Paper Info
Title
Multi-Attribute Decision-Making Method Based On A Novel Distance Measure Of Linguistic Intuitionistic Fuzzy Sets
Abstract
Linguistic intuitionistic fuzzy sets can qualitatively rather than quantitatively express data in the form of membership degree. But quantitative tools are required to handle qualitative information. Therefore, an improved linguistic scale function, which can more accurately manifest the subjective feelings of decision-makers, is employed to deal with linguistic intuitionistic information. Subsequently, due to some commonly used distance measures do not comprehensively evaluate the information of linguistic intuitionistic fuzzy sets, an improved distance measure of linguistic intuitionistic fuzzy sets is designed. It considers the cross-evaluation information to get more realistic reasoning results. In addition, a newsimilarity measure defined by nonlinear Gaussian diffusion model is proposed, which can provide different response scales for different information between various schemes. The properties of these measures are also studied in detail. On this basis, a method in linguistic intuitionistic fuzzy environment is developed to handle multi-attribute decision-making problems. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method and the influence of the parameters is analyzed.
Year
DOI
Venue
2021
10.3233/JIFS-201429
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Linguistic intuitionistic fuzzy set, linguistic scale function, distance measure, similarity measure, multi-attribute decision-making
Journal
40
Issue
ISSN
Citations 
1
1064-1246
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Yali Cheng131.05
Yonghong Li210.68
Jie Yang310.35