Results 21 to 30 of about 10,010,302 (244)
Rough sets theory and its extensions for attribute reduction: a review [PDF]
Big Data and Computing Visions, 2021 The rough sets theory is a mathematical tool to express vagueness by means of boundary region of a set. The main advantage of this implementation of vagueness is that it requires no human input or domain knowledge other than the given data set.
Sadegh Eskandari
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International Journal of Computational Intelligence Systems, 2014 Rough set theory gives approximation models of complex knowledge structure. Agents are not present in the definition of the rough sets. Now we will show that a set of conflicting agents or active set can be used to model inconsistent decision in rough ...
Germano Resconi, Chris Hinde
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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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ISPRS International Journal of Geo-Information, 2020 Generalization of geographic information enables cognition and understanding not only of objects and phenomena located in space but also the relations and processes between them.
Anna Fiedukowicz
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Rough set theory and its applications
Journal of Telecommunications and Information Technology, 2002 In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be illustrated by a simple tutorial example, concerning churn modeling in telecommunications.
Zdzisław Pawlak
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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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Application of multi-valued rough neutrosophic set and matrix in multi-criteria decision-making
Mathematics in Applied Sciences and Engineering, 2023 Rough set concept is a methodology of information processing for relational databases. It is a unique uncertainty mathematics topic closely connected to fuzzy set theory.
Donbosco Jeni Seles Martina +1 more
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On Uncertainty Measure Issues in Rough Set Theory
IEEE Access, 2020 Rough set theory is a tool for dealing with uncertainty problems. How to measure the uncertainty of a knowledge is an important issue in the theory. However, the existing uncertainty measures may not accurately reflect the uncertainty degree.
Jianguo Tang +3 more
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Sub-exact sequence of rough groups
Al-Jabar, 2021 Rough Set Theory (RST) is an essential mathematical tool to deal with imprecise, inconsistent, incomplete information and knowledge Rough Some algebra structures, such as groups, rings, and modules, have been presented on rough set theory.
Nevi Setyaningsih +2 more
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