Aug 18, 2020 · Then, A hash-information-system-based method is proposed for the calculation of rough-set approximations. Finally, This study offers an example ...
[PDF] A Hash Method for Calculating Rough Set Approximations - OpenReview
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Then, A hash-information-system-based method is proposed for the calculation of rough-set approximations. Finally,. This study offers an example for ...
The concept of hash information systems (HIS) is introduced and some of their properties are explored and a hash-information-system-based method is proposed ...
A Hash Method for Calculating Rough Set Approximations. November 2019. DOI ... A parallel method for computing rough set approximations. Article. Jul 2012 ...
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Nov 18, 2022 · In this work, our target point is to focus on rough approximation operators generated from infra-topology spaces and examine their features.
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A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. Chelly Dagdia, Zaineb; Zarges ...
Huang et al. proposed a rough set-based rule induction algorithm to incrementally generate concise and complete alternative decision rules when the database ...
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Pawlak's classical model of rough set approximations provides an efficient tool for extracting information exactly by employing available knowledge.
Approximations are fundamental concepts of rough set theory. Rough set ... Finding a minimal decision algorithm associated with a given decision table ...
This paper presents an alternative approach for constructing a hierarchical rough set approximation in an information system. It is based on the notion of ...