Fuzzy Sets and Systems
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Remarks on the intuitionistic fuzzy sets—III
Fuzzy Sets and Systems
Using possibilistic logic for modeling qualitative decision: ATMS-based algorithms
Fundamenta Informaticae - Special issue on soft computing
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
International Journal of Intelligent Systems
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
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
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
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
Improving generalization of fuzzy IF-THEN rules by maximizing fuzzy entropy
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Generalized point operators for aggregating intuitionistic fuzzy information
International Journal of Intelligent Systems
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
Hesitant fuzzy geometric Bonferroni means
Information Sciences: an International Journal
Rational decision making models with incomplete weight information for production line assessment
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets
Information Sciences: an International Journal
A novel believable rough set approach for supplier selection
Expert Systems with Applications: An International Journal
Integration of semi-fuzzy SVDD and CC-Rule method for supplier selection
Expert Systems with Applications: An International Journal
An ordinal approach to computing with words and the preference-aversion model
Information Sciences: 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
Hi-index | 0.08 |
This paper presents a useful method of relating optimism and pessimism to multiple criteria decision analysis in the context of intuitionistic fuzzy sets based on the unipolar bivariate model. We use eight point operators to estimate the adaptational outcome expectations of optimism and/or pessimism and then determine the net predisposition, the aggregated effect of positive and negative evaluations. A series of new net predispositions for bivariate evaluations are proposed for neutrality; for complete, moderate, and rational optimism; for complete, moderate, and rational pessimism; and for complete and moderate optimism-pessimism. The suitability function, which measures the overall evaluation of each alternative, is then presented. Because positive or negative leniency may exist, such that most of the criteria may be assigned unduly high or low ratings, respectively, we introduce deviation variables to mitigate the effects of such ratings on the apparent importance of various criteria. Based on the two objectives of maximal weighted suitability and minimal deviation values, an integrated programming model is used to compute the optimal weights for the criteria and the corresponding degrees of suitability of the alternative rankings. We establish flexible algorithms that incorporate both objective and subjective information to compute the optimal optimistic and pessimistic decisions. The proposed methods are illustrated and discussed using a numerical example, a multi-criteria supplier selection problem. Finally, an empirical study of job choices is conducted to establish the feasibility and applicability of the current method.