Concave properties play a dominate role in solving both classic and fuzzy optimization problems. However, since fuzzy problems are generally represented by sets, not crisp numbers, various aggregation schemes are needed to manipulate and to combine the different elements in a fuzzy optimization prob
Compensatory fuzzy multiple level decision making
โ Scribed by Hsu-Shih Shih; E.Stanley Lee
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 147 KB
- Volume
- 114
- Category
- Article
- ISSN
- 0165-0114
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โฆ Synopsis
Fuzzy set theory has been shown to be an e ective tool to overcome the computational di culties encountered in solving large multiple level programming problems (Shih et al., 1996). In this paper, compensatory operators are introduced for adjusting the decision making process between the di erent levels and also between the decision makers of the same level. After a brief consideration of the bi-level and three level systems, the large decentralized organizations with both equal and unequal goals are investigated. Various numerical examples are given to compare the in uences of compensation and to illustrate the approaches.
๐ SIMILAR VOLUMES
The basic operations of fuzzy sets, such as negation, intersection, and union, usually are computed by applying the one-complement, minimum, and maximum operators to the membership functions of fuzzy sets. However, different decision agents may have different perceptions for these fuzzy operations.