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Cosine and cotangent similarity measures for intuitionistic fuzzy hypersoft sets with application in MADM problem. [PDF]
HeliyonNaveed Jafar M +5 more
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Research on wheelchair form design based on Kansei engineering and GWO-BP neural network. [PDF]
Sci RepCai W, Wang Z, Wang Y, Zhou M.
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α-RST: a generalization of rough set theory
Information Sciences, 2000The paper presents an approach called Alpha Rough Set Theory (\(\alpha\)-RST) as a generalization of rough set approach. The values of attributes in information systems are assumed to be pairs \((\ell,v)\) consisting of the linguistic variable \(\ell\) and the value \(v\) of the fuzzy membership function corresponding to the linguistic variable 1 ...
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Socio-Economic Planning Sciences
Urban sustainability is essential to address the challenges posed by population explosion, excessive consumption, and environmental disasters. Controversial discussions between governments and academics in countries like Iran challenge sustainable development.
Khosravi, Faramarz, Izbirak, Gokhan
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Urban sustainability is essential to address the challenges posed by population explosion, excessive consumption, and environmental disasters. Controversial discussions between governments and academics in countries like Iran challenge sustainable development.
Khosravi, Faramarz, Izbirak, Gokhan
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2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions – like data distribution in statistical analysis.
Fung, Tze-ho, Li, Wing-yi
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Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions – like data distribution in statistical analysis.
Fung, Tze-ho, Li, Wing-yi
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Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, 2018
Network intrusion detection system plays an important role in defending against more and more network malicious attacks. In addition, the accuracy and efficiency of the system will be significantly improved when combing different machine learning based algorithms.
Jianguo Jiang +4 more
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Network intrusion detection system plays an important role in defending against more and more network malicious attacks. In addition, the accuracy and efficiency of the system will be significantly improved when combing different machine learning based algorithms.
Jianguo Jiang +4 more
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RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory
2012The Dendritic Cell Algorithm (DCA) is an immune-inspired classification algorithm based on the behavior of dendritic cells. The DCA performance depends on its data pre-processing phase including feature selection and their categorization to specific signal types. For feature selection, DCA applies the principal component analysis (PCA).
Zeineb Chelly, Zied Elouedi
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Multi-source information fusion based on rough set theory: A review
Information Fusion, 2021Pengfei Zhang +2 more
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