Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
Multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Improved method of multicriteria fuzzy decision-making based on vague sets
Computer-Aided Design
Expert Systems with Applications: An International Journal
Fuzzy Sets and Systems
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
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
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Hi-index | 12.06 |
An improved accuracy function for vague sets is proposed by taking into account the effect of an unknown degree (hesitancy degree) of the vague values on the degree of suitability to which each alternative satisfies the decision-maker's requirement. The accuracy function is more reasonable than the existing accuracy functions that are not reasonable in some cases. Moreover, the improved decision-making method can improve existing techniques effectively and the process of decision-making needs not to be divided into several steps and needs not adding other rules and choosing parameters when we use the improved decision-making method. The improved method can be used to rank the decision alternative according to the decision criteria. Illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness.