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Grid service discovery with rough sets [PDF]
, 2008 Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Bin Yu +4 more
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(𝓘, 𝓣) −Standard neutrosophic rough set and its topologies properties [PDF]
Neutrosophic Sets and Systems, 2016 In this paper, we defined (𝓘, 𝓣) − standard neutrosophic rough sets based on an implicator 𝓘 and a tnorm 𝓣 on 𝑫∗ ; lower and upper approximations of standard neutrosophic sets in a standard neutrosophic approximation are defined.
Nguyen Xuan Thao, Florentin Smarandache
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A new approach of soft rough sets and a medical application for the diagnosis of Coronavirus disease
AIMS Mathematics, 2023 Rough set and soft set theories presents the mathematical foundations for studying decision making problems in different contexts. Some authors have established their own approaches regarding this theory, such as the "soft pre-rough approximation" and ...
José Sanabria +2 more
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Soft Rough Approximation Operators and Related Results
Journal of Applied Mathematics, 2013 Soft set theory is a newly emerging tool to deal with uncertain problems. Based on soft sets, soft rough approximation operators are introduced, and soft rough sets are defined by using soft rough approximation operators.
Zhaowen Li, Bin Qin, Zhangyong Cai
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Fuzzy-rough set models and fuzzy-rough data reduction
Croatian Operational Research Review, 2020 Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi +1 more
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Medical diagnosis for the problem of Chikungunya disease using soft rough sets
AIMS Mathematics, 2023 One of the most difficulties that doctors face when diagnosing a disease is making an accurate decision to correctly determine the nature of the injury. This is attributable to the similarity of symptoms for different diseases.
Mostafa K. El-Bably +2 more
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Neutrosophic Sets and Systems, 2014 Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi +2 more
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Incremental Updating Algorithm for Approximation Sets on Semi-Monolayer Cover Rough Sets [PDF]
Jisuanji gongcheng, 2022 A one-to-one mapping relationship exists between the semi-monolayer cover rough sets and the set-valued information system.When an object set in a set-valued information system is dynamically added or removed, the information unit that corresponds to the
WU Zhengjiang, ZHANG Yaning, ZHANG Zhen, MEI Qiuyu, YANG Tian
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AIMS Mathematics, 2022 In the philosophy of rough set theory, the methodologies of rough soft sets and rough fuzzy sets have been being examined to be efficient mathematical tools to deal with unpredictability.
Rukchart Prasertpong
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Multi-fuzzy Rough Sets based on Implicators and Continuous t-norms
Fuzzy Information and Engineering, 2017 This paper extends the study of multi-fuzzy rough sets using an implicator and a continuous t-norm and thus introduces multi-fuzzy rough sets based on fuzzy logical connectives.
Gayathri Varma, Sunil Jacob John
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