Results 241 to 250 of about 21,642 (274)

Fuzzy object dependencies and linguistic quantifier

2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2016
This paper presents the issues related to the fuzzy object dependencies on the object class. Based on semantic neighborhood of hedge algebras, paper presents definitions about fuzzy dependencies between attributes and between attribute with method in object class, and the properties of fuzzy dependencies in research is correct and complete on the set ...
Doan Van Thang, Truong Quang Manh, Nguyen Van Han   +2 more
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Database Queries with Fuzzy Linguistic Quantifiers

IEEE Transactions on Systems, Man, and Cybernetics, 1986
Using 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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Interpreting linguistically quantified propositions

International Journal of Intelligent Systems, 1994
Summary: We discuss the idea of a linguistic quantifier and fuzzy set representations of these objects. We describe two formalisms for evaluating the truth of linguistically quantified propositions such as Most winter days are cold. The first approach is based upon a probabilistic interpretation and the second is based upon a logical interpretation ...
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Linguistic quantifiers modeled by interval-valuedintuitionistic Sugeno integrals

Journal of Intelligent & Fuzzy Systems, 2015
Abstract Ying’s model of linguistic quantifiers based on Sugeno integral is generalized to interval-valued intuitionistic Sugeno integral, the truth value of a quantified proposition is evaluated by using interval-valued intuitionistic Sugeno integral.
Zhang, Xiaohong, Zheng, Yue
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A Characterization of the Linguistic Quantifier Self

Research on Language and Computation, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Quantified propositions in a linguistic logic

International Journal of Man-Machine Studies, 1983
Abstract We introduce two methodologies for interpreting quantifiers in binary logic. We then extend these interpretations to the case where the quantifiers are linguistic. We use the formalism of fuzzy subset theory to provide a framework in which to interpret linguistic quantifiers.
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Quantifying linguistic changes

2009
There are reasons for assuming that different types of communities provide different social conditions for linguistic changes with consequences at least for the speed and for the type of grammatical changes. In order to explore this question, we need both a typology of communities and a model for measuring the extent of linguistic change.
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Quantifier spreading: linguistic and pragmatic considerations

Lingua, 2001
This paper investigates the idiosyncratic understanding of universal quantifiers such as every, each, or all by English and Korean speaking children, and argues that the phenomenon of ‘quantifier spreading’ is explicable in terms of the maturation of both the cognitive system and the linguistic system.
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Linguistically quantified propositions for consensus reaching support

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005
Consensus reaching has been widely recognized as an important decision making process. An effective support of this process requires a practical, operational definition of the very concept of consensus. As it is inherently imprecise, it cannot be adequately defined using the classical binary logic.
J. Kacprzyk, S. Zadrozny
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Quantifier Selection for Linguistic Data Summarization

2006 IEEE International Conference on Fuzzy Systems, 2006
Fuzzy quantifiers like "about sixty percent" are useful tools for expressing linguistic summaries. But, how can we determine the quantifier which best describes the given data? The quality indicators proposed for quantifier selection still make a rather heuristic impression.
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