Results 261 to 270 of about 21,642 (274)

A linguistic quantifier-based approach for skyline refinement

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013
Skyline queries are a popular and powerful paradigm for extracting interesting objects from a d-dimensional dataset. They rely on Pareto dominance principle to identify the skyline objects, i.e., the set of incomparable objects which are not dominated by any other object from the dataset. Two main problems may be faced when using skyline queries: (i) a
Katia Abbaci, Allel Hadjali, Ludovic Lietard, Daniel Rocacher   +3 more
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Fuzzy quantifiers: a linguistic technique for data fusion

2001
Fuzzy quantifiers like “few”, “almost all”, “about half” and many others abound in natural language. They are used by humans for describing uncertain facts, quantitative relations and processes. An adequate contradiction-free computer-operational implementation of these quantifiers would provide a class of powerful yet human-understandable operators ...
Alois Knoll, Ingo Glöckner
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Quantifiable Rigid Linguistic Values and Related Theories

2016
This chapter expounds briefly the basic theory of information processing with quantifiable rigid linguistic values, which is parallel or similar to the corresponding theory of information processing with flexible linguistic values. Besides, it introduces the quantifiable rigid linguistic values and their measures, partial possession and possessing rate,
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Outlier detection using linguistically quantified statements

International Journal of Intelligent Systems, 2018
A. Duraj, A. Niewiadomski, P. S. Szczepaniak   +2 more
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Generalized Quantifiers in Linguistics and Logic

1997
Edward L. Keenan, Dag Westerståhl
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Quantifiers, in Linguistics

2001
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Quantifying Linguistic Variation

2019
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English Quantifiers: Jogical Structure and Linguistic Variation

Language, 1979
Dale E. Elliott, Guy Carden
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Quantifying the relationship between digitization and linguistic diversity

Die weltweite Sprachdiversität ist in den vergangenen Jahrzehnten deutlich zurückgegangen. Es ist zu erwarten, dass sich dieser Trend fortsetzt, sofern keine wirksamen Gegenmaßnahmen ergriffen werden. Deshalb ist es umso wichtiger die zugrundeliegenden Faktoren hinter dieser Entwicklung zu identifizieren und zu analysieren.
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ON GROUP DECISION MAKING UNDER LINGUISTIC PREFERENCES AND FUZZY LINGUISTIC QUANTIFIERS

1995
Francisco HERRERA, J. Luis VERDEGAY
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