2010•Unpublished venueRequires access

Research on rough set model based on criteria

Ruixia Yan, Jianguo Zheng, Xiang Wang

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Abstract

Aiming at disposing problems in uncertain decision system, a new rough set model based on decision rule is presented. The model is proposed based on Pawlak rough set, Probabilistic rough set, variable precision rough set and Bayes rough set, and its parameters use golden-section for reference. Then some properties of the model are discussed.

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What this paper is about

Aiming at disposing problems in uncertain decision system, a new rough set model based on decision rule is presented. The model is proposed based on Pawlak rough set, Probabilistic rough set, variable precision rough set and Bayes rough set, and its parameters use golden-section for reference. Then some properties of the model are discussed.

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Available abstract

Aiming at disposing problems in uncertain decision system, a new rough set model based on decision rule is presented. The model is proposed based on Pawlak rough set, Probabilistic rough set, variable precision rough set and Bayes rough set, and its parameters use golden-section for reference. Then some properties of the model are discussed.

Key concepts: Rough set, Dominance-based rough set approach, Probabilistic logic, Set (abstract data type), Data mining, Decision rule, Decision table, Computer science

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