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T-S fuzzy approach for real-time vehicle state estimation and road safety enhancement. [PDF]
Sci RepSaber M +4 more
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Predictive effects of diabetes-related risk factors for falls in community-dwelling people with diabetic peripheral neuropathy based on a logistic regression model. [PDF]
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Fuzzy functional analysis (I): Basic concepts
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Buckley, J. J., Yan, Aimin
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Functional fuzzy clusterwise regression analysis
Advances in Data Analysis and Classification, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tan, Tianyu +3 more
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1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977
System design consists of system analysis and system synthesis. In this paper, the fuzzy Web Grammar will be applied to both system analysis and synthesis so that a consistent, overall system design can be performed in a more rigorous manner. It is intended that a simulation will be run to apply the suggested approach to a real problem.
Akira Ishikawa +2 more
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System design consists of system analysis and system synthesis. In this paper, the fuzzy Web Grammar will be applied to both system analysis and synthesis so that a consistent, overall system design can be performed in a more rigorous manner. It is intended that a simulation will be run to apply the suggested approach to a real problem.
Akira Ishikawa +2 more
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Fuzzy clustering analysis for optimizing fuzzy membership functions
Fuzzy Sets and Systems, 1999Fuzzy model identification is an application of fuzzy inference system for identifying unknown functions, for a given set of sampled data. The most important thing for fuzzy identification task is to decide the parameters of membership functions (MFs) used in fuzzy systems.
Mu-Song Chen, Shinn-Wen Wang
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Fuzzy Modeling for Function Points Analysis
Software Quality Journal, 2003Function Point Analysis (FPA) is a largely used technique to estimate the size of development project, enhancement project or applications already installed. During the point counting process that represents the dimension of a project or an application, each function is classified according to its relative functional complexity.
Osias de Souza Lima +2 more
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TSK Fuzzy Function Approximators: Design and Accuracy Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Fuzzy systems are excellent approximators of known functions or for the dynamic response of a physical system. We propose a new approach to approximate any known function by a Takagi-Sugeno-Kang fuzzy system with a guaranteed upper bound on the approximation error.
Assem H, Sonbol +2 more
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Analysis of function duplicating capabilities of fuzzy controllers
Fuzzy Sets and Systems, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Jihong, Chae, Seog
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