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
Choquet integrals of weighted intuitionistic fuzzy information
Information Sciences: an International Journal
Fuzzy Sets and Systems
Fuzzy decision making with immediate probabilities
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea
Expert Systems with Applications: An International Journal
A new linguistic MCDM method based on multiple-criterion data fusion
Expert Systems with Applications: An International Journal
Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure
Expert Systems with Applications: An International Journal
Combining prospect theory and fuzzy numbers to multi-criteria decision making
Expert Systems with Applications: An International Journal
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
Extended TODIM method for hybrid multiple attribute decision making problems
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Nowadays the process of decision making may be very complex. Many methods to support Multi-Criteria Decision Making (MCDM) have been proposed. Recently, the TODIM (an acronym in Portuguese of Interactive and Multicriteria Decision Making) method, which is based on the prospect theory, has received more attention. In this paper we generalize the Fuzzy-TODIM method to deal with intuitionistic fuzzy information and to be capable to consider underlying random vectors that affects the performance of the alternatives. The method makes use of some Bayesian ideas to provide an overall ranking of the alternatives. This work considers information represented by intuitionistic fuzzy number and intuitionistic fuzzy sets (IFS). Also, a new formula of distance between IFS and a new score function to compare IFS are introduced. Examples are discussed and compared with other works, showing the feasibility of the proposed method.