A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Optimisation and decision
Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers
Applied Intelligence
Expert Systems with Applications: An International Journal
A causal analytical method for group decision-making under fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
Expert Systems with Applications: An International Journal
A method for group decision-making based on multi-granularity uncertain linguistic information
Expert Systems with Applications: An International Journal
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
Fuzzy Optimization and Decision Making
A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Hi-index | 12.05 |
In this paper, we present a new method to deal with fuzzy multiple attributes group decision-making problems based on ranking interval type-2 fuzzy sets. First, we propose a new method for ranking interval type-2 fuzzy sets. Then, we propose a new method for fuzzy multiple attributes group decision-making based on the proposed ranking method of interval type-2 fuzzy sets. We also use some examples to illustrate the fuzzy multiple attributes group decision-making process of the proposed method. The proposed method is simpler than the methods presented in Chen and Lee (2010a, 2010b) for fuzzy multiple attributes group decision-making based on interval type-2 fuzzy sets. It provides us with a useful way for dealing with fuzzy multiple attributes group decision-making problems based on interval type-2 fuzzy sets.