A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Evaluation of software development projects using a fuzzy multi-criteria decision approach
Mathematics and Computers in Simulation
Fuzzy risk analysis based on interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Analyzing fuzzy risk based on similarity measures between interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Personnel selection based on computing with words and fuzzy MULTIMOORA
Expert Systems with Applications: An International Journal
Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
IEEE Transactions on Fuzzy Systems
Hi-index | 12.05 |
Multi criteria decision making (MCDM) often involves uncertainty which can be tackled by employing the fuzzy set theory. Type-2 fuzzy sets offer certain additional means for the latter purpose. This paper therefore extends the MULTIMOORA method with type-2 fuzzy sets viz. generalized interval-valued trapezoidal fuzzy numbers. The proposed method thus provides the means for multi-criteria decision making related to uncertain assessments. Utilization of aggregation operators also enables to facilitate group multi-criteria decision making. A numerical example of personnel selection demonstrates the possibilities of application of the proposed method in the field of human resource management and performance management in general.