Learning algorithms in fuzzy cognitive maps
176 p.
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sg-ntu-dr.10356-574012023-03-04T00:33:11Z Learning algorithms in fuzzy cognitive maps Song, Hengjie Miao Chun Yan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity 176 p. Fuzzy Cognitive Maps (FCMs) are convenient and widely used technique for modelling dynamic systems, which are characterized by flexibility and adaptability to a given domain. However since lacking efficient methods to automatically identify the membership functions and to quantify the causalities which are the very foundations of FCM theory, constructing FCMs for complex systems heavily relies on expert knowledge. The manually developed models have a substantial shortcoming due to the model subjectivity and difficulties in evaluating its reliability. Doctor of Philosophy (SCE) 2014-04-07T10:25:22Z 2014-04-07T10:25:22Z 2010 2010 Thesis http://hdl.handle.net/10356/57401 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Song, Hengjie Learning algorithms in fuzzy cognitive maps |
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176 p. |
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Miao Chun Yan |
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Miao Chun Yan Song, Hengjie |
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Theses and Dissertations |
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Song, Hengjie |
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Song, Hengjie |
title |
Learning algorithms in fuzzy cognitive maps |
title_short |
Learning algorithms in fuzzy cognitive maps |
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Learning algorithms in fuzzy cognitive maps |
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Learning algorithms in fuzzy cognitive maps |
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Learning algorithms in fuzzy cognitive maps |
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learning algorithms in fuzzy cognitive maps |
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2014 |
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http://hdl.handle.net/10356/57401 |
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1759855453289840640 |