Fuzzy Networks for Complex Systems : A Modular Rule Base Approach
This book introduces the novel concept of a fuzzy network whose nodes are rule bases and the connections between the nodes are the interactions between the rule bases in the form of outputs fed as inputs. The concept is presented as a systematic study for improving the feasibility and transparency o...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edice: | Studies in Fuzziness and Soft Computing
259 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy Networks for Complex Systems, Texte imprimé, 9783642155994 |
| LEADER | 03315nam a22003137a 4500 | ||
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| 008 | 110106q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN149026129 | ||
| 020 | |a 9783642156007 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Gegov, Alexander. | |
| 245 | 1 | 0 | |a Fuzzy Networks for Complex Systems : |b A Modular Rule Base Approach |c by Alexander Gegov. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 259 |x 1434-9922 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction Types of Fuzzy Systems Formal Models for Fuzzy Networks Basic Operations in Fuzzy Networks Structural Properties of Basic Operations Advanced Operations in Fuzzy Networks Feedforward Fuzzy Networks Feedback Fuzzy Networks Evaluation of Fuzzy Networks Conclusion | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book introduces the novel concept of a fuzzy network whose nodes are rule bases and the connections between the nodes are the interactions between the rule bases in the form of outputs fed as inputs. The concept is presented as a systematic study for improving the feasibility and transparency of fuzzy models by means of modular rule bases whereby the model accuracy and efficiency can be optimised in a flexible way. The study uses an effective approach for fuzzy rule based modelling of complex systems that are characterised by attributes such as nonlinearity, uncertainty, dimensionality and structure.The approach is illustrated by formal models for fuzzy networks, basic and advanced operations on network nodes, properties of operations, feedforward and feedback fuzzy networks as well as evaluation of fuzzy networks. The results are demonstrated by numerous examples, two case studies and software programmes within the Matlab environment that implement some of the theoretical methods from the book. The book shows the novel concept of a fuzzy network with networked rule bases as a bridge between the existing concepts of a standard fuzzy system with a single rule base and a hierarchical fuzzy system with multiple rule bases | ||
| 776 | 0 | |t Fuzzy Networks for Complex Systems |b Texte imprimé |z 9783642155994 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-CH0J4D81-9 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747834865 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-3-642-15600-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750852364 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/978-3-642-15600-7 |z Accès INSA CVL | |
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