Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
On the relevance of some families of fuzzy sets
Fuzzy Sets and Systems
Aggregation of ordinal information
Fuzzy Optimization and Decision Making
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
Information Sciences: an International Journal
Information Sciences: an International Journal
Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions
Information Sciences: an International Journal
A fuzzy and bipolar approach to preference modeling with application to need and desire
Fuzzy Sets and Systems
Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge
Information Sciences: an International Journal
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Computing with words (CWW) explores the brain's ability to handle and evaluate perceptions through language, i.e., by means of the linguistic representation of information and knowledge. On the other hand, standard preference structures examine decision problems through the decomposition of the preference predicate into the simpler situations of strict preference, indifference and incomparability. Hence, following the distinctive cognitive/neurological features for perceiving positive and negative stimuli in separate regions of the brain, we consider two separate and opposite poles of preference and aversion, and obtain an extended preference structure named the Preference-aversion (P-A) structure. In this way, examining the meaning of words under an ordinal scale and using CWW's methodology, we are able to formulate the P-A model under a simple and purely linguistic approach to decision making, obtaining a solution based on the preference and non-aversion order.