On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)
Linguistic quantifiers based on Choquet integrals
International Journal of Approximate Reasoning
Linguistic quantifiers modeled by Sugeno integrals
Artificial Intelligence
An approach to general quantification using representation by levels
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
On a non-nested level-based representation of fuzziness
Fuzzy Sets and Systems
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We introduce a model for the evaluation of fuzzy quantified expressions involving imprecise concepts. Imprecise concepts are assumed to be represented via restriction levels, a recently introduced representation of imprecision that extends the representation of fuzzy sets and introduces new operators. The proposal verifies all the properties required for the evaluation of quantified sentences, including all the properties involving negation. Particularly, the evaluation of "Some of A are ¬A" is definitely 0 for any fuzzy set A.