Paper Info
Title
Group decision making based on hesitant fuzzy ranking of hesitant fuzzy preference relations.
Abstract
Hesitant fuzzy sets (HFSs) play a dominant role in the decision making process. Different tools are developed to attract the decision makers (DMs) in making the effective decision, the hesitant fuzzy preference relation (HFPR) is one of the important implementation of them. Preference of an alternative over another alternative is a useful way to express the opinion of decision maker. In this paper, a hesitant fuzzy ranking (HFR) technique is established, constructed the hesitant fuzzy ranking from the HFPR in the group decision making situations. Secondly, a correlation between the alternatives is developed by using Spearman ranked correlation coefficient formula, which helps the DMs to identify the better alternative. The novelty of the proposed strategy is that it evades the need to compute the cooperative preference relations and approvals are generated for the individuals in their original domains.
Year
DOI
Venue
2019
10.3233/JIFS-182780
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Hesitant fuzzy sets,Fuzzy preference relations,Hesitant fuzzy preference relation,Fuzzy rankings,Group decision making
Fuzzy logic,Artificial intelligence,Fuzzy ranking,Machine learning,Mathematics,Group decision-making
Journal
Volume
Issue
ISSN
37
2.0
1064-1246
Citations 
PageRank 
References 
1
0.35
0
Authors
3
Name
Order
Citations
PageRank
M. Sarwar Sindhu110.35
Tabasam Rashid225519.40
Madad Khan3135.32