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To analyze user-oriented attribute importance, we utilize three-way decision theory as our basic framework. Three models, namely, the Trisecting-Acting-Outcome (TAO) model, the three-level computing model, and the evaluation based model, are used to analyze attribute importance.
Jul 7, 2020
Ranking and measuring attribute importance is one of the key research topics in data mining and machine learning. Most of the existing attribute importance ...
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This paper proposes a novel three-way utility decision model oriented to attribute fuzzy concept in multi-attribute environments.
Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory. ; foaf:homepage, <https://doi.org/10.1007/978-3-030-52705-1_9> ; dc:identifier ...
For the purpose of analyzing attribute importance based on user preference, three-way decision is introduced as a framework in this thesis.
Jul 1, 2024 · The 3WD framework offers an additional region for delayed decisions, allowing decision-makers to carefully analyze and consider alternatives ...
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Jul 17, 2022 · The decision-theoretic rough set model uses two states and three actions to describe the decision-making process.
Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory. Rough Sets. Abstract. Ranking and measuring attribute importance is one of the ...
Article ; Online: Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory ... We adopt the three-way decision theory as a framework ...
Discover a comprehensive decision-making model for uncertain situations. Our multiple attribute model considers attribute reduction, importance, ...