Fuzzy Sets and Systems
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Using possibilistic logic for modeling qualitative decision: ATMS-based algorithms
Fundamenta Informaticae - Special issue on soft computing
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
Pattern Recognition
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
Bipolarity in human reasoning and affective decision making
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 preference modeling and aggregation in decision support
International Journal of Intelligent Systems
Logical formalisms for representing bipolar preferences
International Journal of Intelligent Systems
Accepting-rejecting propositions from accepted-rejected propositions: A unifying overview
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Bipolarity in bilattice logics
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Modeling positive and negative information in possibility theory
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Case-based learning in a bipolar possibilistic framework
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Bipolar version space learning
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Using arguments for making and explaining decisions
Artificial Intelligence
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
Hi-index | 12.05 |
The frequently used methods of handling optimism and pessimism in multiple criteria decision analysis are Hurwicz's and Yager's approaches. Despite their wide usage, a critical issue has been raised about unidimensionality. Numerous psychological researches and empirical findings have convincingly supported that optimism and pessimism do not represent opposite poles on a single, bipolar dimension, but they are conceived as two partially independent dimensions instead. The focus of this paper is a two-dimensional approach by adequately employing the degrees of membership and non-membership based on Atanassov fuzzy sets. This study develops optimistic and pessimistic estimations with several fuzzy point operators to draw the influences of optimism and pessimism on multicriteria decision making for the sake of a better fit than the unidimensional model. Given a typology from empirical grounds, the appropriate point operators specific to each type are suggested to identify adaptational outcomes. Base upon a series of new score functions, a useful method for multiple criteria decision analysis is provided to efficiently facilitate decision analysis with a multimeasure approach. Feasibility and effectiveness of the proposed methods are illustrated by a practical example.