PARAMETRIC OPERATIONS FOR TWO FUZZY NUMBERS
|
|
- April Melton
- 5 years ago
- Views:
Transcription
1 Commun. Korean Math. Soc. 8 (03), No. 3, pp PARAMETRIC OPERATIONS FOR TWO FUZZY NUMBERS Jisoo Byun and Yong Sik Yun Abstract. There are many results on the extended operations of two fuzzy numbers based on the Zadeh s extension principle. For the calculation, we have to use existing operations between two α-cuts. In this paper, we define parametric operations between two α-cuts which are different from the existing operations. But we have the same results as the extended operations of Zadeh s principle.. Introduction In afuzzy set theory, varioustypes ofoperationsbetween twofuzzy sets have been defined and studied. One of the most famous operation is the extended operations and there are many results on the extended operations of two fuzzy numbers based on the Zadeh s extension principle. Especially, many results of the extended algebraic operations between two triangular fuzzy numbers are very well-known. In this paper, we prove that there exists some function (called the parametric α-function) which characterizes the α-cuts of fuzzy number. Using the parametric α-functions, we define parametric operations between two α-cuts. And then we define parametric operations between two fuzzy numbers. Finally we get the same results for extended addition, extended subtraction, extended multiplication and extended division between two fuzzy numbers.. Preliminaries Let X be a set, A be a fuzzy set in X and µ A (x) be the membership function of A. Definition.. For α [0,], the set A α = {x X µ A (x) α} is said to be the α-cut of a fuzzy set A. Received July 0, Mathematics Subject Classification. 47N30. Key words and phrases. extended operation, parametric operation, continuous fuzzy number. The first author was supported by Kyungnam University research fund, c 03 The Korean Mathematical Society
2 636 JISOO BYUN AND YONG SIK YUN Then the followings are well known. The membership function of a fuzzy set A can be expressed in terms of the characteristic functions of its α-cuts according to the formula where µ A (x) = sup min(α,µ Aα (x)), α (0,] µ Aα (x) = Definition.. A fuzzy set A is convex if for all x,x X and λ [0,]. {, x A α, 0, otherwise. µ A (λx +( λ)x ) min(µ A (x ), µ A (x )) If we apply the extension principle to algebraic operations for fuzzy sets, we have the following definitions for extended operations. Definition.3 ([3]). The extended addition, extended subtraction, extended multiplication and extended division are defined by () extended addition A(+)B : µ A(+)B (z) = sup min{µ A (x),µ B (y)}, x A,y B. z=x+y () extended subtraction A( )B : µ A( )B (z) = sup min{µ A (x),µ B (y)}, x A,y B. z=x y (3) extended multiplication A( )B : µ A( )B (z) = sup min{µ A (x),µ B (y)}, x A,y B. z=x y (4) extended division A(/)B : µ A(/)B (z) = sup min{µ A (x),µ B (y)}, x A,y B. z=x/y Remark.4 ([]). Let A and B be fuzzy sets and A α = [, ] and B α = [b (α) ] be the α-cuts of A and B, respectively. Then the α-cuts of A(+)B,,b(α) A( )B, A( )B and A(/)B can be calculated as follows. () (A(+)B) α = A α (+)B α = [ +b (α),a(α) +b (α) ]. () (A( )B) α = A α ( )B α = [ b (α),a(α) b (α) ]. (3) (A( )B) α = A α ( )B α = [ b(α),a(α) b(α) ]. (4) (A(/)B) α = A α (/)B α = [ /b(α),a(α) /b(α) ]. In case X = R, there are many more definite results. Definition.5 ([4]). A fuzzy number A is a convex fuzzy set on R such that () there exists unique x R with µ A (x) =, () µ A (x) is piecewise continuous.
3 PARAMETRIC OPERATIONS FOR TWO FUZZY NUMBERS 637 Definition.6. A triangular fuzzy number on R is a fuzzy number A which has a membership function 0, x < a, a 3 x, x a µ A (x) = a a, a x < a, a 3 x a 3 a, a x < a 3, where a i R, i =,,3. The above triangular fuzzy number is denoted by A = (a,a,a 3 ). In the calculations of algebraic operations for two fuzzy numbers, the concept of α- cut is very important. The following results of algebraic operations for two triangular fuzzy numbers are well-known. Example.7 ([]). Let A = (,,4) and B = (,4,5) be triangular fuzzy numbers, i.e., 0, x <, 4 x, µ A (x) = x, x <, x+, x < 4, and 0, x <, 5 x, µ B (x) = x, x < 4, x+5, 4 x < 5, we calculate exactly the above four operations using α-cuts. Let A α and B α be the α-cuts of A and B, respectively. Let A α = [, a(α) ] and B α = [b (α), b(α) ]. Since α = a(α) and α = a(α) +, we have A α = [,a(α) b(α) ] = [α +, α + 4]. Since α = and α = b (α) + 5, B α = [b (α),b(α) ] = [α+, α+5]. () extended addition: By the above facts, A α (+)B α = [ +b (α),a(α) +b (α) ] = [3α+3, 3α+9]. Thus µ A(+)B (x) = 0 on the interval [3,9] c and µ A(+)B (x) = at x = 6. By the routine calculation, we have 0, x < 3, 9 x, µ A(+)B (x) = 3x, 3 x < 6, x+3, 6 x < 9, i.e., A(+)B = (3,6,9). 3 () extended subtraction: Since A α ( )B α = [ b (α),a(α) b (α) ] = [α 4, 4α + ], we have µ A( )B (x) = 0 on the interval [ 4,] c and µ A( )B (x) = at x =. By the
4 638 JISOO BYUN AND YONG SIK YUN routine calculation, we have 0, x < 4, x, µ A( )B (x) = x+, 4 x <, 4 x+, x <, i.e., A( )B = ( 4,,). (3) extended multiplication: Since A α ( )B α = [ b (α),a(α) b (α) ] = [α + 4α +,α 4α + 0], µ A( )B (x) = 0 on the interval [,0] c and µ A( )B (x) = at x = 8. By the routine calculation, we have 0, x <, 0 x, µ A( )B (x) = + x, x < 8, 7 9+x, 8 x < 0. Thus A( )B is not a triangular fuzzy number. (4) extended division: Since A α (/)B α = [ a(α), a(α) b (α) ] = [ α+ b (α) α+5, α+ α+ ], µ A(/)B(x) = 0 on the interval [ 5,]c and µ A(/)B (x) = at x =. By the routine calculation, we have 0, x < 5, x, 5x µ A(/)B (x) = x+, 5 x <, x+ x+, x <. Thus A(/)B is not a triangular fuzzy number. Generally, for two triangular fuzzy numbers A and B, A(+)B and A( )B always become triangular fuzzy numbers. But A( )B and A(/)B may not be triangular fuzzy numbers. 3. Main results In this section, we study a fuzzy number defined on R. If A is a fuzzy number on R, the membership function µ A (x) is piecewise continuous. We will find some piecewise continuous function f α (t) such that the α-cut A α of A equals to {f α (t) t [0,]} in Theorem 3.. Using f α (t), we define parametric operations. And then we have the same results in Theorem 3.5 as the extended operations. Definition 3.. A α-cut of a fuzzy number A is defined by A α = {x R µ A (x) α} if α (0,] and A α =cl {x R µ A (x) > α} if α = 0. Note that a piecewise continuous function f on [a,b] R means that the function f is continuous on [a,b] except finitely many points (it may contains a or b) in [a,b].
