Results 131 to 140 of about 228,240 (165)
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International Journal of Fuzzy Systems, 2022
Yang Chen, Chenxi Li, Jiaxiu Yang
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Yang Chen, Chenxi Li, Jiaxiu Yang
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Soft Computing, 2016
Sophisticated educational technologies are evolving rapidly, and online courses are becoming more easily available, generating interest in innovating lightweight data-driven adaptive approaches that foster responsive teaching and improving the overall learning experience. However, in most existing adaptive educational systems, the black-box modeling of
Almohammadi, K +3 more
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Sophisticated educational technologies are evolving rapidly, and online courses are becoming more easily available, generating interest in innovating lightweight data-driven adaptive approaches that foster responsive teaching and improving the overall learning experience. However, in most existing adaptive educational systems, the black-box modeling of
Almohammadi, K +3 more
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IEEE Computational Intelligence Magazine, 2015
Ambient Intelligence (AmI) is a multidisciplinary paradigm, which positively alters the relationship between humans and technology. Concerning home environments, the functions of AmI vision include home automation, communication, entertainment, working and learning.
Bilgin, Aysenur +4 more
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Ambient Intelligence (AmI) is a multidisciplinary paradigm, which positively alters the relationship between humans and technology. Concerning home environments, the functions of AmI vision include home automation, communication, entertainment, working and learning.
Bilgin, Aysenur +4 more
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Towards general forms of interval type-2 fuzzy logic systems
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016Recently, it has been shown that interval type-2 fuzzy sets (IT2FSs) are more general than interval-valued fuzzy sets (IVFSs), and some of these IT2FSs can actually be non-convex. Although these IT2FSs could be considered within the general type-2 fuzzy sets' (GT2FSs) scope, this latter have always been studied and developed under certain conditions ...
Gonzalo Ruiz +3 more
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General derivation and analysis for input–output relations in interval type-2 fuzzy logic systems
Soft Computing, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aliasghary, Mortaza +3 more
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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems
2017This Chapter explains the definitions, equations, the input and output membership functions, fuzzy rules and the general methodology used to develop the four edge detection approaches based on generalized type-2 fuzzy systems (GT2 FSs). The first edge detection approach is based on GT2 FSs and the Morphological gradient.
Claudia I. Gonzalez +3 more
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A Design Approach for General Type-2 Fuzzy Logic Controllers with an Online Scheduling Mechanism
IEEE International Conference on Fuzzy Systems, 2020This paper proposes a systematic approach to solve the design problem of General Type-2 (GT2) Fuzzy Logic Controllers (FLCs) with an online scheduling mechanism for performance enhancements.
A. Sakalli, T. Kumbasar, J. Mendel
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International Conference on Fuzzy Systems, 2010
Breast cancer is an important deleterious disease. Mortality rate from this cancer is effectively high and rapidly increasing. The detection at the earlier state can help to reduce the mortality rate. In this paper, we apply the interval type-2 fuzzy system with automatic membership function generation using the Possibilistic C-Means (PCM) clustering ...
Suraphon Chumklin +2 more
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Breast cancer is an important deleterious disease. Mortality rate from this cancer is effectively high and rapidly increasing. The detection at the earlier state can help to reduce the mortality rate. In this paper, we apply the interval type-2 fuzzy system with automatic membership function generation using the Possibilistic C-Means (PCM) clustering ...
Suraphon Chumklin +2 more
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A Type-2 Fuzzy Logic Decision System for Call Admission Control in Next Generation Mobile Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010In next generation cellular networks, Quality of Service (QoS) delivery will need more network resources per user, leading to network congestion problems. Call Admission Control (CAC) is the process in charge of managing calls according to the availability of network resources.
Nora Boumella, Karim Djouani
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Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems
IEEE International Conference on Fuzzy Systems, 2023Deep learning models have been successfully developed to solve complex problems with the main focus on high precision. Yet, accurately assessing uncertainty and prediction is essential for making informed decisions, especially in high-risk tasks. In this
Batuhan Avcı, Aykut Beke, T. Kumbasar
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