A learning algorithm for level sets weights in weighted level-based averaging method
Fuzzy Optimization and Decision Making, vol.4, no.4, pp.279-291, 2005 (Scopus)
- Publication Type: Article / Article
- Volume: 4 Issue: 4
- Publication Date: 2005
- Doi Number: 10.1007/s10700-005-3664-3
- Journal Name: Fuzzy Optimization and Decision Making
- Journal Indexes: Scopus
- Page Numbers: pp.279-291
- Keywords: Aggregation strategy, Average representative, Average width, Fuzzy number, WABL method
- Dokuz Eylül University Affiliated: Yes
Abstract
The method which we call the Weighted Averaging Based on Levels (WABL) can be used to calculate the average representative of a fuzzy number. It utilizes weight coefficients for the level sets as well as the sides of a fuzzy number. We have developed an algorithm to obtain these coefficients. The most remarkable feature of this algorithm is that it makes use of the decision maker's (DM) aggregation strategy. © 2005 Springer Science+Business Media, Inc.