5 PARAMETRIC OPERATIONS FOR TWO FUZZY NUMBERS 639 Theorem 3.. Let A be a fuzzy number defined on R and A α = {x A µ A (x) α} be a α-cut of A. Then for all α [0,], there exists a piecewise continuous function f α (t) defined on [0,] such that A α = {f α (t) t [0,]}. Proof. Since A is a fuzzy number defined on R, the membership function µ A (x) is piecewise continuous. Let A 0 = [a,b] be the 0-cut of A. Then µ A (x) is continuous on [a,b] except finitely many points x < x < < x n. Note that x and x n may equal to the end points a and b, respectively. Let α [0,] be fixed. Let and be the left and right end points of A α, respectively. Assume that x < < x i < < x i+ < < x i+m < < x i+m+ < < x n. If the end points and (or one of them) equal to some x i, it can be proved similarly. Define except the points f α (t) = ( )t+a(α) if t [0,], t = x i+j, j =,,...,m. Then f α (t) is piecewise continuous on [0,] and A α = {f α (t) t [0,]}. In fact, if x A α,µ A (x) α and x x i (i =,,...,n). Thus x. If x = or x =, f α(0) = or f α () =. If a(α) < x <, we have Let 0 < x a(α) <. t = x a(α). Then t (0,) and f α (t) = x. Thus x {f α (t) t [0,]}. This proves that A α {f α (t) t [0,]}. Let x = f α (t) = ( )t + for some t [0,] except t = xi+j a(α), j =,,...,m. Then x and x x i (i =,,...,n). Thus µ A (x) α and x A α. The proof is complete. We call a fuzzy number A is continuous if the membership function µ A (x) of A is continuous. If A is a continuous fuzzy number, then the α-cut A α of A is a closed interval in R. Corollary 3.3. Let A be a continuous fuzzy number defined on R. Then the α-cut A α = {x A µ A (x) α} becomes a closed interval [,a(α) ] on R. And for all α [0,], there exists a continuous function f α (t) defined on [0,] such that [, ] = {f α(t) t [0,]}.
6 640 JISOO BYUN AND YONG SIK YUN The above corresponding function f α (t) is said to be the parametric α- function of A. And the parametric α-function of A is denoted by f α (t) or f A (t). Definition 3.4. Let A and B be two continuous fuzzy numbers defined on R and A α,b α,f A (t),f B (t) be the α-cuts and parametric α-functions of A and B, respectively. The parametric addition, parametric subtraction, parametric multiplication and parametric division are fuzzy numbers which have their α- cuts as followings. () parametric addition A(+) p B : (A(+) p B) α = {f A (t)+f B (t) t [0,]}. () parametric subtraction A( ) p B : (A( ) p B) α = {f A (t) f B ( t) t [0,]}. (3) parametric multiplication A( ) p B : (4) parametric division A(/) p B : (A( ) p B) α = {f A (t) f B (t) t [0,]}. (A(/) p B) α = {f A (t)/f B ( t) t [0,]}. Theorem 3.5. Let A and B be two continuous fuzzy numbers defined on R. Then we have the followings. () A(+) p B = A(+)B. () A( ) p B = A( )B. (3) A( ) p B = A( )B. (4) A(/) p B = A(/)B. Proof. Let A α = [,a(α) ], B α = [b (α), b(α) ], f A(t), f B (t) be the α-cuts and parametric α-functions of A and B, respectively. Then f A (0) =, f A() =, f B(0) = b (α) and f B () = b (α). () Since f A (0)+f B (0) = + b (α) and f A () +f B () = +b (α), we have (A(+) p B) α = {f A (t)+f B (t) t [0,]} Thus A(+) p B = A(+)B. = [ +b (α), a(α) +b (α) ] = (A(+)B) α. () Since f A (0) f B () = b (α) and f A () f B (0) = b (α), we have (A( ) p B) α = {f A (t) f B ( t) t [0,]} = [ b (α), a(α) b (α) ] = (A( )B) α.
