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Fuzzy constructs
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AI
DOI：10.1016/j.fss.2025.109572.png)
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Abstract
En 中文
In Rough Set Theory, a construct is a subset of attributes with specific properties that make it of interest, for example, in data dimensionality reduction. The aim of this paper is to introduce a new type of construct inspired by Goldman fuzzy reducts. Both the concept of fuzziness in subsets of attributes, introduced by R. S. Goldman in 1980 within Testor Theory, and the construct notion, introduced by R. Susmaga in 2003, have been relatively understudied. In this work, we combine these two notions into a new concept: fuzzy constructs. Several of their characteristics are explored, and a toy example illustrates their potential use in a three-way decision-based classifier.
Keywords:
fuzzy constructs
rough set theory
attribute subsets
dimensionality reduction
three-way decision
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