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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector. [PDF]
Sci RepHarl MI +4 more
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Subset neighborhood rough sets
Knowledge-Based Systems, 2022We present a novel kind of neighborhood, named subset neighborhood and denoted as Sρ-neighborhood. It is defined under an arbitrary binary relation using the inclusion relations between Nρ-neighborhoods. We study its relationships with some kinds of neighborhood systems given in the literature.
Tareq M Al-Shami, Davide Ciucci
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Measures of uncertainty for neighborhood rough sets
Knowledge-Based Systems, 2017Uncertainty measures are critical evaluating tools in machine learning fields, which can measure the dependence and similarity between two feature subsets and can be used to judge the significance of features in classifying and clustering algorithms. In the classical rough sets, there are some uncertainty tools to measure a feature subset, including ...
Yumin Chen, Yu Xue
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Neighborhood operators for covering-based rough sets
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lynn D'Eer +2 more
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Variable radius neighborhood rough sets and attribute reduction
International Journal of Approximate Reasoning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Zhang, Ping Zhu 0001
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Uncertainty measures of Neighborhood System-based rough sets
Knowledge-Based Systems, 2015We first study the uncertainty of rough sets in binary GrC Model (Third GrC Model).We first propose the rough memberships to depict rough sets.Construct fuzzy entropy based on rough memberships and prove its rationality.We first propose the rough intuitionistic memberships to depict rough sets.Construct intuitionistic fuzzy entropy to measure ...
Tingting Zheng
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Attribute reduction based on k-nearest neighborhood rough sets
International Journal of Approximate Reasoning, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Changzhong Wang +2 more
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Generalized rough sets based on neighborhood systems and topological spaces
Journal of the Egyptian Mathematical Society, 2016 Rough sets theory is an important method for dealing with uncertainty, fuzziness and undefined objects. In this paper, we introduce a new approach for generalized rough sets based on the neighborhood systems induced by an arbitrary binary relation.
R Mareay
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Neighborhood Rough Set Approach With Biometric Application
International Journal of Sociotechnology and Knowledge Development, 2022This paper provides a new approach for human identification based on Neighborhood Rough Set (NRS) algorithm with biometric application of ear recognition. The traditional rough set model can just be used to evaluate categorical features. The neighborhood model is used to evaluate both numerical and categorical features by assigning different thresholds
B. Lavanya +2 more
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Knowledge-Based Systems, 2018
Abstract With the advent of the age of big data, a typical big data set called limited labeled big data appears. It includes a small amount of labeled data and a large amount of unlabeled data. Some existing neighborhood-based rough set algorithms work well in analyzing the rough data with numerical features.
Qi Wang +4 more
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Abstract With the advent of the age of big data, a typical big data set called limited labeled big data appears. It includes a small amount of labeled data and a large amount of unlabeled data. Some existing neighborhood-based rough set algorithms work well in analyzing the rough data with numerical features.
Qi Wang +4 more
openaire +1 more source