7 PARAMETRIC OPERATIONS FOR TWO FUZZY NUMBERS 64 Thus A( ) p B = A( )B. (3) Since f A (0) f B (0) = b (α) and f A () f B () = Thus A( ) p B = A( )B. (A( ) p B) α = {f A (t) f B (t) t [0,]} = [ b (α), a(α) b (α) ] = (A( )B) α. (4) Since f A (0)/f B () = /b(α) and f A ()/f B (0) = (A(/) p B) α = {f A (t)/f B ( t) t [0,]} = [ /b (α), a(α) /b(α) ] = (A(/)B) α. b (α) /b(α), we have, we have Thus A(/) p B = A(/)B. Corollary 3.6. Let A and B be two triangular fuzzy numbers defined on R. Then we have the followings. () A(+) p B = A(+)B. () A( ) p B = A( )B. (3) A( ) p B = A( )B. (4) A(/) p B = A(/)B. Example 3.7. InExample.7,theα-cutsoftwotriangularfuzzynumbersA = (,,4) and B = (,4,5) are A α = [α+, α+4] and B α = [α+, α+5], respectively. In this case, A α = f A (t) = {( 3α+3)t+α+ t [0,]} and B α = f B (t) = {( 3α+3)t+α+ t [0,]}. Thus we have the followings. () (A(+) p B) α = {( 6α+6)t+3α+3 t [0,]}. () (A( ) p B) α = {( 6α+6)t+α 4 t [0,]}. (3) (A( ) p B) α = {(( 3α+3)t+α+) (( 3α+3)t+α+) t [0,]}. { ( 3α+3)t+α+ } (4) (A(/) p B) α = (3α 3)t α+5 t [0,]. We have the same α-cuts as those in Example.7. In fact, A α (+)B α = [ +b (α),a(α) +b (α) ] = [3α+3, 3α+9], A α ( )B α = [ b (α),a(α) b (α) ] = [α 4, 4α+], A α ( )B α = [ b (α),a(α) b (α) ] = [α +4α+,α 4α+0]
8 64 JISOO BYUN AND YONG SIK YUN and A α (/)B α = [ a (α) b (α) ] [, a(α) α+ = b (α) α+5, α+ ]. α+ References [] A. Kaufmann and M. M. Gupta, Introduction To Fuzzy Arithmetic, Theory and Applications, Van Nostrand Reinhold Co., New York, 985. [] Y. S. Yun, S. U. Ryu, and J. W. Park, The generalized triangular fuzzy sets, J. Chungcheong Math. Soc. (009), no., [3] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning. I, Inform. Sci. 8 (975), [4] H. J. Zimmermann, Fuzzy Set Theory - and Its Applications, Kluwer-Nijhoff Publishing, 985. Jisoo Byun Department of Mathematics Education Kyungnam University Gyeongsangnam-do 63-70, Korea address: jisoobyun@kyungnam.ac.kr Yong Sik Yun Department of Mathematics and Research Institute for Basic Sciences Jeju National University Jeju , Korea address: yunys@jejunu.ac.kr
A Generalization of Generalized Triangular Fuzzy Sets
International Journal of Mathematical Analysis Vol, 207, no 9, 433-443 HIKARI Ltd, wwwm-hikaricom https://doiorg/02988/ijma2077350 A Generalization of Generalized Triangular Fuzzy Sets Chang Il Kim Department
More informationON FUZZY TOPOLOGICAL BCC-ALGEBRAS 1
Discussiones Mathematicae General Algebra and Applications 20 (2000 ) 77 86 ON FUZZY TOPOLOGICAL BCC-ALGEBRAS 1 Wies law A. Dudek Institute of Mathematics Technical University Wybrzeże Wyspiańskiego 27,
More informationFUZZY BCK-FILTERS INDUCED BY FUZZY SETS
Scientiae Mathematicae Japonicae Online, e-2005, 99 103 99 FUZZY BCK-FILTERS INDUCED BY FUZZY SETS YOUNG BAE JUN AND SEOK ZUN SONG Received January 23, 2005 Abstract. We give the definition of fuzzy BCK-filter
More informationSolution of Fuzzy System of Linear Equations with Polynomial Parametric Form
Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 7, Issue 2 (December 2012), pp. 648-657 Applications and Applied Mathematics: An International Journal (AAM) Solution of Fuzzy System
More informationALGEBRAIC OPERATIONS ON FUZZY NUMBERS USING OF LINEAR FUNCTIONS. Jae Deuk Myung
Kangweon-Kyungki Math. Jour. 11 (2003), No. 1, pp. 1 7 ALGEBRAIC OPERATIONS ON FUZZY NUMBERS USING OF LINEAR FUNCTIONS Jae Deuk Myung Abstract. In this paper, we introduce two types of algebraic operations
More information@FMI c Kyung Moon Sa Co.
Annals of Fuzzy Mathematics and Informatics Volume 1, No. 1, (January 2011), pp. 97-105 ISSN 2093-9310 http://www.afmi.or.kr @FMI c Kyung Moon Sa Co. http://www.kyungmoon.com Positive implicative vague
More informationRedefined Fuzzy BH-Subalgebra of BH-Algebras
International Mathematical Forum, 5, 2010, no. 34, 1685-1690 Redefined Fuzzy BH-Subalgebra of BH-Algebras Hyoung Gu Baik School of Computer and Information Ulsan college, Ulsan 682-090, Korea hgbaik@mail.uc.ac.kr
More informationA Fuzzy Approach to Priority Queues
International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 2, Number 4 (2012), pp. 479-488 Research India Publications http://www.ripublication.com A Fuzzy Approach to Priority Queues
More informationGeneral Dual Fuzzy Linear Systems
Int. J. Contemp. Math. Sciences, Vol. 3, 2008, no. 28, 1385-1394 General Dual Fuzzy Linear Systems M. Mosleh 1 Science and Research Branch, Islamic Azad University (IAU) Tehran, 14778, Iran M. Otadi Department
More informationA CHARACTERIZATION OF REFLEXIVITY OF NORMED ALMOST LINEAR SPACES
Comm. Korean Math. Soc. 12 (1997), No. 2, pp. 211 219 A CHARACTERIZATION OF REFLEXIVITY OF NORMED ALMOST LINEAR SPACES SUNG MO IM AND SANG HAN LEE ABSTRACT. In [6] we proved that if a nals X is reflexive,
More informationFUZZY ARITHMETIC BASED LYAPUNOV SYNTHESIS IN THE DESIGN OF STABLE FUZZY CONTROLLERS: A COMPUTING WITH WORDS APPROACH
Int. J. Appl. Math. Comput. Sci., 2002, Vol.12, No.3, 411 421 FUZZY ARITHMETIC BASED LYAPUNOV SYNTHESIS IN THE DESIGN OF STABLE FUZZY CONTROLLERS: A COMPUTING WITH WORDS APPROACH CHANGJIU ZHOU School of
More informationPAijpam.eu ON FUZZY INVENTORY MODEL WITH ALLOWABLE SHORTAGE
International Journal of Pure and Applied Mathematics Volume 99 No. 205, 5-7 ISSN: 3-8080 (printed version; ISSN: 34-3395 (on-line version url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v99i.
