Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
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
Entropy for intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Distance measure between intuitionistic fuzzy sets
Pattern Recognition Letters
Fuzzy entropy on intuitionistic fuzzy sets: Research Articles
International Journal of Intelligent Systems
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
Information Sciences: an International Journal
Information Sciences: an International Journal
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Fractional programming methodology for multi-attribute group decision-making using IFS
Applied Soft Computing
Information Sciences: an International Journal
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
Reasoning within intuitionistic fuzzy rough description logics
Information Sciences: an International Journal
Fuzzy Sets and Systems
Relationship between similarity measure and entropy of interval valued fuzzy sets
Fuzzy Sets and Systems
Information Sciences: an International Journal
Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications
Information Sciences: an International Journal
An outranking method for multi-criteria decision making with duplex linguistic information
Fuzzy Sets and Systems
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Reversed version of a generalized sharp Hölder's inequality and its applications
Information Sciences: an International Journal
Rational decision making models with incomplete weight information for production line assessment
Information Sciences: an International Journal
Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Approaches to hesitant fuzzy multiple attribute decision making with incomplete weight information
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hesitant triangular fuzzy information aggregation in multiple attribute decision making
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we propose a new objective weighting method that employs intuitionistic fuzzy (IF) entropy measures to solve multiple-attribute decision-making problems in the context of intuitionistic fuzzy sets. Instead of traditional fuzzy entropy, which uses the probabilistic discrimination of attributes to obtain attribute weights, we utilize the IF entropy to assess objective weights based on the credibility of the input data. We examine various measures for IF entropy with respect to hesitation degree, probability, non-probability, and geometry to calculate the attribute weights. A comparative analysis of different measures to generate attribute rankings is illustrated with both computational experiments as well as analyses of Pearson correlations, Spearman rank correlations, contradiction rates, inversion rates, and consistency rates. The experimental results indicate that ranking the outcomes of attributes not only depends on the type of IF entropy measures but is also affected by the number of attributes and the number of alternatives.