Results 1 to 10 of about 10,010,302 (244)
An Efficient Soft Set-Based Approach for Conflict Analysis. [PDF]
PLoS ONE, 2016 Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc.
Edi Sutoyo +3 more
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A Novel Text Classification Model Combining Time Correlation Principle and Rough Set Theory
IEEE Access, 2023 This research aims to design a literary text feature classification and information extraction model based on the principle of temporal association and rough set theory.
Dejun Zhang
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Neutrosophic Soft Rough Graphs with Application
Axioms, 2018 Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram +3 more
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Decision-Theoretic Rough Set: A Fusion Strategy
IEEE Access, 2020 Decision-theoretic rough set is a popular topic. However, such single-granulation rough set model is not able to handle complex information well, such as multi-source, multi-scale and high dimensions data.
Tao Yin +5 more
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Constrained tolerance rough set in incomplete information systems
CAAI Transactions on Intelligence Technology, 2021 The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance ...
Renxia Wan, Duoqian Miao, Witold Pedrycz
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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On Topological Properties of IF Approximation Spaces
Fuzzy Information and Engineering, 2015 Rough approximation operators in approximation spaces are the core concept of rough set theory, which draw close links between rough set theory and topology.
Ning-Xin Xie
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Slime Mould Games Based on Rough Set Theory
International Journal of Applied Mathematics and Computer Science, 2018 We define games on the medium of plasmodia of slime mould, unicellular organisms that look like giant amoebae. The plasmodia try to occupy all the food pieces they can detect. Thus, two different plasmodia can compete with each other.
Pancerz Krzysztof, Schumann Andrew
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Three-Way Fuzzy Sets and Their Applications (II)
Axioms, 2022 Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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Feature Selection In Document Clustering Using Rough Set Theory [PDF]
Journal of the ACS Advances in Computer Science, 2007 One fundamental aspect of rough set theory is the search of subsets of attributes that provide the same information for classification purposes as the full set of attributes. In this paper, application of rough set theory to feature selection in document
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