Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
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
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Improved method of multicriteria fuzzy decision-making based on vague sets
Computer-Aided Design
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Multi-criteria fuzzy decision-making method based on cross entropy and score functions
Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Mathematical and Computer Modelling: An International Journal
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Fuzzy classification using the data envelopment analysis
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper analyzes the limitations of existing score functions of intuitionistic fuzzy set. A new score function is defined based on the prospect value function, and examples are given to demonstrate the validity of this score function. As for the interval-valued intuitionistic fuzzy multi-criteria decision-making problems in which criteria weights are fixed, and the criteria values of alternatives are in the form of interval intuitionistic fuzzy numbers, an interval-valued intuitionistic fuzzy multi-criteria decision-making approach is proposed based on the prospect score function. This approach gives a matrix of score function values and a comprehensive evaluation value of each alternative. And the order of alternatives is listed by comparing the projection values of each alternative to the positive ideal solution. Finally, an example shows the feasibility and validity of this approach.