Paper Info
Title
An outranking method for multi-criteria group decision making using hesitant intuitionistic fuzzy linguistic term sets.
Abstract
This article proposes an outranking method for group decision-making (GDM) using hesitant intuitionistic fuzzy linguistic term sets (HIFLTSs). By means of HIFLTSs, the flexibility in generating evaluation information under uncertainty can be achieved to a larger extent than intuitionistic fuzzy sets (IFSs) or hesitant fuzzy linguistic term sets (HFLSs). Based on intuitionistic fuzzy support function (IFSF), intuitionistic fuzzy risk function (IFRF) and intuitionistic fuzzy credibility function (IFCF), the net outranking flow index (NOFI) of each alternative are calculated which represents the net outranking character of an alternative over the other. The linguistic scale functions (LSFs) are employed in this paper to conduct the transformation between qualitative information and quantitative data. Finally, an outranking approach is constructed for ranking alternatives in multi-criteria group decision-making (MCGDM) problems, and the approach is demonstrated using a numerical example.
Year
DOI
Venue
2017
10.3233/JIFS-161976
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Linguistic decision-making,hesitant fuzzy linguistic term sets (HFLTSs),hesitant intuitionistic fuzzy linguistic term sets (HIFLTSs),linguistic scale function(LSF),multi-criteria decision-making (MCDM),outranking approach
Fuzzy logic,Artificial intelligence,Mathematics,Machine learning,Group decision-making
Journal
Volume
Issue
ISSN
32
3
1064-1246
Citations 
PageRank 
References 
7
0.41
31
Authors
3
Name
Order
Citations
PageRank
Shahzad Faizi170.41
Tabasam Rashid225519.40
Sohail Zafar381.77