Results 201 to 210 of about 39,997 (249)
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Journal of Intelligent & Fuzzy Systems, 2014
Based on first-order fuzzy logic system $\mathbf{K}^{*}$ and Ying's framework for linguistic quantifiers modeled by Sugeno integrals, a many-sorted first-order logic system $\mathbf{IMTL_{Q}^{*}}$ is constructed. Applying the triple I method, some fuzzy reasoning forms with linguistic quantifiers are investigated.
Zhang, Xiaohong, Zeng, Xu
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Based on first-order fuzzy logic system $\mathbf{K}^{*}$ and Ying's framework for linguistic quantifiers modeled by Sugeno integrals, a many-sorted first-order logic system $\mathbf{IMTL_{Q}^{*}}$ is constructed. Applying the triple I method, some fuzzy reasoning forms with linguistic quantifiers are investigated.
Zhang, Xiaohong, Zeng, Xu
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Decision Support Systems, 1988
Abstract We present an interactive user-friendly microcomputer-based decision support system for consensus reaching processes. The point of departure is a group of individuals (experts, decision makers,…) who present their testimonies (opinions) in the form of individual fuzzy preference relations.
Fedrizzi, Mario +2 more
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Abstract We present an interactive user-friendly microcomputer-based decision support system for consensus reaching processes. The point of departure is a group of individuals (experts, decision makers,…) who present their testimonies (opinions) in the form of individual fuzzy preference relations.
Fedrizzi, Mario +2 more
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Fuzzy Queries with Linguistic Quantifiers for Information Retrieval from Data Bases
1986Abstract : This system is an extension of Prolog toward semantic unification for processing vague queries on a relational data base containing imprecise or uncertain informations. Representation of imprecise and uncertain knowledge is based on fuzzy sets and possibility and necessity measures. A treatment of fuzzy linguistic quantifiers is presented.
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Arabian Journal of Geosciences, 2018
R. Ghasemi, B. Tokhmechi, G. Borg
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R. Ghasemi, B. Tokhmechi, G. Borg
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A linguistic quantifier-based approach for skyline refinement
Joint IFSA World Congress and NAFIPS Annual Meeting, 2013K. Abbaci +3 more
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2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017
Kuo-Ping Chiao
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Kuo-Ping Chiao
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Evaluating software project similarity by using linguistic quantifier guided aggregations
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001A. Idri, A. Abran
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1988
Publisher Summary This chapter presents two fuzzy logic-based calculi of linguistically quantified propositions. These logics are concerned with the calculation of the truth of the linguistically quantified propositions generally written as “QY's are F” and “QBY's are F”, where Q is a linguistic quantifier, B is importance, Y is a set of objects, and
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Publisher Summary This chapter presents two fuzzy logic-based calculi of linguistically quantified propositions. These logics are concerned with the calculation of the truth of the linguistically quantified propositions generally written as “QY's are F” and “QBY's are F”, where Q is a linguistic quantifier, B is importance, Y is a set of objects, and
openaire +1 more source

