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- W2023532679 abstract "This paper is an improved and extended version of our previous work2 on typicality in terms of Atanassov's intuitionistic fuzzy sets (to be called A-IFSs, for short)3. We follow the line of reasoning known from psychological and cognitive sciences, in particular from linguistic experiments, and verify how those results work in the case of classification – a typical problem in computer science, decision sciences, etc. Our considerations concentrate on a typical example discussed in cognitive sciences – we investigate to which extent a linguistic representation in a psychological space (we start from nominal data – names are assigned to objects as labels) succeeds in predicting categories via A-IFSs. First, we consider a model of categories with a geometrical centroid model in which the similarity is defined in terms of a distance to centroids. Next, we verify if the extreme ideals, which are important in cognitive processes when categories are learnt in the presence of the alternative (contrast) category, ..." @default.
- W2023532679 created "2016-06-24" @default.
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- W2023532679 date "2010-07-01" @default.
- W2023532679 modified "2023-10-17" @default.
- W2023532679 title "Dealing with typical values via Atanassov's intuitionistic fuzzy sets" @default.
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- W2023532679 doi "https://doi.org/10.1080/03081079.2010.484268" @default.
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