Advances in Fuzzy Sets and Systems

The Advances in Fuzzy Sets and Systems publishes original research papers in the field of fuzzy sets and systems, covering topics such as artificial intelligence, robotics, decision-making, and data analysis. It also welcomes papers on variants of fuzzy sets and algorithms for computational work.

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A NOVEL MULTI-GRANULATION MODEL BASED ON $\alpha$-FUZZIFIED ROUGH SET ENVIRONMENT AND ITS APPLICATION IN CLASSIFICATION

Authors

  • Tanzeela Shaheen
  • Wajid Ali
  • Bilal Hussain
  • Afshan Qayyum

Keywords:

rough sets, fuzzy rough sets, multi-granulation rough sets, $\alpha$-fuzzified rough sets

DOI:

https://doi.org/10.17654/0973421X24003

Abstract

Rough set (RS) and generalized rough set theories utilize single relations to obtain approximations of sets on a given universe of discourse. In granular computation, this is called single granularity. This article first expands $\alpha$-fuzzified RSs established on fuzzy tolerance relation to $\alpha$-optimistic multi-granulation fuzzified RSs by using a set of tolerance fuzzy relations over a given universe. Moreover, several elementary measures are proposed in this framework. Its application in feature selection has been highlighted through experimental analysis.

Received: March 28, 2024
Accepted: May 17, 2024

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Published

2024-06-15

Issue

Section

Articles

How to Cite

A NOVEL MULTI-GRANULATION MODEL BASED ON $\alpha$-FUZZIFIED ROUGH SET ENVIRONMENT AND ITS APPLICATION IN CLASSIFICATION. (2024). Advances in Fuzzy Sets and Systems, 29(1), 39-68. https://doi.org/10.17654/0973421X24003

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