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Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications

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978-80-7599-515-5 FSTA_2026.pdf (5.09 MB)
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2026
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Ostravská univerzita
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A General Framework for Context-Aware Fuzzification of Four Ordered Categories: A Case Study on BMI Categories
(2026) Alijani, Zahra; Daňková, Martina
This paper presents a general methodological framework for constructing context-aware fuzzy partitions that extend conventional crisp categorizations. The approach is based on Nov´ak’s theory of fuzzy contexts and is implemented using the R package lfl. It enables smooth and interpretable transitions between adjacent classes while preserving the original categorical structure. To illustrate the procedure, we apply it to derive fitness-specific fuzzy partitions of Body Mass Index, where the conventional four categories (underweight, normal weight, overweight, obese) are adapted according to individual levels of cardiorespiratory fitness.
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Fuzzy-Probabilistic Inference Systems Based on Piecewise Linear Weighted Quantiles
(2026) Cao, Nhung; Holčapek, Michal; Valášek, Radek
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On Data-Driven Fuzzy Partition in the Fuzzy-Probabilistic Inference System Framework
(2026) Cao, Nhung; Holčapek, Michal; Valášek, Radek
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Abstract
Sborník z mezinárodní konference FSTA 2026.
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fuzzy systémy, sborníky konferencí, informatika, matematika
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978-80-7599-514-8
978-80-7599-515-5 (online ; pdf)
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10.15452/978-80-7599-515-5.2026
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https://eduo.osu.cz/handle/1/219
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CC BY 4.0
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Ostravská univerzita
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