Results 11 to 20 of about 24,695,904 (268)
A Semantical Approach to Rough Sets and Dominance-Based Rough Sets
, 2016 There exist two formulations of rough sets: the conceptual and computational one. The conceptual or semantical approach of rough set theory focuses on the meaning and interpretation of concepts, while algorithms to compute those concepts are studied in the computational formulation. However, the research on the former is rather limited.
Lynn D'eer, Chris Cornelis, Yiyu Yao
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An incremental approach for calculating dominance-based rough set dependency [PDF]
Soft ComputingFeature selection and classification are widely used in machine learning in the context of big data. In many data sets, both attributes and decision classes can be preference ordered. Therefore, to process the data and information based on preference-ordered attributes, dominance-based rough set approach (DRSA) has been proposed.
Rana Muhammad Kaleem Ullah +3 more
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Dominance-Based Rough Set Approach to Network Bridge Management
The Baltic Journal of Road and Bridge Engineering, 2014 Bridge management is essential for optimizing available resources. Prioritising maintenance and assessing the effectiveness of different maintenance strategies are based on the conventional condition ratings of bridge components.
Maria Grazia Augeri +3 more
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MathematicsThe handling of missing attribute values remains a challenging and problematic issue in data analysis. Imputation techniques are key procedures used to deal with missing attribute values.
Ahmet Topal +2 more
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Fuzzy extensions of the dominance-based rough set approach [PDF]
International Journal of Approximate Reasoning, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marko Palangetic +3 more
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Grid service discovery with rough sets [PDF]
, 2008 Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z, Li, M, Rana, O, Yu, B
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Dominance-based rough set approach for group decisions [PDF]
European Journal of Operational Research, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salem Chakhar +3 more
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Incremental approximation computation in incomplete ordered decision systems
International Journal of Computational Intelligence Systems, 2017 Approximation computation is a critical step in rough sets theory used in knowledge discovery and other related tasks. In practical applications, an information system often evolves over time by the variation of attributes or objects.
Guanglei Gou, Guoyin Wang
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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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A Dominance Degree for Rough Sets and Its Application in Ranking Popularity [PDF]
, 2014 Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules.
Guan, Jianfeng +3 more
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