Fuzzy Sets and Systems
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
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
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Fuzzy entropy on intuitionistic fuzzy sets: Research Articles
International Journal of Intelligent Systems
Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis
Pattern Recognition Letters
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
On the relevance of some families of fuzzy sets
Fuzzy Sets and Systems
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
Pattern Recognition
On similarity measures between intuitionistic fuzzy sets
International Journal of Intelligent Systems
Dynamic intuitionistic fuzzy multi-attribute decision making
International Journal of Approximate Reasoning
Discussion: Some notes on (Atanassov's) intuitionistic fuzzy sets
Fuzzy Sets and Systems
General IF-sets with triangular norms and their applications to group decision making
Information Sciences: an International Journal
Information Sciences: an International Journal
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This paper presents interval-valued fuzzy permutation (IVFP) methods for solving multiattribute decision making problems based on interval-valued fuzzy sets. First, we evaluate alternatives according to the achievement levels of attributes, which admits cardinal or ordinal representation. The relative importance of each attribute can also be measured by interval or scalar data. Next, we identify the concordance, midrange concordance, weak concordance, discordance, midrange discordance and weak discordance sets for each ordering. The proposed method consists of testing each possible ranking of the alternatives against all others. The evaluation value of each permutation can be computed either by cardinal weights or by solving programming problems. Then, we choose the permutation with the maximum evaluation value, and the optimal ranking order of alternatives can be obtained. An experimental analysis of IVFP rankings given cardinal and ordinal evaluations is conducted with discussions on consistency rates, contradiction rates, inversion rates, and average Spearman correlation coefficients.