Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Sets and Systems - Special issue: Soft decision analysis
International Journal of Intelligent Systems
Using trapezoids for representing granular objects: Applications to learning and OWA aggregation
Information Sciences: an International Journal
Least-square method to priority of the fuzzy preference relations with incomplete information
International Journal of Approximate Reasoning
On the dispersion measure of OWA operators
Information Sciences: an International Journal
Acceptable consistency analysis of interval reciprocal comparison matrices
Fuzzy Sets and Systems
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
A linguistic evaluation approach for universal design
Information Sciences: an International Journal
Properties of Atanassov's intuitionistic fuzzy relations and Atanassov's operators
Information Sciences: an International Journal
Ordering based decision making - A survey
Information Fusion
Some models for generating and ranking multiplicative weights
Computers and Industrial Engineering
Information Sciences: an International Journal
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In analyzing a multiple criteria decision-making problem, the decision maker may express her/his opinions as an interval fuzzy or multiplicative preference relation. Then it is an interesting and important issue to investigate the consistency of the preference relations and obtain the reliable priority weights. In this paper, a new consistent interval fuzzy preference relation is defined, and the corresponding properties are derived. The transformation formulae between interval fuzzy and multiplicative preference relations are further given, which show that two preference relations, consistent interval fuzzy and multiplicative preference relations, can be transformed into each other. Based on the transformation formula, the definition of acceptably consistent interval fuzzy preference relation is given. Furthermore a new algorithm for obtaining the priority weights from consistent or inconsistent interval fuzzy preference relations is presented. Finally, three numerical examples are carried out to compare the results using the proposed method with those using other existing procedures. The numerical results show that the given procedure is feasible, effective and not requisite to solve any mathematical programing.