Separable programming problems with the max-product fuzzy relation equation constraints

In this paper, the separable programming problem subject to Fuzzy Relation Equation (FRE) constraints is studied. It is decomposed to two subproblems with decreasing and increasing objective functions with the same constraints. They are solved by the maximum solution and one of minimal solutions of...

Full description

Saved in:
Bibliographic Details
Published inIranian journal of fuzzy systems (Online) Vol. 16; no. 1; p. 1
Main Authors Hedayatfar, Behnaz, Abbasi Molai, Ali, Aliannezhadi, Samaneh
Format Journal Article
LanguageEnglish
Published Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 2019
Subjects
Online AccessGet full text
ISSN1735-0654
2676-4334
DOI10.22111/ijfs.2019.4480

Cover

Loading…
More Information
Summary:In this paper, the separable programming problem subject to Fuzzy Relation Equation (FRE) constraints is studied. It is decomposed to two subproblems with decreasing and increasing objective functions with the same constraints. They are solved by the maximum solution and one of minimal solutions of its feasible domain, respectively. Their combination produces the original optimal solution. The detection of the optimal solution of the second subproblem by finding all the minimal solutions will be very time-consuming because of its NP-hardness. To overcome such difficulty, two types of sufficient conditions are proposed to find some of its optimal components or all of them. Under the first type sufficient conditions, some procedures are given to simplify the original problem. Also, a value matrix is defined and an algorithm is proposed to compute an initial upper bound on its optimal objective value using the matrix. Then, a branch-and-bound method is extended using the matrix and initial upper bound to solve the simplified problem without finding all the minimal solutions.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1735-0654
2676-4334
DOI:10.22111/ijfs.2019.4480