Shadowed-set-based three-way clustering methods: an investigation of new optimization-based principles
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Publication:6188158
DOI10.1016/j.ins.2022.01.018OpenAlexW4206052836MaRDI QIDQ6188158
Tamunokuro Opubo William-West, Musa Adeku Ibrahim, Armand Florentin Donfack Kana
Publication date: 1 February 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2022.01.018
Cites Work
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- Borderline vs. unknown: comparing three-valued representations of imperfect information
- Decision-theoretic three-way approximations of fuzzy sets
- Constructing shadowed sets and three-way approximations of fuzzy sets
- Shadowed \(c\)-means: integrating fuzzy and rough clustering
- A three-way clustering approach for handling missing data using GTRS
- Fuzzy clustering algorithms based on resolution and their application in image compression
- Validity index for crisp and fuzzy clusters
- Game theoretic approach to shadowed sets: a three-way tradeoff perspective
- Principles for constructing three-way approximations of fuzzy sets: a comparative evaluation based on unsupervised learning
- A PRINCIPLE OF UNCERTAINTY AND INFORMATION INVARIANCE*
- Granular computing with shadowed sets
- An Outline of a Theory of Three-Way Decisions
- Shadowed set approximation of fuzzy sets based on nearest quota of fuzziness
- A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory
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