Results 21 to 30 of about 7,556,433 (371)
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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Confusion Matrices and Rough Set Data Analysis [PDF]
Journal of Physics: Conference Series, 2019 A widespread approach in machine learning to evaluate the quality of a classifier is to cross – classify predicted and actual decision classes in a confusion matrix, also called error matrix.
I. Düntsch, G. Gediga
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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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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 ...
A. K. Jain +33 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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Computing fuzzy rough approximations in large scale information systems [PDF]
, 2014 Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan +7 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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New neighborhood based rough sets [PDF]
, 2015 Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, as neighborhood operators generalize equivalence classes.
I Couso +11 more
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