J7Q7Ihi1MN8hiTPSjaKV0qFC9bddURiXGRd15kRO5bkizBX7h7i4QsLGPClc
Current position: Home >> Scientific Research >> Paper Publications

An algorithm for solving optimization problems with fuzzy relational inequality constraints

Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2013-12-10

Journal: INFORMATION SCIENCES

Included Journals: Scopus、EI、SCIE

Volume: 252

Page Number: 20-31

ISSN: 0020-0255

Key Words: Linear programming; Fuzzy relational inequality; Fuzzy relational equation; Max-min composition

Abstract: An algorithm for solving a kind of optimization problems with fuzzy relational inequalities was proposed by Gun and Xia [6]. However, it is too expensive to verify the optimal condition. In this paper, some rules for reducing these problems are proposed and the relationship between minimal solutions and FRI paths is also given. These lead to a new algorithm for solving this kind of problems. Numerical experiments are presented for illustrating the efficiency of the proposed algorithm. (c) 2011 Elsevier Inc. All rights reserved.

Prev One:“工科数学”课程中计算机辅助教学的立体资源库建设

Next One:Stochastic methods based on Newton method to the stochastic variational inequality problem with constraint conditions