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2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), 2008
Taking as a point of departure our works on linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]) in which an approach based on a calculus of linguistically quantified propositions was proposed, and the essence of the problem was equated with a linguistic quantifier driven ...
Kacprzyk, Janusz, Wilbik, Anna
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Taking as a point of departure our works on linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]) in which an approach based on a calculus of linguistically quantified propositions was proposed, and the essence of the problem was equated with a linguistic quantifier driven ...
Kacprzyk, Janusz, Wilbik, Anna
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Database Queries with Fuzzy Linguistic Quantifiers
IEEE Transactions on Systems, Man, and Cybernetics, 1986Using a fuzzy-logic-based calculus of linguistically quantified propositions, a new database querying system is proposed for handling such imprecise queries as "find all records in which most (almost all, much more than 75 percent, etc.) of the important attributes (out of a specified subset) are as desired (equal to five, greater than ten, around ...
Janusz Kacprzyk, Andrzej Ziolkowski
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GROUP DECISION MAKING WITH FUZZY MAJORITIES REPRESENTED BY LINGUISTIC QUANTIFIERS
1993Fedrizzi, Mario, J. Kacprzyk, H. Nurmi
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International Conference on Health Information Science, 2007
Kacprzyk, Janusz +2 more
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Kacprzyk, Janusz +2 more
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Information Sciences, 2019
In this paper, an importance quantifier-guided Ordered Weighted Averaging (OWA) Operator for linguistic decision judgments is developed. To create a ‘softer’ decision aggregation task, the decision criteria are associated with the degree of importance in
Kuo-Ping Chiao
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In this paper, an importance quantifier-guided Ordered Weighted Averaging (OWA) Operator for linguistic decision judgments is developed. To create a ‘softer’ decision aggregation task, the decision criteria are associated with the degree of importance in
Kuo-Ping Chiao
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Multi-criteria decision making with interval type 2 fuzzy Bonferroni mean
Expert systems with applications, 2021In this paper, the new aggregation models for the interrelated multi-criteria decision making (MCDM) problems based on the quantifier guided ordered weighted averaging (QGOWA) and Bonferroni mean (BM) operator with interval type 2 fuzzy sets (IT2FS) are ...
Kuo-Ping Chiao
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Modeling linguistic probabilities and linguistic quantifiers using interval type-2 fuzzy sets
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013In this paper, we synthesize interval type-2 fuzzy set models of linguistic probability words and linguistic quantifiers by applying the Enhanced Interval Approach to data collected from subjects about those words. We establish some user friendly sub-vocabularies of linguistic probabilities and linguistic modifiers, so that they can be used in advanced
Mohammad Reza Rajati, Jerry M. Mendel
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Fuzziness, OWA and linguistic quantifiers for web selection processes
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011The Internet becomes an enormous source of information containing billions of documents. Users deal with an overwhelming number of alternatives, and continuously make decisions anytime they want to obtain meaningful information. The paper describes an approach for a simple yet effective selection of the most suitable information that fits user's needs.
Ronald R. Yager +2 more
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Antonyms and linguistic quantifiers in fuzzy logic
Fuzzy Sets and Systems, 2001The author deals two important topics: the theory for evaluating linguistic predications and the theory of linguistic quantifiers. Both theories are basic to the development of fuzzy logic in the broader sense, proposed as formalization of natural human reasoning.
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Fuzzy Logic with Linguistic Quantifiers in Group Decision Making
1992We present how fuzzy logic with linguistic quantifiers, mainly its calculi of linguistically quantified propositions, can be used in group decision making. Basically, the fuzzy linguistic quantifiers (exemplified bymost, almost all,...) are employed to represent a fuzzy majority which is in many cases closer to a real human perception of the very ...
Fedrizzi, Mario, J. Kacprzyk, H. Nurmi
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