Results 21 to 30 of about 5,204,108 (294)
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.
Wang, Z +7 more
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A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
IEEE Access, 2021 The uncertainty in the data is an obstacle in decision-making (DM) problems. In order to solve problems with a variety of uncertainties a number of useful mathematical approaches together with fuzzy sets, rough sets, soft sets, bipolar soft sets have ...
Rizwan Gul +3 more
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Attribute Reduction of Variable Precision Fuzzy Rough Set Based on Misclassification Cost [PDF]
Jisuanji kexue, 2022 Attribute reduction is a hot research issue in rough set.In this paper, how to reduce redundant attributes without increasing the misclassification cost is studied.Firstly, the minimum misclassification degree of variable precision fuzzy rough sets is ...
WANG Zi-yin, LI Lei-jun, MI Ju-sheng, LI Mei-zheng, XIE Bin
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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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Training set edition using Rough Set Theory for Semi-supervised Classification
, 2017 Semi-supervised Classification (SSC) is becoming an attractive research filed due to the emergence of real-world problems on which the number of unlabeled examples exceeds the labeled ones.
Nápoles, G. +4 more
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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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Fermatean neutrosophic rough set [PDF]
Computational Algorithms and Numerical DimensionsIn order to balance uncertainty, a reasonable approximation of a crisp set that yields lower as well as upper approximations of the set is made. Here, first, a special class of Fermatean Neutrosophic Set is devised by associating the Neutrosophic Set ...
S Bhuvaneshwari +2 more
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The Upper and Lower Approximations in Rough Subgroupoid of a Groupoid
Moroccan Journal of Pure and Applied Analysis, 2018 In this article, we introduce the concept of rough subgroupoid of a groupoid as a generalization of a rough subgroup and give some features about the lower and the upper approximations in a groupoid [1]. We give some of the characterization of them.
Tasbozan H., Icen I.
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Polish Cartographical Review, 2020 Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification.
Fiedukowicz Anna
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Rough Standard Neutrosophic Sets: An Application on Standard Neutrosophic Information Systems [PDF]
Neutrosophic Sets and Systems, 2016 A rough fuzzy set is the result of the approximation of a fuzzy set with respect to a crisp approximation space. It is a mathematical tool for the knowledge discovery in the fuzzy information systems.
Nguyen Xuan Thao +2 more
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