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Dynamic updating approximations of local generalized multigranulation neighborhood rough set
Applied intelligence (Boston), 2022Weihua Xu, Kehua Yuan, Wentao Li
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A Treatise on Rough Sets [PDF]
, 2005 This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty – concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particularly those working in such areas as AI, computational intelligence,
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Fuzzy sets and rough sets [PDF]
, 2003 Fuzzy Sets and Hyperstructures introduced by Zadeh, in 1965, and by Marty, in 1934, respectively, are now used in the world both on the theoreticaI point of view and for their many applications. The Rough Sets considered for the first time by Shafer in 1976, have been reintroduced in the international scientific circle by Pawlak, in 1991 especially in ...
Piergiulio Corsini, Violeta Leoreanu
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Improvement of the approximations and accuracy measure of a rough set using somewhere dense sets
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021T. Al-shami
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Probabilistic Rough Sets Characterized by Fuzzy Sets
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2004Theories of fuzzy sets and rough sets have emerged as two major mathematical approaches for managing uncertainty that arises from inexact, noisy, or incomplete information. They are generalizations of classical set theory for modelling vagueness and uncertainty.
Li-Li Wei, Li Ma
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Multi-source information fusion based on rough set theory: A review
Information Fusion, 2021Pengfei Zhang +7 more
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Roughness bounds in rough set operations
Information Sciences, 2006This paper presents some roughness bounds for rough set operations. The results show that a bound of the set operation can be determined from their operand's roughnesses. We prove also that this bound is not determined under some special operations.
Robert John, Yingjie Yang
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A novel fuzzy rough set model with fuzzy neighborhood operators
Information Sciences, 2021Jin Ye, J. Zhan, Weiping Ding, H. Fujita
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Tri-level attribute reduction in rough set theory
Expert systems with applications, 2021Xianyong Zhang, Yiyu Yao
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A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique
Int. J. Heal. Inf. Syst. Informatics, 2016Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze these diseases. But, these images contain uncertainties due to various factors and thus intelligent techniques are essential to process these uncertainties.
C. L. Chowdhary, D. Acharjya
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