A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

Similar documents
International Journal of Mathematical Archive-3(5), 2012, Available online through ISSN

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming

Algorithms behind the Correlation Setting Window

7.0 Equality Contraints: Lagrange Multipliers

Some Different Perspectives on Linear Least Squares

Solution of General Dual Fuzzy Linear Systems. Using ABS Algorithm

The Necessarily Efficient Point Method for Interval Molp Problems

TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

Global Optimization for Solving Linear Non-Quadratic Optimal Control Problems

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Interval and Fuzzy Multi Objective. Linear Programming Problem. by Necessarily Efficiency Points

Duality Theory for Interval Linear Programming Problems

An Innovative Algorithmic Approach for Solving Profit Maximization Problems

Two Uncertain Programming Models for Inverse Minimum Spanning Tree Problem

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

Parallelized methods for solving polynomial equations

PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION

Functions of Random Variables

A Characterization of Jacobson Radical in Γ-Banach Algebras

Solving the fuzzy shortest path problem on networks by a new algorithm

Extend the Borel-Cantelli Lemma to Sequences of. Non-Independent Random Variables

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen

A Remark on the Uniform Convergence of Some Sequences of Functions

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

D. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1

MULTIOBJECTIVE NONLINEAR FRACTIONAL PROGRAMMING PROBLEMS INVOLVING GENERALIZED d - TYPE-I n -SET FUNCTIONS

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Symmetry of the Solution of Semidefinite Program by Using Primal-Dual Interior-Point Method

On the construction of symmetric nonnegative matrix with prescribed Ritz values

Generalization of the Dissimilarity Measure of Fuzzy Sets

A Mean Deviation Based Method for Intuitionistic Fuzzy Multiple Attribute Decision Making

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

A New Method for Decision Making Based on Soft Matrix Theory

Capacitated Plant Location Problem:

ρ < 1 be five real numbers. The

-Pareto Optimality for Nondifferentiable Multiobjective Programming via Penalty Function

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES

International Journal of Mathematical Archive-5(8), 2014, Available online through ISSN

Analysis of Lagrange Interpolation Formula

Q-analogue of a Linear Transformation Preserving Log-concavity

CHAPTER 4 RADICAL EXPRESSIONS

CS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x

( x) min. Nonlinear optimization problem without constraints NPP: then. Global minimum of the function f(x)

COMPROMISE HYPERSPHERE FOR STOCHASTIC DOMINANCE MODEL

Ideal multigrades with trigonometric coefficients

Correlation of Neutrosophic Sets in Probability Spaces

Arithmetic Mean and Geometric Mean

A New Mathematical Approach for Solving the Equations of Harmonic Elimination PWM

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Analyzing Fuzzy System Reliability Using Vague Set Theory

Solutions to problem set ); (, ) (

L5 Polynomial / Spline Curves

The theoretical background of

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection

Summary of the lecture in Biostatistics

A COMPARATIVE STUDY OF THE METHODS OF SOLVING NON-LINEAR PROGRAMMING PROBLEM

The Study on Direct Adaptive Fuzzy Controllers

Chapter 4 Multiple Random Variables

LINEARLY CONSTRAINED MINIMIZATION BY USING NEWTON S METHOD

Numerical Experiments with the Lagrange Multiplier and Conjugate Gradient Methods (ILMCGM)

Study of Correlation using Bayes Approach under bivariate Distributions

Lecture 3 Probability review (cont d)

1 Lyapunov Stability Theory

PROJECTION PROBLEM FOR REGULAR POLYGONS

Strong Laws of Large Numbers for Fuzzy Set-Valued Random Variables in Gα Space

Compromise Ratio Method for Decision Making under Fuzzy Environment using Fuzzy Distance Measure

Interval extension of Bézier curve

5. Data Compression. Review of Last Lecture. Outline of the Lecture. Course Overview. Basics of Information Theory: Markku Juntti

Point Estimation: definition of estimators

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean

Long blade vibration model for turbine-generator shafts torsional vibration analysis

An Implementation of Integer Programming Techniques in Clustering Algorithm

Multi Objective Fuzzy Inventory Model with. Demand Dependent Unit Cost and Lead Time. Constraints A Karush Kuhn Tucker Conditions.

