Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming

In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality. In this paper, an FFLP problem with fuzzy equality constraints is discussed, and a m...

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Main Authors: Haifang Cheng, Weilai Huang, Jianhu Cai
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/726296
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author Haifang Cheng
Weilai Huang
Jianhu Cai
author_facet Haifang Cheng
Weilai Huang
Jianhu Cai
author_sort Haifang Cheng
collection DOAJ
description In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality. In this paper, an FFLP problem with fuzzy equality constraints is discussed, and a method for solving this FFLP problem is also proposed. We first transform the fuzzy equality constraints into the crisp inequality ones using the measure of the similarity, which is interpreted as the feasibility degree of constrains, and then transform the fuzzy objective into two crisp objectives by considering expected value and uncertainty of fuzzy objective. Since the feasibility degree of constrains is in conflict with the optimal value of objective function, we finally construct an auxiliary three-objective linear programming problem, which is solved through a compromise programming approach, to solve the initial FFLP problem. To illustrate the proposed method, two numerical examples are solved.
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issn 1110-757X
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publishDate 2013-01-01
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series Journal of Applied Mathematics
spelling doaj-art-e82f4b18fbe040308037383fbfd1347d2025-02-03T07:24:46ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/726296726296Solving a Fully Fuzzy Linear Programming Problem through Compromise ProgrammingHaifang Cheng0Weilai Huang1Jianhu Cai2School of Management, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Management, Huazhong University of Science and Technology, Wuhan 430074, ChinaCollege of Economics and Management, Zhejiang University of Technology, Hangzhou 310023, ChinaIn the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality. In this paper, an FFLP problem with fuzzy equality constraints is discussed, and a method for solving this FFLP problem is also proposed. We first transform the fuzzy equality constraints into the crisp inequality ones using the measure of the similarity, which is interpreted as the feasibility degree of constrains, and then transform the fuzzy objective into two crisp objectives by considering expected value and uncertainty of fuzzy objective. Since the feasibility degree of constrains is in conflict with the optimal value of objective function, we finally construct an auxiliary three-objective linear programming problem, which is solved through a compromise programming approach, to solve the initial FFLP problem. To illustrate the proposed method, two numerical examples are solved.http://dx.doi.org/10.1155/2013/726296
spellingShingle Haifang Cheng
Weilai Huang
Jianhu Cai
Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
Journal of Applied Mathematics
title Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
title_full Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
title_fullStr Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
title_full_unstemmed Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
title_short Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
title_sort solving a fully fuzzy linear programming problem through compromise programming
url http://dx.doi.org/10.1155/2013/726296
work_keys_str_mv AT haifangcheng solvingafullyfuzzylinearprogrammingproblemthroughcompromiseprogramming
AT weilaihuang solvingafullyfuzzylinearprogrammingproblemthroughcompromiseprogramming
AT jianhucai solvingafullyfuzzylinearprogrammingproblemthroughcompromiseprogramming