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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati +3 more
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Roughness of fuzzy soft sets and related results [PDF]
International Journal of Computational Intelligence Systems, 2015 This paper investigates roughness of fuzzy soft sets. A pair of fuzzy soft rough approximations is proposed and their properties are given. Based on fuzzy soft rough approximations, the concept of fuzzy soft rough sets is introduced.
Zhaowen Li, Tusheng Xie
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Journal of Mathematics, 2021 Multigranulation rough set theory is an important tool to deal with the problem of multicriteria information system. The notion of fuzzy β-neighborhood has been used to construct some covering-based multigranulation fuzzy rough set (CMFRS) models through
Zaibin Chang, Lingling Mao
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A Hesitant Soft Fuzzy Rough Set and its Applications
IEEE Access, 2019 The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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Advances in fuzzy sets and rough sets
International Journal of Approximate Reasoning, 2006 n ...
Masulli, F., Petrosino, A.
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Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection [PDF]
IEEE International Conference on Fuzzy Systems, 2019 Phishing as one of the most well-known cybercrime activities is a deception of online users to steal their personal or confidential information by impersonating a legitimate website.
Mahdieh Zabihimayvan, Derek Doran
semanticscholar +1 more source
FEATURE SELECTION APPLIED TO THE TIME-FREQUENCY REPRESENTATION OF MUSCLE NEAR-INFRARED SPECTROSCOPY (NIRS) SIGNALS: CHARACTERIZATION OF DIABETIC OXYGENATION PATTERNS [PDF]
, 2012 Diabetic patients might present peripheral microcirculation impairment and might benefit from physical training. Thirty-nine diabetic patients underwent the monitoring of the tibialis anterior muscle oxygenation during a series of voluntary ankle flexo ...
Balestra, Gabriella +3 more
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Journal of Applied Mathematics, 2014 In the rough fuzzy set theory, the rough degree is used to characterize the uncertainty of a fuzzy set, and the rough entropy of a knowledge is used to depict the roughness of a rough classification.
Huani Qin, Darong Luo
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Further Study of Multigranulation T-Fuzzy Rough Sets
The Scientific World Journal, 2014 The optimistic multigranulation T-fuzzy rough set model was established based on multiple granulations under T-fuzzy approximation space by Xu et al., 2012.
Wentao Li, Xiaoyan Zhang, Wenxin Sun
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