Paper Info
Title
Hesitant Fuzzy Best-Worst Multi-Criteria Decision-Making Method And Its Applications
Abstract
Best-worst method (BWM) is extended to uncertain situations, hesitant fuzzy best-worst method (HFBWM) is proposed by using hesitant fuzzy multiplicative preference relation for multiple-criteria group decision-making problems. The reference comparison of the best criterion and the worst criterion are described by the linguistic terms, which are expressed in hesitant fuzzy elements, of the decision makers. Weights of criteria are calculated by using score function. Using the concept of BWM, nonlinearly constrained optimization problems are formed to obtain hesitant fuzzy weights (HFWs) of different criteria and alternatives. To check the reliability of the HFBWM, consistency ratio is proposed. The advantage and suitability of the proposed HFBWM are determined by three case studies. The results indicate that the HFBWM, due to higher comparison consistency as compared to BWM, obtain plausible preference ranking for alternatives.
Year
DOI
Venue
2019
10.1002/int.22131
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
DocType
Volume
consistency ratio, hesitant fuzzy best-worst method, hesitant fuzzy reference comparison (HFRC), hesitant fuzzy sets (HFS), multiple-criteria decision-making
Journal
34
Issue
ISSN
Citations 
8
0884-8173
3
PageRank 
References 
Authors
0.38
0
2
Name
Order
Citations
PageRank
Asif Ali141.40
Tabasam Rashid225519.40