Fuzzy Least Squares Regression Model Based of Weighted Distance between Fuzzy Numbers
AUTOMATIC CONTROL AND COMPUTER SCIENCES, cilt.41, sa.1, ss.10-17, 2007 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 41 Sayı: 1
- Basım Tarihi: 2007
- Doi Numarası: 10.3103/s0146411607010026
- Dergi Adı: AUTOMATIC CONTROL AND COMPUTER SCIENCES
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
- Sayfa Sayıları: ss.10-17
- Anahtar Kelimeler: WABL, fuzzy number, fuzzy distance, fuzzy regression
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
A new distance ND1 between fuzzy numbers based on an averaged representative of a fuzzy number (Weighting Average Based on Levels, WABL) is proposed. Based on this distance a new least squares regression model is proposed. The proposed model is studied for a broad class of fuzzy numbers and class of functions the membership of which is formed on the basis of the template mu([.])(x) = max(0.1 - vertical bar x vertical bar(s)).