Expert Fuzzy Information Processing
This book deals with expert evaluation models in the form of semantic spaces with completeness and orthogonality properties (complete orthogonal semantic spaces). Theoretical and practical studies of some researchers have shown that these spaces describe expert evaluations most adequately, and as a...
Shranjeno v:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2011. |
| Serija: | Studies in Fuzziness and Soft Computing
268 |
| 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: | • Expert Fuzzy Information Processing, Texte imprimé, 9783642201240 • Expert Fuzzy Information Processing, Texte imprimé, 9783642267871 • Expert Fuzzy Information Processing, Texte imprimé, 9783642201240 • Expert Fuzzy Information Processing, Texte imprimé, 9783642201264 • Expert Fuzzy Information Processing, Texte imprimé, 9783642267871 • Expert Fuzzy Information Processing, Texte imprimé, 9783642201240 • Expert Fuzzy Information Processing, Texte imprimé, 9783642201264 |
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| 009 | PPN153866926 | ||
| 020 | |a 9783642201257 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Poleshchuk, Olga. | |
| 245 | 1 | 0 | |a Expert Fuzzy Information Processing |c by Olga Poleshchuk, Evgeniy Komarov. |
| 250 | |a 1st ed. 2011. | ||
| 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 268 |x 1860-0808 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Chapter 1. The basic concepts of the fuzzy sets theory Methods of expert information formalization based on complete orthogonal semantic spaces Methods of comparative and fuzzy cluster analysis of formalized information Model-building methods of the generalized characteristic expert evaluation models Ratings of objects Complete orthogonal semantic spaces in problems of the fuzzy regression analysis | |
| 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 deals with expert evaluation models in the form of semantic spaces with completeness and orthogonality properties (complete orthogonal semantic spaces). Theoretical and practical studies of some researchers have shown that these spaces describe expert evaluations most adequately, and as a result they were often included in more sophisticated models of intellectual systems for decision making and data analysis. Methods for constructing expert evaluation models of characteristics, comparative analysis of these models, studies of structural composition of their sets and constructing of generalized models are described. Models to obtain rating points for objects and groups of objects with qualitative and quantitative characteristics are presented. A number of regression models combining elements of classical and fuzzy regressions are presented. All methods and models developed by the authors and described in the book are illustrated with examples from various fields of human activities. This book meant for scientists in the field of computer science, expert systems, artificial intelligence and decision making; and also for engineers, post-graduate students and students who study the fuzzy set theory and its applications | ||
| 700 | 1 | |a Komarov, Evgeniy. |4 aut | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642201240 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642267871 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642201240 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642201264 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642267871 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642201240 | |
| 776 | 0 | |t Expert Fuzzy Information Processing |b Texte imprimé |z 9783642201264 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-4MD9WHVL-K |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750616180 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-20125-7 |z Accès Université d'Orléans | |
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| 997 | |0 968816 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||