A MULTICRITERIA SUPPLIER SELECTION MODEL USING HESITANT FUZZY LINGUISTIC TERM SETS


Kaiiraman C., Öztayşi B., Çevik Onar S.

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Joao Pessoa, Brazil, 17 - 20 August 2014, vol.9, pp.36-41 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9
  • City: Joao Pessoa
  • Country: Brazil
  • Page Numbers: pp.36-41
  • Istanbul Technical University Affiliated: Yes

Abstract

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 multicriteria method based on hesitant fuzzy linguistic term sets and apply it to a supplier selection problem.