A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making

Authors:
Xiumei Zhang;Zeshui Xu
Affiliations:
Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China 210007;Institute of Sciences, PLA University of Science and Technology, Nanjing, China 211101
Venue:
Fuzzy Optimization and Decision Making
Year:
2012

Citing 7
Cited 0

Handling multicriteria fuzzy decision-making problems based on vague set theory

Fuzzy Sets and Systems
Multicriteria fuzzy decision-making problems based on vague set theory

Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets

Fuzzy Sets and Systems
Intuitionistic preference relations and their application in group decision making

Information Sciences: an International Journal
Dynamic intuitionistic fuzzy multi-attribute decision making

International Journal of Approximate Reasoning
Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group

Fuzzy Optimization and Decision Making
Intuitionistic fuzzy sets

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new method for ranking intuitionistic fuzzy values (IFVs) by using the similarity measure and the accuracy degree of IFVs. Then we apply the proposed ranking method to multi-attribute decision making.