More informationCrisp Profile Symmetric Decomposition of Fuzzy Numbers
Applied Mathematical Sciences, Vol. 10, 016, no. 8, 1373-1389 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/ams.016.59598 Crisp Profile Symmetric Decomposition of Fuzzy Numbers Maria Letizia Guerra
More informationThe Trapezoidal Fuzzy Number. Linear Programming
Journal of Innovative Technology and Education, Vol. 3, 2016, no. 1, 123-130 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/jite.2016.6825 The Trapezoidal Fuzzy Number Linear Programming Karyati
More information2 Basic Results on Subtraction Algebra
International Mathematical Forum, 2, 2007, no. 59, 2919-2926 Vague Ideals of Subtraction Algebra Young Bae Jun Department of Mathematics Education (and RINS) Gyeongsang National University, Chinju 660-701,
More informationABSTRACT 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 informationFuzzy Distance Measure for Fuzzy Numbers
Australian Journal of Basic Applied Sciences, 5(6): 58-65, ISSN 99-878 Fuzzy Distance Measure for Fuzzy Numbers Hamid ouhparvar, Abdorreza Panahi, Azam Noorafkan Zanjani Department of Mathematics, Saveh
More informationScientiae Mathematicae Japonicae Online, Vol.4 (2001), a&i IDEALS ON IS ALGEBRAS Eun Hwan Roh, Seon Yu Kim and Wook Hwan Shim Abstract. In th
Scientiae Mathematicae Japonicae Online, Vol.4 (2001), 21 25 21 a&i IDEALS ON IS ALGEBRAS Eun Hwan Roh, Seon Yu Kim and Wook Hwan Shim Abstract. In this paper, we introduce the concept of an a&i-ideal
More informationELA ON A SCHUR COMPLEMENT INEQUALITY FOR THE HADAMARD PRODUCT OF CERTAIN TOTALLY NONNEGATIVE MATRICES
ON A SCHUR COMPLEMENT INEQUALITY FOR THE HADAMARD PRODUCT OF CERTAIN TOTALLY NONNEGATIVE MATRICES ZHONGPENG YANG AND XIAOXIA FENG Abstract. Under the entrywise dominance partial ordering, T.L. Markham
More informationNumerical Method for Solving Fuzzy Nonlinear Equations
Applied Mathematical Sciences, Vol. 2, 2008, no. 24, 1191-1203 Numerical Method for Solving Fuzzy Nonlinear Equations Javad Shokri Department of Mathematics, Urmia University P.O.Box 165, Urmia, Iran j.shokri@mail.urmia.ac.ir
More informationPseudo MV-Algebras Induced by Functions
International Mathematical Forum, 4, 009, no., 89-99 Pseudo MV-Algebras Induced by Functions Yong Chan Kim Department of Mathematics, Kangnung National University, Gangneung, Gangwondo 10-70, Korea yck@kangnung.ac.kr
More informationType-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 informationUncertain Systems are Universal Approximators
Uncertain Systems are Universal Approximators Zixiong Peng 1 and Xiaowei Chen 2 1 School of Applied Mathematics, Central University of Finance and Economics, Beijing 100081, China 2 epartment of Risk Management
More informationFuzzy Sets. Mirko Navara navara/fl/fset printe.pdf February 28, 2019
The notion of fuzzy set. Minimum about classical) sets Fuzzy ets Mirko Navara http://cmp.felk.cvut.cz/ navara/fl/fset printe.pdf February 8, 09 To aviod problems of the set theory, we restrict ourselves
More informationSang-baek Lee*, Jae-hyeong Bae**, and Won-gil Park***
JOURNAL OF THE CHUNGCHEONG MATHEMATICAL SOCIETY Volume 6, No. 4, November 013 http://d.doi.org/10.14403/jcms.013.6.4.671 ON THE HYERS-ULAM STABILITY OF AN ADDITIVE FUNCTIONAL INEQUALITY Sang-baek Lee*,
More informationSubalgebras and ideals in BCK/BCI-algebras based on Uni-hesitant fuzzy set theory
EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 11, No. 2, 2018, 417-430 ISSN 1307-5543 www.ejpam.com Published by New York Business Global Subalgebras and ideals in BCK/BCI-algebras based on Uni-hesitant
More informationMixture inventory model in fuzzy demand with controllable lead time
Mixture inventory model in fuzzy demand with controllable lead time Jason Chao-Hsien Pan Department of Industrial Management National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C.
