On characterizations of a pair of covering-based approximation operators
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3321-8
Abstract: Granular computing is an emerging computing paradigm of information processing. Rough set theory is a kind of models of granular computing and is used to deal with the vagueness and granularity in information systems. Covering-based… read more here.
Keywords: approximation operators; covering upper; rough set; upper approximation ... See more keywords
Improved covering-based collaborative filtering for new users’ personalized recommendations
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DOI: 10.1007/s10115-020-01455-2
Abstract: User-based collaborative filtering (UBCF) is widely used in recommender systems (RSs) as one of the most successful approaches, but traditional UBCF cannot provide recommendations with satisfactory accuracy and diversity simultaneously. Covering-based collaborative filtering (CBCF) is… read more here.
Keywords: collaborative filtering; covering based; personalized recommendations; new users ... See more keywords
Closed-set lattice and modular matroid induced by covering-based rough sets
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DOI: 10.1007/s13042-014-0314-5
Abstract: Covering is a common form of data representation, and covering-based rough sets, a technique of granular computing, provide an effective tool to deal with this type of data. However, many important problems of covering-based rough… read more here.
Keywords: closed set; types matroids; covering based; based rough ... See more keywords
A Comparison of Promethee and TOPSIS Techniques based on Bipolar soft Covering based rough sets
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DOI: 10.1109/access.2022.3161470
Abstract: The uncertainty in the data is an obstacle in decision-making 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,… read more here.
Keywords: rough sets; covering based; decision making; bipolar soft ... See more keywords