Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
International Journal of Intelligent Systems
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
A fuzzy closeness approach to fuzzy multi-attribute decision making
Fuzzy Optimization and Decision Making
Dynamic intuitionistic fuzzy multi-attribute decision making
International Journal of Approximate Reasoning
The interval-valued fuzzy TOPSIS method and experimental analysis
Fuzzy Sets and Systems
International Journal of Intelligent Systems
Dynamic multi-attribute decision making model with grey number evaluations
Expert Systems with Applications: An International Journal
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
Expert Systems with Applications: An International Journal
Linear programming method for MADM with interval-valued intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Extension principles for interval-valued intuitionistic fuzzy sets and algebraic operations
Fuzzy Optimization and Decision Making
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The GOWA operator based approach to multiattribute decision making using intuitionistic fuzzy sets
Mathematical and Computer Modelling: An International Journal
Hierarchical multi-criteria risk-benefit analysis in fuzzy environment
Applied Soft Computing
A direct interval extension of TOPSIS method
Expert Systems with Applications: An International Journal
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The purpose of this paper is to present a new TOPSIS (the technique for order preference by similarity to ideal solution) for estimating the importance of criteria and reducing the leniency bias in multiple-criteria decision analysis based on interval-valued fuzzy sets. Several types of net predispositions are defined to represent an aggregated effect of interval-valued evaluations. The relative closeness of each alternative to the ideal solution is then determined by net predispositions. Because positive or negative leniency may exist when most criteria are assigned unduly high or low ratings, respectively, some deviation variables are introduced to mitigate the effects of overestimated and underestimated ratings on criterion importance. Considering the two objectives of maximal closeness coefficient and minimal deviation values, an integrated programming model is proposed to compute optimal weights for the criteria and corresponding closeness coefficients for alternative rankings. A flexible algorithm using interval-valued fuzzy TOPSIS methods is established by considering both objective and subjective information to compute optimal multiple-criteria decisions. The feasibility and effectiveness of the proposed methods are illustrated by a numerical example. Finally, an experimental analysis of interval-valued fuzzy rankings given different conditions for the criterion weights is conducted with discussions on average Spearman correlation coefficients and contradiction rates.