More informationAN EFFICIENT APPROACH FOR SOLVING A WIDE CLASS OF FUZZY LINEAR PROGRAMMING PROBLEMS
AN EFFICIENT APPROACH FOR SOLVING A WIDE CLASS OF FUZZY LINEAR PROGRAMMING PROBLEMS A. V. KAMYAD N. HASSANZADEH J. CHAJI Abstract. In this paper we are going to introduce an efficient approach for solving
More informationInternational Journal of Pure and Applied Sciences and Technology
Int. J. Pure Appl. Sci. Technol., 14(1) (2013), pp. 16-26 International Journal of Pure and Applied Sciences and Technology ISSN 2229-6107 Available online at www.ijopaasat.in Research Paper First Order
More informationShih-sen Chang, Yeol Je Cho, and Haiyun Zhou
J. Korean Math. Soc. 38 (2001), No. 6, pp. 1245 1260 DEMI-CLOSED PRINCIPLE AND WEAK CONVERGENCE PROBLEMS FOR ASYMPTOTICALLY NONEXPANSIVE MAPPINGS Shih-sen Chang, Yeol Je Cho, and Haiyun Zhou Abstract.
More informationON T-FUZZY GROUPS. Inheung Chon
Kangweon-Kyungki Math. Jour. 9 (2001), No. 2, pp. 149 156 ON T-FUZZY GROUPS Inheung Chon Abstract. We characterize some properties of t-fuzzy groups and t-fuzzy invariant groups and represent every subgroup
More informationOn approximation of the fully fuzzy fixed charge transportation problem
Available online at http://ijim.srbiau.ac.ir/ Int. J. Industrial Mathematics (ISSN 2008-5621) Vol. 6, No. 4, 2014 Article ID IJIM-00462, 8 pages Research Article On approximation of the fully fuzzy fixed
More informationIntersection and union of type-2 fuzzy sets and connection to (α 1, α 2 )-double cuts
EUSFLAT-LFA 2 July 2 Aix-les-Bains, France Intersection and union of type-2 fuzzy sets and connection to (α, α 2 )-double cuts Zdenko Takáč Institute of Information Engineering, Automation and Mathematics
More informationAN EASY COMPUTATION OF MIN AND MAX OPERATIONS FOR FUZZY NUMBERS
J. Appl. Math. & Computing Vol. 21(2006), No. 1-2, pp. 555-561 AN EASY COMPUTATION OF MIN AND MAX OPERATIONS FOR FUZZY NUMBERS DUG HUN HONG* AND KYUNG TAE KIM Abstract. Recently, Chiu and WangFuzzy sets
More informationMODAL, NECESSITY, SUFFICIENCY AND CO-SUFFICIENCY OPERATORS. Yong Chan Kim
Korean J. Math. 20 2012), No. 3, pp. 293 305 MODAL, NECESSITY, SUFFICIENCY AND CO-SUFFICIENCY OPERATORS Yong Chan Kim Abstract. We investigate the properties of modal, necessity, sufficiency and co-sufficiency
More informationSOLVING FUZZY LINEAR SYSTEMS OF EQUATIONS
ROMAI J, 4, 1(2008), 207 214 SOLVING FUZZY LINEAR SYSTEMS OF EQUATIONS A Panahi, T Allahviranloo, H Rouhparvar Depart of Math, Science and Research Branch, Islamic Azad University, Tehran, Iran panahi53@gmailcom
More informationResearch Article Solution of Fuzzy Matrix Equation System
International Mathematics and Mathematical Sciences Volume 2012 Article ID 713617 8 pages doi:101155/2012/713617 Research Article Solution of Fuzzy Matrix Equation System Mahmood Otadi and Maryam Mosleh
More informationFUZZY RELATIONS, FUZZY GRAPHS, AND FUZZY ARITHMETIC
FUZZY RELATIONS, FUZZY GRAPHS, AND FUZZY ARITHMETIC INTRODUCTION 3 Important concepts in fuzzy logic Fuzzy Relations Fuzzy Graphs } Form the foundation of fuzzy rules Extension Principle -- basis of fuzzy
More informationarxiv: v1 [math.fa] 1 Sep 2014
SOME GENERALIZED NUMERICAL RADIUS INEQUALITIES FOR HILBERT SPACE OPERATORS MOSTAFA SATTARI 1, MOHAMMAD SAL MOSLEHIAN 1 AND TAKEAKI YAMAZAKI arxiv:1409.031v1 [math.fa] 1 Sep 014 Abstract. We generalize
More informationDecomposition and Intersection of Two Fuzzy Numbers for Fuzzy Preference Relations
S S symmetry Article Decomposition and Intersection of Two Fuzzy Numbers for Fuzzy Preference Relations Hui-Chin Tang ID Department of Industrial Engineering and Management, National Kaohsiung University
More informationTHE NUMBERS THAT CAN BE REPRESENTED BY A SPECIAL CUBIC POLYNOMIAL
Commun. Korean Math. Soc. 25 (2010), No. 2, pp. 167 171 DOI 10.4134/CKMS.2010.25.2.167 THE NUMBERS THAT CAN BE REPRESENTED BY A SPECIAL CUBIC POLYNOMIAL Doo Sung Park, Seung Jin Bang, and Jung Oh Choi
More informationsome characterizations of parabolas.
KYUNGPOOK Math. J. 53(013), 99-104 http://dx.doi.org/10.5666/kmj.013.53.1.99 Some Characterizations of Parabolas Dong-Soo Kim and Jong Ho Park Department of Mathematics, Chonnam National University, Kwangju
More informationOperations on level graphs of bipolar fuzzy graphs
BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 2(81), 2016, Pages 107 124 ISSN 1024 7696 Operations on level graphs of bipolar fuzzy graphs Wieslaw A. Dudek, Ali A. Talebi Abstract.
More informationSoft set theoretical approach to residuated lattices. 1. Introduction. Young Bae Jun and Xiaohong Zhang
Quasigroups and Related Systems 24 2016, 231 246 Soft set theoretical approach to residuated lattices Young Bae Jun and Xiaohong Zhang Abstract. Molodtsov's soft set theory is applied to residuated lattices.