TWO NEW WEIGHTED MEASURES OF FUZZY ENTROPY AND THEIR PROPERTIES

Stationary states of atoms and molecules

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

Beam Warming Second-Order Upwind Method

A unified matrix representation for degree reduction of Bézier curves

Non-uniform Turán-type problems

The Lie Algebra of Smooth Sections of a T-bundle

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Correlation and Regression Analysis

A New Measure of Probabilistic Entropy. and its Properties

The number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter

Decomposition of Hadamard Matrices

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

CHAPTER VI Statistical Analysis of Experimental Data

Journal of Mathematical Analysis and Applications

Chapter 9 Jordan Block Matrices

ON WEIGHTED INTEGRAL AND DISCRETE OPIAL TYPE INEQUALITIES

Standard Deviation for PDG Mass Data

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Generalized Convex Functions on Fractal Sets and Two Related Inequalities

Lecture Note to Rice Chapter 8

ASYMPTOTIC STABILITY OF TIME VARYING DELAY-DIFFERENCE SYSTEM VIA MATRIX INEQUALITIES AND APPLICATION

Transcription:

ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research Ceter o lgebrac Hyperstructures ad Fuzzy Matheatcs Babolsar Ira bstract Sce ay real-world egeerg systes are too cople to be defed precse ters precso s ofte volved ay egeerg desg process Fuzzy lear prograg probles have a essetal role fuzzy odelg whch ca forulate ucertaty actual evroet Oe of the ost practcable subects recet studes s based o LR fuzzy uber whch was defed ad used by Dubos ad Prade wth soe useful ad easy approato arthetc operators o the We use soe vector coputatos o fuzzy vectors where a fuzzy vector appears as a vector of tragular fuzzy ubers Here our a scope s fdg soe oegatve fuzzy vector whch azes the obectve fucto z c so that b where ad b are a real atr ad a fuzzy vector respectvely ad c s a real vector too Keywords: Fuzzy arthetc Fuzzy lear prograg Fuzzy uber Itroducto Fuzzy set theory has bee appled to ay dscples such as cotrol theory ad aageet sceces atheatcal odelg ad dustral applcatos The cocept of fuzzy lear prograg FLP o geeral level was frst proposed by Taaka et al [6] fterwards ay authors cosdered varous types of the FLP probles ad proposed several approaches for solvg these probles I partcular the ost coveet ethods are based o the cocept of coparso of fuzzy ubers by use of rakg fuctos [5] Usually such

7 S H Nasser ethods authors defe a crsp odel whch s equvalet to the FLP proble ad the use optal soluto of the odel as the optal soluto of the FLP proble I [] by usg a geeral lear rakg fucto we troduced a dual sple algorth for solvg lear prograg proble wth fuzzy varables ad ts dual fuzzy uber lear prograg proble drectly I ths paper we cosder a lear prograg proble wth tragular fuzzy ubers Our a cotrbuto here s the establshet of a ew ethod for solvg the FLP probles wthout usg ay rakg fucto Moreover we llustrate our ethod wth a eaple Prelary I ths secto we revew soe ecessary backgrouds of the fuzzy theory whch wll be used ths paper Below we gve deftos ad otatos take fro [] Fuzzy ubers Defto fuzzy uber s a cove oralzed fuzzy set o the real le R such that: There ests at least oe 0 R wth μ 0 μ s pecewse cotuous Let us assue that the ebershp fucto of ay fuzzy uber s as follows: α < α μ + β β 0 otherwse where s the ea value of ad α ad β are left ad rght spreads respectvely ad t s tered as tragular fuzzy uber We show ay tragular fuzzy uber by α β Let FR be the set of all tragular fuzzy ubers Defto fuzzy uber { μ R } s oegatve f ad

Method for solvg fuzzy lear prograg 75 oly f μ 0 for all < 0 The a tragular fuzzy uber α β s oegatve f 0 α Defto Two tragular fuzzy ubers α β ad B B B B α β are sad to be equal f ad oly f B B B α α adβ β Defto fuzzy uber α β s called syetrc fα β rthetc o tragular fuzzy ubers B B B Let α β ad B α β be two tragular fuzzy ubers the arthetc o the s defed as []: B B B ddto: B + α + α β + β Scalar ultplcato: For ay scalar λ we have λ λα λβ λ λ α β λ λβ λα B B B Subtracto: B α + β β + α f λ 0 f λ 0 Noegatve atr ad oegatve fuzzy vector Defto5 atr s called oegatve ad deoted by 0 f each eleet of be a oegatve uber Defto6 fuzzy vector b b s called oegatve ad deoted by b 0 f each eleet of b be a oegatve fuzzy that s b 0 Fuzzy Lear Syste of Equatos Defto Cosder the where a ] lear syste as: b [ s a oegatve crsp atr ad b b are R oegatve fuzzy vectors ad b F for all s called a fuzzy lear syste wth oegatve tragular ubers Defto We say a oegatve fuzzy vector s the soluto of b

