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The classical rough set theory was presented by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the universe.
Noor Rehman +3 more
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Soft ordered double quantitative approximations based three-way decisions and their applications
The classical theory of rough set was established by Pawlak, which mainly focusses on the approximation of sets characterized by a single equivalence relation over the universe. However, most of the current single granulation structure models cannot meet
Gustavo Santos-García +2 more
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The dominance-based rough set approach is crucial to the advancement of rough set theory. It gives a more thorough and adaptable framework for knowledge acquisition, information analysis, and DM.
Iftikhar Ul Haq +4 more
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Qualitative Combination Algorithm for Rough Clustering Based on Fuzzy Dominance Relations [PDF]
In order to perform qualitative combination clustering analysis on mixed data sets containing numeric and noun attributes,a qualitative combination algorithm f-QRD for rough clustering based on fuzzy dominance relations is proposed.The mixed data sets ...
SHEN Yixiu, MA Fumin, CAO Jie
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A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
The uncertainty in the data is an obstacle in decision-making (DM) problems. In order to solve problems with a variety of uncertainties a number of useful mathematical approaches together with fuzzy sets, rough sets, soft sets, bipolar soft sets have ...
Rizwan Gul +3 more
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Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations [PDF]
Based on multi-dominance discernibility matrices, a non-incremental algorithm RIDDM and an incremental algorithm INRIDDM are proposed by means of Dominance-based Rough Set Approach. For the incremental algorithm, when a new object arrives, after updating
Xiuyi Jia +3 more
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Accelerating Update of Approximations Under a Dominance Relation
In real-time applications, the information system may often evolves over time. Dynamic information processing is one of main challenges in the research fields related to information processing.
Zhiyong Hong, Shaoyong Li, Lin Yu
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Although the concepts of imprecision are captured by both rough sets and intuitionistic fuzzy sets, investigations combining these two ideas and their applications in incompletely ordered information systems are scarce.
Iftikhar Ul Haq +4 more
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Pruning Decision Rules by Reduct-Based Weighting and Ranking of Features
Methods and techniques of feature selection support expert domain knowledge in the search for attributes, which are the most important for a task.
Urszula Stańczyk
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The mine safety performance evaluation and its law were taken as research objects; the human factor, mechanical equipment, management system, environment and technology were taken as mine safety state indexes; accident loss and disabling incident ...
Jianhong Chen +4 more
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