User-preferred solutions of fuzzy optimization problems - an application in choosing user-preferred inspection intervals
The paper deals with the problem of fuzzy optimization in presence of flexible constraints that describe user preferences. Fuzzy optimization procedure is used to find a certain reference value. Then, the set of admissible solutions that are in a certain sense indistinguishable from the best attainable reference value is calculated using the known from the theory of possibility concept of the Necessity of Strict Dominance index. Admissible solutions are evaluated and ranked using methods developed for solving the flexible constraint satisfaction problems. The proposed algorithm is applied for solving a practical problem of choosing a user-preferred inspection interval. This problem is often encountered in statistical quality control and reliability testing. (C) 2002 Elsevier Science B.V. All rights reserved.
fuzzy optimality user preferences flexible constraint satisfaction problem optimal inspection