COMPUTING WITH WORDS IN DECISION MAKING THROUGH INDIVIDUAL AND COLLECTIVE LINGUISTIC CHOICE RULES

DOI10.1142/S0218488501001010zbMath1113.68522OpenAlexW2090315494MaRDI QIDQ3427911

Sławomir Zadrożny, Janusz Kacprzyk

Publication date: 27 March 2007

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488501001010

zbMATH Keywords

decision makingfuzzy preferencesaggregation operatorschoice ruleslinguistic preferences

Mathematics Subject Classification ID

Decision theory (91B06) Reasoning under uncertainty in the context of artificial intelligence (68T37) Group preferences (91B10) Individual preferences (91B08)

Related Items (7)

Uncertainty degree and modeling of interval type-2 fuzzy sets: definition, method and application ⋮ Aggregating Imprecise Linguistic Expressions ⋮ AN EXTENDED HIERARCHICAL LINGUISTIC MODEL FOR DECISION-MAKING PROBLEMS ⋮ Allowing agents to be imprecise: a proposal using multiple linguistic terms ⋮ Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the ordered weighted average operators ⋮ Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information ⋮ Optimal consensus models for group decision making under linguistic preference relations

Cites Work

• Aggregation of preferences: The fuzzy case
• A computational approach to fuzzy quantifiers in natural languages
• Some properties of choice functions based on valued binary relations
• Approaches to collective decision making with fuzzy preference relations
• On fuzzy tournaments and their solution concepts in group decision making
• On choosing rationally when preferences are fuzzy
• Direct approach processes in group decision making using linguistic OWA operators
• Choice functions and mechanisms for linguistic preference relations
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• On aggregation operations of linguistic labels
• On antonym and negate in fuzzy logic
• Interpreting linguistically quantified propositions

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