A Multicriteria Supplier Selection Model Using Hesitant Fuzzy Linguistic Term Sets

Kahraman C., Oztaysi B., Onar S. C.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.26, ss.315-333, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26
  • Basım Tarihi: 2016
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.315-333
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Hesitant fuzzy sets have been developed to handle the situations where a set of values are possible in the definition process of the membership of an element. Hesitant fuzzy linguistic term sets provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms. In this paper, we propose a hierarchical multicriteria method based on hesitant fuzzy linguistic term sets and apply it to a supplier selection problem.