More informationEXPONENTIAL PROBABILITY INEQUALITY FOR LINEARLY NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES
Commun. Korean Math. Soc. (007), No. 1, pp. 137 143 EXPONENTIAL PROBABILITY INEQUALITY FOR LINEARLY NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES Mi-Hwa Ko 1, Yong-Kab Choi, and Yue-Soon Choi Reprinted
More informationDUAL BCK-ALGEBRA AND MV-ALGEBRA. Kyung Ho Kim and Yong Ho Yon. Received March 23, 2007
Scientiae Mathematicae Japonicae Online, e-2007, 393 399 393 DUAL BCK-ALGEBRA AND MV-ALGEBRA Kyung Ho Kim and Yong Ho Yon Received March 23, 2007 Abstract. The aim of this paper is to study the properties
More informationγ-synchronized fuzzy automata and their applications V. Karthikeyan, M. Rajasekar
Annals of Fuzzy Mathematics and Informatics Volume 10, No. 2, (August 2015), pp. 331 342 ISSN: 2093 9310 (print version) ISSN: 2287 6235 (electronic version) http://www.afmi.or.kr @FMI c Kyung Moon Sa
More informationFuzzy system reliability analysis using time dependent fuzzy set
Control and Cybernetics vol. 33 (24) No. 4 Fuzzy system reliability analysis using time dependent fuzzy set by Isbendiyar M. Aliev 1 and Zohre Kara 2 1 Institute of Information Technologies of National
More informationA STUDY ON ANTI FUZZY SUB-BIGROUP
A STUDY ON ANTI FUZZY SUB-BIGROUP R.Muthuraj Department of Mathematics M.Rajinikannan Department of MCA M.S.Muthuraman Department of Mathematics Abstract In this paper, we made an attempt to study the
More informationQ-cubic ideals of near-rings
Inter national Journal of Pure and Applied Mathematics Volume 113 No. 10 2017, 56 64 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Q-cubic ideals
More informationInternational Mathematical Forum, Vol. 7, 2012, no. 11, M. Asghari-Larimi
International Mathematical Forum, Vol. 7, 2012, no. 11, 531-538 Upper and Lower (α, β)- Intuitionistic Fuzzy Set M. Asghari-Larimi Department of Mathematics Golestan University, Gorgan, Iran asghari2004@yahoo.com
More informationBEST APPROXIMATIONS AND ORTHOGONALITIES IN 2k-INNER PRODUCT SPACES. Seong Sik Kim* and Mircea Crâşmăreanu. 1. Introduction
Bull Korean Math Soc 43 (2006), No 2, pp 377 387 BEST APPROXIMATIONS AND ORTHOGONALITIES IN -INNER PRODUCT SPACES Seong Sik Kim* and Mircea Crâşmăreanu Abstract In this paper, some characterizations of
More informationA Method for Solving Intuitionistic Fuzzy Transportation Problem using Intuitionistic Fuzzy Russell s Method
nternational Journal of Pure and Applied Mathematics Volume 117 No. 12 2017, 335-342 SSN: 1311-8080 (printed version); SSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special ssue ijpam.eu A
More informationRow Reduced Echelon Form for Solving Fully Fuzzy System with Unknown Coefficients
Journal of Fuzzy Set Valued Analysis 2014 2014) 1-18 Available online at www.ispacs.com/jfsva Volume 2014, Year 2014 Article ID jfsva-00193, 18 Pages doi:10.5899/2014/jfsva-00193 Research Article Row Reduced
More informationMutuality Measures Corresponding to Subjective Judgment of Similarity and Matching
Mutuality Measures Corresponding to Subjective Judgment of Similarity and Matching Ayumi Yoshikawa Faculty of Education, Okayama University 1-1, Naka 3-chome, Tsushima, Okayama 700-8530, Japan ayumi@sip.ed.okayama-u.ac.jp
More informationComputational Intelligence Lecture 13:Fuzzy Logic
Computational Intelligence Lecture 13:Fuzzy Logic Farzaneh Abdollahi Department of Electrical Engineering Amirkabir University of Technology Fall 2011 arzaneh Abdollahi Computational Intelligence Lecture
More information370 Y. B. Jun generate an LI-ideal by both an LI-ideal and an element. We dene a prime LI-ideal, and give an equivalent condition for a proper LI-idea
J. Korean Math. Soc. 36 (1999), No. 2, pp. 369{380 ON LI-IDEALS AND PRIME LI-IDEALS OF LATTICE IMPLICATION ALGEBRAS Young Bae Jun Abstract. As a continuation of the paper [3], in this paper we investigate
More informationL fuzzy ideals in Γ semiring. M. Murali Krishna Rao, B. Vekateswarlu
Annals of Fuzzy Mathematics and Informatics Volume 10, No. 1, (July 2015), pp. 1 16 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- 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 informationNEUTROSOPHIC CUBIC SETS
New Mathematics and Natural Computation c World Scientific Publishing Company NEUTROSOPHIC CUBIC SETS YOUNG BAE JUN Department of Mathematics Education, Gyeongsang National University Jinju 52828, Korea
More informationGENERAL AGGREGATION OPERATORS ACTING ON FUZZY NUMBERS INDUCED BY ORDINARY AGGREGATION OPERATORS
Novi Sad J. Math. Vol. 33, No. 2, 2003, 67 76 67 GENERAL AGGREGATION OPERATORS ACTING ON FUZZY NUMBERS INDUCED BY ORDINARY AGGREGATION OPERATORS Aleksandar Takači 1 Abstract. Some special general aggregation
More informationKKM-Type Theorems for Best Proximal Points in Normed Linear Space
International Journal of Mathematical Analysis Vol. 12, 2018, no. 12, 603-609 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ijma.2018.81069 KKM-Type Theorems for Best Proximal Points in Normed
