanzalin Ebenanjar P. y Research scholar, Department of

More information

IF Generalized Alpha Supra Continuous Mappings In Intuitionistic Fuzzy Supra Topological Spaces

IF Generalized Alpha Supra Continuous Mappings In Intuitionistic Fuzzy Supra Topological Spaces IF Generalized Alpha Supra Continuous Mappings In Intuitionistic Fuzzy Supra Topological Spaces 1 S.Thulasi, 2 S.Chandrasekar 1,2 Assistant Professor, PG & Research Department of Mathematics, Arignar Anna

More information

(, ) Anti Fuzzy Subgroups

(, ) Anti Fuzzy Subgroups International Journal of Fuzzy Mathematis and Systems. ISSN 2248-9940 Volume 3, Number (203), pp. 6-74 Researh India Publiations http://www.ripubliation.om (, ) Anti Fuzzy Subgroups P.K. Sharma Department

More information

Interpolation of Fuzzy if-then rules in context of Zadeh's Z-numbers P.Rani 1, G.Velammal 2 1

Interpolation of Fuzzy if-then rules in context of Zadeh's Z-numbers P.Rani 1, G.Velammal 2 1 American International Journal of Research in Science, Technology, Engineering & Mathematics Available online at http://www.iasir.net ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629

More information

@FMI c Kyung Moon Sa Co.

@FMI c Kyung Moon Sa Co. Annals of Fuzzy Mathematics and Informatics Volume 5 No. 1 (January 013) pp. 157 168 ISSN: 093 9310 (print version) ISSN: 87 635 (electronic version) http://www.afmi.or.kr @FMI c Kyung Moon Sa Co. http://www.kyungmoon.com

More information

On Neutrosophic Supra P re-continuous Functions in Neutrosophic Topological Spaces

On Neutrosophic Supra P re-continuous Functions in Neutrosophic Topological Spaces On Neutrosophic Supra P re-continuous Functions in Neutrosophic Topological Spaces M. Parimala 1, M. Karthika 2, R. Dhavaseelan 3, S. Jafari 4 1 Department of Mathematics, Bannari Amman Institute of Technology,

More information

On Homomorphism and Algebra of Functions on BE-algebras

On Homomorphism and Algebra of Functions on BE-algebras On Homomorphism and Algebra of Functions on BE-algebras Kulajit Pathak 1, Biman Ch. Chetia 2 1. Assistant Professor, Department of Mathematics, B.H. College, Howly, Assam, India, 781316. 2. Principal,

More information

Some aspects on hesitant fuzzy soft set

Some aspects on hesitant fuzzy soft set Borah & Hazarika Cogent Mathematics (2016 3: 1223951 APPLIED & INTERDISCIPLINARY MATHEMATICS RESEARCH ARTICLE Some aspects on hesitant fuzzy soft set Manash Jyoti Borah 1 and Bipan Hazarika 2 * Received:

More information

ISSN: Received: Year: 2018, Number: 24, Pages: Novel Concept of Cubic Picture Fuzzy Sets

ISSN: Received: Year: 2018, Number: 24, Pages: Novel Concept of Cubic Picture Fuzzy Sets http://www.newtheory.org ISSN: 2149-1402 Received: 09.07.2018 Year: 2018, Number: 24, Pages: 59-72 Published: 22.09.2018 Original Article Novel Concept of Cubic Picture Fuzzy Sets Shahzaib Ashraf * Saleem

More information

A Study on Vertex Degree of Cartesian Product of Intuitionistic Triple Layered Simple Fuzzy Graph

A Study on Vertex Degree of Cartesian Product of Intuitionistic Triple Layered Simple Fuzzy Graph Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 9 (2017), pp. 6525-6538 Research India Publications http://www.ripublication.com A Study on Vertex Degree of Cartesian Product

More information

Solution of Fuzzy Growth and Decay Model

Solution of Fuzzy Growth and Decay Model Solution of Fuzzy Growth and Decay Model U. M. Pirzada School of Engineering and Technology, Navrachana University of Vadodara, salmap@nuv.ac.in Abstract: Mathematical modelling for population growth leads

More information