76 S H Nasser where ad b are defed f satsfes syste Now sce F R ad b F R we ay let α β b b b α b β where The we ay rewrte the syste b as: R α β ad b b α β α β α b b b 0 α b β R I other had b ad are two oegatve fuzzy vectors hece by use of Defto ad arthetc o oegatve tragular fuzzy uber t s eough to solve the followg crsp syste: α α β β b b b Note that f we use fro the syetrc tragular fuzzy ubers the last syste β β α α b s ot ecessary to solved because t s equal to syste b Fuzzy Lear Prograg Defto Cosder the followg lear prograg proble: a s t z c b 0 where the coeffcet atr a ] [ ad the vector c c c are a oegatve crsp atr ad vector respectvely ad b b are R oegatve fuzzy vectors such that b F for all s called a fuzzy lear prograg FLP proble Defto We say that a fuzzy vector s a fuzzy feasble soluto of b 0 where ad b are defed f satsfes syste Now sce F R ad b F R we ay let α β b b b α b β where α β R ad b b α b β R The we ay rewrte the syste b as: α β α β b b b 5 I other had b ad are two oegatve fuzzy vectors hece by use of Defto ad arthetc o oegatve tragular fuzzy ubers t s equvalet to the followg crsp syste:

Method for solvg fuzzy lear prograg 77 α α b b β β b α 0 6 Now we defe a operator "a" for a fuzzy lear fucto whch s defed as: z f c c c where c are real ubers ad F R Defto Let T ad T b b be two oegatve fuzzy vectors where ad b b b b F R fuzzy vector azes the lear fucto z f such that b 0 b 7 where ad are oegatve real ubers f ad oly f R azes the below real fucto: c > 0 c< 0 z c + + c + 8 such that b b b 0 0 9 Here we gve a llustrate eaple Eaple ssue that a copay akes two products Product P has a 0$ per ut proft ad product P has a 0$ per ut proft Each ut of product P requres twce as ay labor hours as each product P The total avalable labor hours are soewhat close to 500 hours per day ad ay possbly be chaged due to specal arrageets for overte work The supply of ateral s alost 00 uts of both products P ad P per day but ay possbly be chaged accordg to prevous eperece The proble s how ay uts of products P ad P should be ade per day to aze the total proft? Let

78 S H Nasser ad deote the uber of uts of products P ad P ade oe day respectvely The the proble ca be forulated as the followg lear prograg wth tragular fuzzy varables proble 0 500 00 0 0 a s t z 0 The supply of ateral ad the avalable labor hours are close to 00 ad 500 ad hece are odeled as 0055 ad 50077 respectvely Now the curret fuzzy lear prograg odel ay be wrtte the stadard for as follows: 0 50077 0055 0 0 a s t z where ad are two slack varables Hece the equvalet fuzzy lear prograg proble as follows: 0 50077 0055 0 0 a s t z Sce the fuzzy ubers are syetrc therefore t s eough to solve the followg fuzzy lear prograg proble: + 0 50077 0055 0 0 a s t z Now we ca obta a optal fuzzy soluto for proble 0 by solvg the followg lear prograg:

Method for solvg fuzzy lear prograg 79 a s t z 0 + 0 + + 00 + + 500 + + 5 + + 7 0 0 0 The optal soluto of the above lear prograg s: 00 00 0 0 0 0 Therefore the optal fuzzy soluto of the proble 0 s: * * * * 00 00 000 * 000 ad the optal fuzzy value of the obectve fucto s: z 0 0 0007070 000 * * 5 Cocluso I ths paper we proposed a ew ethod for solvg the FLP probles by solvg the classcal lear prograg probles where we kow how to solve the The sgfcace of ths paper s provdg a ew ethod for solvg the fuzzy lear prograg wthout usg ay rakg fucto Moreover ths paper wll be useful for future works o fuzzy lear prograg ad wll be useful to study o soe fudaetal cocepts of the fuzzy lear prograg ad partcular vestgatg o dualty results ad ore portat o sestvty aalyss Refereces [] L Capos ad JL Verdegay Lear prograg probles ad rakg of fuzzy ubers Fuzzy Sets ad Systes 989 - [] D Dubos ad H Prade Fuzzy Sets ad Systes: theory ad applcatos New York cadec Press 980 [] YJ La ad CL Hwag Fuzzy Matheatcal Prograg Methods ad pplcatos Sprger Berl 99

80 S H Nasser [] N Mahdav-r ad SH Nasser Dualty results ad a dual sple ethod for lear prograg probles wth trapezodal fuzzy varables Fuzzy Sets ad Systes 58 007 96-978 [5] HR Malek M Tata ad M Mashch Lear prograg wth fuzzy varables Fuzzy Sets ad Systes 09 000 - [6] H Taaka T Okuda ad K sa O fuzzy atheatcal prograg The Joural of Cyberetcs 97 7-6 Receved: February 5 008