A comparison between intuitionistic and hesitant fuzzy applied to supplier selection group decision-making problems
by Lucas Daniel Del Rosso Calache; Nadya Regina Galo; Luiz Cesar Ribeiro Carpinetti
International Journal of Applied Decision Sciences (IJADS), Vol. 14, No. 3, 2021

Abstract: Supplier selection and evaluation is approached in the literature as a multi-criteria decision problem in which usually more than one decision-maker has to judge the importance of criteria and the performance of suppliers. Fuzzy techniques are commonly applied to deal with the uncertainty in the evaluation process. Intuitionistic and hesitant fuzzy representations have been applied to group decision problems. However, none of the studies in the literature presents a comparison of these two fuzzy representations when applied to multi-criteria group decision-making (MCGDM) problems. Thus, this paper presents the results of a comparative study of the intuitionist fuzzy and the hesitant fuzzy representations applied to supplier selection problem. The techniques were implemented and tested in a pilot application to a textile manufacturing company. The comparison was based on congruency of results, adequacy to group decision, data collection effort and flexibility of judgement, computational complexity and modelling of uncertainty.

Online publication date: Wed, 12-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Applied Decision Sciences (IJADS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com