Validation of Subjectively Determined Risk Premia in High-Technology Ventures Investments using a Novel Framework for Converting Fuzzy Cognitive Maps into Rule-based Fuzzy Inference Systems

Signal and Image Processing and Applications / 716: Artificial Intelligence and Soft Computing ◽

10.2316/p.2011.716-034 ◽

2011 ◽

Cited By ~ 1

Author(s):

Lars Krüger ◽

Ralf Salomon ◽

Peter Heydebreck

Keyword(s):

Fuzzy Inference ◽

High Technology ◽

Cognitive Maps ◽

Risk Premia ◽

Fuzzy Cognitive Maps ◽

Fuzzy Inference Systems ◽

Rule Based ◽

Inference Systems ◽

Technology Ventures

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K2F – A Novel Framework for Converting Fuzzy Cognitive Maps into Rule-Based Fuzzy Inference Systems

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13208-7_17 ◽

2010 ◽

pp. 128-135 ◽

Cited By ~ 4

Author(s):

Lars Krüger

Keyword(s):

Fuzzy Inference ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Fuzzy Inference Systems ◽

Rule Based ◽

Inference Systems

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SoS Meta-architecture Assessment by Dual Application of Rule Based Fuzzy Inference Systems

Procedia Computer Science ◽

10.1016/j.procs.2016.09.297 ◽

2016 ◽

Vol 95 ◽

pp. 87-94 ◽

Cited By ~ 1

Author(s):

Andrew Renault

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Rule Based ◽

Inference Systems

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F2C – An Innovative Approach to Use Fuzzy Cognitive Maps (FCM) for the Valuation of High-Technology Ventures

Communications of the IBIMA ◽

10.5171/2011.483882 ◽

2011 ◽

pp. 1-14

Author(s):

Peter Heydebreck ◽

Magnus Klofsten ◽

Lars Krüger

Keyword(s):

High Technology ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Innovative Approach ◽

Technology Ventures

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Application of adaptive-network-based fuzzy inference systems to the parameter optimization of a biochemical rule-based model

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2019.01.021 ◽

2019 ◽

Vol 107 ◽

pp. 153-160

Author(s):

Brittany R. Hoard

Keyword(s):

Parameter Optimization ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Adaptive Network ◽

Rule Based ◽

Inference Systems

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Rule-based metainference for crisp-type two-string fuzzy inference systems

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2014.6974078 ◽

2014 ◽

Author(s):

Moritz Schneider ◽

Saman Khodaverdian ◽

Jurgen Adamy

Keyword(s):

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Rule Based ◽

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 ◽

Cited By ~ 2

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 ◽

Cited By ~ 3

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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