A Similarity Reasoning Scheme for Modelling of Monotonic Multi-Input Fuzzy Inference Systems

2010 Fourth International Conference on Genetic and Evolutionary Computing ◽

10.1109/icgec.2010.60 ◽

2010 ◽

Author(s):

Kai-Meng Tay ◽

Chee-Peng Lim

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Similarity Reasoning ◽

Inference Systems

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A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems

Journal of Intelligent & Fuzzy Systems ◽

10.3233/ifs-2012-0497 ◽

2012 ◽

Vol 23 (2,3) ◽

pp. 71-92 ◽

Author(s):

Kai Meng Tay ◽

Tze Ling Jee ◽

Chee Peng Lim

Keyword(s):

Linear Programming ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Non Linear Programming ◽

Similarity Reasoning ◽

Inference Systems ◽

Monotonicity Preserving

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A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2013.6622455 ◽

2013 ◽

Author(s):

Kai Meng Tay ◽

Lie Meng Pang ◽

Tze Ling Jee ◽

Chee Peng Lim

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Similarity Reasoning ◽

Inference Systems ◽

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Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2014.6891738 ◽

2014 ◽

Author(s):

Tze Ling Jee ◽

Kok Chin Chai ◽

Kai Meng Tay ◽

Chee Peng Lim

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Rule Selection ◽

Similarity Reasoning ◽

Inference Systems

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An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) ◽

10.1109/fuzzy.2011.6007388 ◽

2011 ◽

Author(s):

Kai Meng Tay ◽

Chee Peng Lim

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Similarity Reasoning ◽

Inference Systems

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Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting

Natural Hazards ◽

10.1007/s11069-021-04694-w ◽

2021 ◽

Author(s):

Ruhhee Tabbussum ◽

Abdul Qayoom Dar

Keyword(s):

Fuzzy Inference ◽

Flood Forecasting ◽

Fuzzy Inference Systems ◽

Neuro Fuzzy ◽

Inference Systems

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Linearizing E-Type Thermocouple Output Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems

2006 IEEE 14th Signal Processing and Communications Applications ◽

10.1109/siu.2006.1659811 ◽

2006 ◽

Author(s):

I. Dalkiran ◽

K. Danisman

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Inference Systems

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Investigating Application of Adaptive Neuro Fuzzy Inference Systems Method and Epanet Software for Modeling Green Space Water Distribution Network

Iranian Journal of Science and Technology Transactions of Civil Engineering ◽

10.1007/s40996-021-00625-8 ◽

2021 ◽

Author(s):

Mohammad Reza Hassanvand ◽

Amir Hossein Salimi ◽

Ozgur Kisi ◽

Hossein Omidvar Mohammadi ◽

Nasrin Abouzari

Keyword(s):

Water Distribution ◽

Green Space ◽

Fuzzy Inference ◽

Distribution Network ◽

Water Distribution Network ◽

Fuzzy Inference Systems ◽

Neuro Fuzzy ◽

Inference Systems

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Fuzzy inference systems based on multi-type features fusion for intra-hour solar irradiance forecasts

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2021.101061 ◽

2021 ◽

Vol 45 ◽

pp. 101061

Author(s):

Xin Zhao ◽

Liping Xie ◽

Haikun Wei ◽

Hai Wang ◽

Kanjian Zhang

Keyword(s):

Solar Irradiance ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Features Fusion ◽

Inference Systems

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Interpretability and mean-square error performance of fuzzy inference systems For Data Mining

Intelligent Systems in Accounting Finance & Management ◽

10.1002/isaf.263 ◽

2005 ◽

Vol 13 (4) ◽

pp. 185-196 ◽

Author(s):

Ashwani Kumar

Keyword(s):

Data Mining ◽

Mean Square Error ◽

Fuzzy Inference ◽

Mean Square ◽

Fuzzy Inference Systems ◽

Error Performance ◽

Inference Systems ◽

Mean Square Error Performance

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A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms

Proceedings of the 2011 ACM Symposium on Research in Applied Computation - RACS '11 ◽

10.1145/2103380.2103449 ◽

2011 ◽

Author(s):

Wei Huang ◽

Sung-Kwun Oh ◽

Keon-Jun Park ◽

Yong-Kab Kim

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

Optimization Algorithm ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Information Granulation ◽

Inference Systems

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