More informationSolution 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 informationGeneralized Fuzzy Ideals of BCI-Algebras
BULLETIN of the Malaysian Mathematical Sciences Society http://math.usm.my/bulletin Bull. Malays. Math. Sci. Soc. (2) 32(2) (2009), 119 130 Generalized Fuzzy Ideals of BCI-Algebras 1 Jianming Zhan and
More informationGeometrical study of real hypersurfaces with differentials of structure tensor field in a Nonflat complex space form 1
Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 14, Number 9 (2018), pp. 1251 1257 Research India Publications http://www.ripublication.com/gjpam.htm Geometrical study of real hypersurfaces
More informationType-2 Fuzzy Alpha-cuts
1 Type-2 Fuzzy Alpha-cuts Hussam Hamrawi College of Computer Sciences University of Bahri Khartoum, Sudan Email: hussamw@bahri.edu.sd Simon Coupland Centre for Computational Intelligence De Montfort University
More informationThis condition was introduced by Chandra [1]. Ordonez Cabrera [5] extended the notion of Cesàro uniform integrability
Bull. Korean Math. Soc. 4 (2004), No. 2, pp. 275 282 WEAK LAWS FOR WEIGHTED SUMS OF RANDOM VARIABLES Soo Hak Sung Abstract. Let {a ni, u n i, n } be an array of constants. Let {X ni, u n i, n } be {a ni
More informationON GAP FUNCTIONS OF VARIATIONAL INEQUALITY IN A BANACH SPACE. Sangho Kum and Gue Myung Lee. 1. Introduction
J. Korean Math. Soc. 38 (2001), No. 3, pp. 683 695 ON GAP FUNCTIONS OF VARIATIONAL INEQUALITY IN A BANACH SPACE Sangho Kum and Gue Myung Lee Abstract. In this paper we are concerned with theoretical properties
More informationHuang method for solving fully fuzzy linear system of equations
S.H. Nasseri and F. Zahmatkesh / TJMCS Vol.1 No.1 (2010) 1-5 1 The Journal of Mathematics and Computer Science Available online at http://www.tjmcs.com Journal of Mathematics and Computer Science Vol.1
More informationRanking of pentagonal fuzzy numbers applying incentre of centroids
Volume 7 No. 3 07, 65-74 ISSN: 3-8080 (printed version); ISSN: 34-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Ranking of pentagonal fuzzy numbers applying incentre of centroids P.Selvam, A.Rajkumar
More information600 C. LELE, C. Wu, P. Weke and T. Mamadou, G. Edward NJock (5) (x Λ y) Λ x =0, (6) x Λ (x Λ (x Λ y)) = x Λ y, (7) (x Λ y) Λ z = 0 implies (x Λ z) Λ y
Scientiae Mathematicae Japonicae Online, Vol. 4(2001), 599 612 599 FUZZY IDEALS AND WEAK IDEALS IN BCK-ALGEBRAS C. LELE, C. Wu, P. Weke and T. Mamadou, G. Edward NJock Abstract. In this paper, we use the
More informationApplication of the Fuzzy Weighted Average of Fuzzy Numbers in Decision Making Models
Application of the Fuzzy Weighted Average of Fuzzy Numbers in Decision Making Models Ondřej Pavlačka Department of Mathematical Analysis and Applied Mathematics, Faculty of Science, Palacký University
More informationMi Ryeong Lee and Hye Yeong Yun
Commun. Korean Math. Soc. 28 (213, No. 4, pp. 741 75 http://dx.doi.org/1.4134/ckms.213.28.4.741 ON QUASI-A(n,k CLASS OPERATORS Mi Ryeong Lee and Hye Yeong Yun Abstract. To study the operator inequalities,
More informationLimits and Continuity
Limits and Continuity MATH 151 Calculus for Management J. Robert Buchanan Department of Mathematics Fall 2018 Objectives After this lesson we will be able to: Determine the left-hand and right-hand limits
More informationFuzzy rank functions in the set of all binary systems
DOI 10.1186/s40064-016-3536-z RESEARCH Open Access Fuzzy rank functions in the set of all binary systems Hee Sik Kim 1, J. Neggers 2 and Keum Sook So 3* *Correspondence: ksso@hallym.ac.kr 3 Department
More informationNOTES ON REGULAR AND INVERTIBLE AUTOMATA. 1. Introduction and preliminaries
J. Appl. Math. & Computing Vol. 16(2004), No. 1-2, pp. 551-558 NOTES ON REGULAR AND INVERTIBLE AUTOMATA Chin-Hong Park and Hong-Tae Shim Abstract. We shall discuss some properties of quasi-homomorphisms
More information/ / MET Day 000 NC1^ INRTL MNVR I E E PRE SLEEP K PRE SLEEP R E
05//0 5:26:04 09/6/0 (259) 6 7 8 9 20 2 22 2 09/7 0 02 0 000/00 0 02 0 04 05 06 07 08 09 0 2 ay 000 ^ 0 X Y / / / / ( %/ ) 2 /0 2 ( ) ^ 4 / Y/ 2 4 5 6 7 8 9 2 X ^ X % 2 // 09/7/0 (260) ay 000 02 05//0
More informationarxiv: v1 [math.gn] 22 Sep 2015
arxiv:1509.06688v1 [math.gn] 22 Sep 2015 EQUIVALENCE OF Z 4 -ACTIONS ON HANDLEBODIES OF GENUS g JESSE PRINCE-LUBAWY Abstract. In this paper we consider all orientation-preserving Z 4 - actions on 3-dimensional
More informationMAPPING AND PRESERVER PROPERTIES OF THE PRINCIPAL PIVOT TRANSFORM
MAPPING AND PRESERVER PROPERTIES OF THE PRINCIPAL PIVOT TRANSFORM OLGA SLYUSAREVA AND MICHAEL TSATSOMEROS Abstract. The principal pivot transform (PPT) is a transformation of a matrix A tantamount to exchanging
More informationTRANSITIVE 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 informationSOME GENERALIZATION OF MINTY S LEMMA. Doo-Young Jung
