A learning algorithm for level sets weights in weighted level-based averaging method

NASİBOĞLU E., Baskan O., Mert A.

Fuzzy Optimization and Decision Making, cilt.4, sa.4, ss.279-291, 2005 (Scopus) identifier

  • 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.