Fuzzy Sets and Systems
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Similarity measures on intuitionistic fuzzy sets
Pattern Recognition Letters
Pattern recognition using type-II fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
Pattern Recognition
Dynamic intuitionistic fuzzy multi-attribute decision making
International Journal of Approximate Reasoning
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
An evolutionist approach to information bipolarity: Representations and affects in human cognition
International Journal of Intelligent Systems
Two routes for bipolar information processing, and a blind spot in between
International Journal of Intelligent Systems
International Journal of Intelligent Systems
Bipolar version space learning
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Information Sciences: an International Journal
Information Sciences: an International Journal
Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Generalized aggregation operators for intuitionistic fuzzy sets
International Journal of Intelligent Systems
Fuzzy Sets and Systems
A note on similarity measures between vague sets and between elements
Information Sciences: an International Journal
Nets and filters in intuitionistic fuzzy topological spaces
Information Sciences: an International Journal
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Following the unipolar bivariate model, this paper presents a useful method of relating optimism and pessimism to multiple criteria decision analysis within the context of Atanassov fuzzy sets. We utilize four point operators to readily estimate the adaptational outcome expectancies generated by optimistic and pessimistic attitudes. We then determine the net predisposition to represent the aggregated effects of positive and negative evaluations. On the basis of the net predispositions, we calculate the suitability function to evaluate each alternative. Accordingly, we propose the optimization model with suitability functions to deal with ill-known grades of importance. We develop algorithms to aid multicriteria decision-making processes under neutral, completely optimistic, moderately optimistic, completely pessimistic, and moderately pessimistic conditions. Furthermore, we present experimental analysis on randomly generated decision problems to investigate the ranking system's consistency and the ranking irregularity issues found in the proposed methods. We establish several valuable test criteria to discuss some types of ranking consistency and irregularities (e.g., ranking consistency, ranking correlations, ranking contradictions, and ranking inversions) that occur when the different methods are used. We designed three computational experiments to compare the ranking orders yielded by different methods and examined several comparison indices, including the consistency rate of the total orders, the contradiction rate of the best choice, and the inversion rate between the better choices and the worse ones. Finally, we provided a second-order regression model to highlight the effects of variant parameter settings on the average Spearman rank correlation coefficients.