A learning algorithm for level sets weights in weighted level-based averaging method
Fuzzy Optimization and Decision Making, cilt.4, sa.4, ss.279-291, 2005 (Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 4 Sayı: 4
- Basım Tarihi: 2005
- Doi Numarası: 10.1007/s10700-005-3664-3
- Dergi Adı: Fuzzy Optimization and Decision Making
- Derginin Tarandığı İndeksler: Scopus
- Sayfa Sayıları: ss.279-291
- Anahtar Kelimeler: Aggregation strategy, Average representative, Average width, Fuzzy number, WABL method
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
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.