Results 21 to 30 of about 739,838 (283)
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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Medical Diagnosis via Distance-based Similarity Measure for Rough Neutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2021 A rough neutrosophic set theory is a generalization of uncertainty set theory with a combination of upper and lower approximation and a pair of neutrosophic sets which are characterized by truth membership degree (T), indeterminacy membership degree (I),
Suriana Alias +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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Class-based Rough Approximation with Dominance Principle [PDF]
, 2011 Dominance-based Rough Set Approach (DRSA), as the extension of Pawlak's Rough Set theory, is effective and fundamentally important in Multiple Criteria Decision Analysis (MCDA).
Chai, Junyi, Liu, James N. K.
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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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The investigation of the Bayesian rough set model [PDF]
, 1999 The original Rough Set model is concerned primarily with algebraic properties of approximately defined sets. The Variable Precision Rough Set (VPRS) model extends the basic rough set theory to incorporate probabilistic information. The article presents a
Slezak, Dominik, Ziarko, Wojciech
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Attribute Reduction Based on Consistent Covering Rough Set and Its Application
Complexity, 2017 As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both ...
Jianchuan Bai +3 more
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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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