An error-analysis-based method for the priority of an intuitionistic preference relation in decision making

Authors:
Zeshui Xu
Affiliations:
Institute of Sciences, PLA University of Science and Technology, Nanjing 210007, China
Venue:
Knowledge-Based Systems
Year:
2012

Citing 11
Cited 0

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Families of OWA operators

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

Information Sciences: an International Journal
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
GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting

Knowledge-Based Systems
An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect

Knowledge-Based Systems
The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity

Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy operators

Knowledge-Based Systems
Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators

Knowledge-Based Systems
Intuitionistic Fuzzy Aggregation Operators

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Intuitionistic fuzzy preference relation is a suitable tool used to describe uncertain or vague preference information provided by a decision maker in fuzzy decision making situations. A key step in decision making with an intuitionistic preference relation is to derive the priority vector of the intuitionistic preference relation. In this paper, we develop an error-analysis-based method for the priority of an intuitionistic preference relation, and then a possibility degree formula is used to derive the ranking of the considered alternatives. Moreover, a numerical analysis on the developed method is conducted through an illustrative example.