| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 393084 | Information Sciences | 2013 | 12 Pages |
Abstract
An algorithm for solving a kind of optimization problems with fuzzy relational inequalities was proposed by Guo 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fang-Fang Guo, Li-Ping Pang, Dan Meng, Zun-Quan Xia,