Empirical analysis of rough set categorical clustering techniques based on rough purity and value set [PDF]
, 2017 Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes.
Abdulhasan, Raed abdulkareem +5 more
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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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The Effectiveness of Real Estate Market Versus Efficiency of Its Participants [PDF]
, 2012 This paper attempts to prove the following hypothesis: the effectiveness of a real estate market may be identified by analysing the effectiveness of its participants.
Renigier-Biłozor, Małgorzata +1 more
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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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Rough Set Theory for Real Estate Appraisal: An Application to Directional District of Naples [PDF]
, 2017 This paper proposes an application of Rough Set Theory (RST) to the real estate field, in order to highlight its operational potentialities for mass appraisal purposes.
Cantisani, Giovanni Battista +2 more
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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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