J. Korea Soc. Math. Educ. Ser. B: Pure Appl. Math. 6(1999), no 1. 33 37 SOME GENERALIZATION OF MINTY S LEMMA Doo-Young Jung Abstract. We obtain a generalization of Behera and Panda s result on nonlinear
More informationMi-Hwa Ko. t=1 Z t is true. j=0
Commun. Korean Math. Soc. 21 (2006), No. 4, pp. 779 786 FUNCTIONAL CENTRAL LIMIT THEOREMS FOR MULTIVARIATE LINEAR PROCESSES GENERATED BY DEPENDENT RANDOM VECTORS Mi-Hwa Ko Abstract. Let X t be an m-dimensional
More informationOn 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(, q)-fuzzy Ideals of BG-Algebra
International Journal of Algebra, Vol. 5, 2011, no. 15, 703-708 (, q)-fuzzy Ideals of BG-Algebra D. K. Basnet Department of Mathematics, Assam University, Silchar Assam - 788011, India dkbasnet@rediffmail.com
More informationBangladesh; Bangladesh; Bangladesh
ISSN 0973 8975 SOME FEATURES OF α-r 0 SPACES IN SUPRA FUZZY TOPOLOGY By 1 M. F. Hoque, 2 R. C. Bhowmik, 3 M. R. Kabir, and 4 D. M. Ali 1 Dept. of Mathematics, Pabna Science and Technology University, Pabna,
More informationCoupled -structures and its application in BCK/BCI-algebras
IJST (2013) 37A2: 133-140 Iranian Journal of Science & Technology http://www.shirazu.ac.ir/en Coupled -structures its application in BCK/BCI-algebras Young Bae Jun 1, Sun Shin Ahn 2 * D. R. Prince Williams
More informationIntuitionistic Hesitant Fuzzy Filters in BE-Algebras
Intuitionistic Hesitant Fuzzy Filters in BE-Algebras Hamid Shojaei Department of Mathematics, Payame Noor University, P.O.Box. 19395-3697, Tehran, Iran Email: hshojaei2000@gmail.com Neda shojaei Department
More informationFully fuzzy linear programming with inequality constraints
Available online at http://ijim.srbiau.ac.ir/ Int. J. Industrial Mathematics (ISSN 2008-5621) Vol. 5, No. 4, 2013 Article ID IJIM-00280, 8 pages Research Article Fully fuzzy linear programming with inequality
More informationFuzzy ideals of K-algebras
Annals of University of Craiova, Math. Comp. Sci. Ser. Volume 34, 2007, Pages 11 20 ISSN: 1223-6934 Fuzzy ideals of K-algebras Muhammad Akram and Karamat H. Dar Abstract. The fuzzy setting of an ideal
More informationPrime and Irreducible Ideals in Subtraction Algebras
International Mathematical Forum, 3, 2008, no. 10, 457-462 Prime and Irreducible Ideals in Subtraction Algebras Young Bae Jun Department of Mathematics Education Gyeongsang National University, Chinju
More informationNEW MAXIMUM THEOREMS WITH STRICT QUASI-CONCAVITY. Won Kyu Kim and Ju Han Yoon. 1. Introduction
Bull. Korean Math. Soc. 38 (2001), No. 3, pp. 565 573 NEW MAXIMUM THEOREMS WITH STRICT QUASI-CONCAVITY Won Kyu Kim and Ju Han Yoon Abstract. In this paper, we first prove the strict quasi-concavity of
More informationHILBERT l-class FIELD TOWERS OF. Hwanyup Jung
Korean J. Math. 20 (2012), No. 4, pp. 477 483 http://dx.doi.org/10.11568/kjm.2012.20.4.477 HILBERT l-class FIELD TOWERS OF IMAGINARY l-cyclic FUNCTION FIELDS Hwanyup Jung Abstract. In this paper we study
More informationUncertain Fuzzy Rough Sets. LI Yong-jin 1 2
Uncertain Fuzzy Rough Sets LI Yong-jin 1 2 (1. The Institute of Logic and Cognition, Zhongshan University, Guangzhou 510275, China; 2. Department of Mathematics, Zhongshan University, Guangzhou 510275,
More informationNeutrosophic Linear Equations and Application in Traffic Flow Problems
algorithms Article Neutrosophic Linear Equations and Application in Traffic Flow Problems Jun Ye ID Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing
More informationNeutrosophic Permeable Values and Energetic Subsets with Applications in BCK/BCI-Algebras
mathematics Article Neutrosophic Permeable Values Energetic Subsets with Applications in BCK/BCI-Algebras Young Bae Jun 1, *, Florentin Smarache 2 ID, Seok-Zun Song 3 ID Hashem Bordbar 4 ID 1 Department
More informationFuzzy economic production in inventory model without shortage
Malaya J. Mat. S()(05) 449 45 Fuzzy economic production in inventory model without shortage D. Stephen Dinagar a, and J. Rajesh Kannan b a,b PG and Research Department of Mathematics, T.B.M.L. College,
More informationTHE BOOLEAN IDEMPOTENT MATRICES. Hong Youl Lee and Se Won Park. 1. Introduction
J. Appl. Math. & Computing Vol. 15(2004), No. 1-2. pp. 475-484 THE BOOLEAN IDEMPOTENT MATRICES Hong Youl Lee and Se Won Park Abstract. In general, a matrix A is idempotent if A 2 = A. The idempotent matrices
More informationII. LITERATURE SURVEY
Fuzzy Inventory Model with Shortages under Fully Backlogged Using Signed Distance Method S.K. Indrajitsingha 1, P.N. Samanta, U.K. Misra 3 1 DST INSPIRE Fellow 1, P.G Department of Mathematics, Berhampur
More informationDownloaded from iors.ir at 10: on Saturday May 12th 2018 Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems
Iranian Journal of Operations esearch Vol 1, o 2, 2009, pp68-84 Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems ezam Mahdavi-Amiri 1 Seyed Hadi asseri 2 Alahbakhsh Yazdani
More informationFuzzy 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