Foundations of computational intelligence. Volume 2, Approximate reasoning
Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Demps...
Shranjeno v:
| Drugi avtorji: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2009. |
| Serija: | Studies in Computational Intelligence
202 |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Foundations of Computational Intelligence Volume 2, Texte imprimé, 9783642015328 • Foundations of Computational Intelligence Volume 2, Texte imprimé, 9783642015342 • Foundations of Computational Intelligence Volume 2, Texte imprimé, 9783642015328 • Foundations of Computational Intelligence Volume 2, Texte imprimé, 9783642101830 |
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| 009 | PPN136300995 | ||
| 020 | |a 9783642015335 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 245 | 0 | 0 | |a Foundations of computational intelligence. |n Volume 2, |p Approximate reasoning |c edited by Janusz Kacprzyk, Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 202 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Approximate Reasoning - Theoretical Foundations and Applications Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas Paraconsistent Annotated Logic Program Before-after EVALPSN and Its Application Approximate Reasoning - Success Stories and Real World Applications A Fuzzy Set Approach to Software Reliability Modeling Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management A Bayesian Solution to the Modifiable Areal Unit Problem Fuzzy Logic Control in Communication Networks Adaptation in Classification Systems Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network An Overview of Fuzzy C-Means Based Image Clustering Algorithms | |
| 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 Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on theory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for approximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning Theoretical Foundations and Part-II: Approximate Reasoning Success Stories and Real World Applications | ||
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Abraham, Ajith, |d 1968- |4 pbd | |
| 700 | 1 | |a Herrera, Francisco. |4 pbd | |
| 700 | 1 | |a Hassanien, Aboul Ella, |d 1964- |4 pbd | |
| 776 | 0 | |t Foundations of Computational Intelligence Volume 2 |b Texte imprimé |z 9783642015328 | |
| 776 | 0 | |t Foundations of Computational Intelligence Volume 2 |b Texte imprimé |z 9783642015342 | |
| 776 | 0 | |t Foundations of Computational Intelligence Volume 2 |b Texte imprimé |z 9783642015328 | |
| 776 | 0 | |t Foundations of Computational Intelligence Volume 2 |b Texte imprimé |z 9783642101830 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-01533-5 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-HBNFG1HK-6 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747845719 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-01533-5 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:75086320X |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-01533-5 |z Accès INSA CVL | |
| 997 | |0 941603 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||