Perception-based data mining and decision making in economics and finance
The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importanc...
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| Other Authors: | , , , |
|---|---|
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edition: | 1st ed. 2007. |
| Series: | Studies in Computational Intelligence
36 |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Perception-based Data Mining and Decision Making in Economics and Finance, Texte imprimé, 9783540362449 • Perception-based Data Mining and Decision Making in Economics and Finance, Texte imprimé, 9783540826583 • Perception-based Data Mining and Decision Making in Economics and Finance, Texte imprimé, 9783642071638 • Perception-based Data Mining and Decision Making in Economics and Finance, Texte imprimé, 9783540362449 |
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| 020 | |a 9783540362470 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 245 | 0 | 0 | |a Perception-based data mining and decision making in economics and finance |c edited by Ildar Batyrshin, Janusz Kacprzyk, Leonid Sheremetov, Lotfi A. Zadeh. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 36 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Data Mining Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries Moving Approximation Transform and Local Trend Associations in Time Series Data Bases Perception Based Patterns in Time Series Data Mining Perception-Based Functions in Qualitative Forecasting Towards Automated Share Investment System Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data Invariant Hierarchical Clustering Schemes Decision Making Fuzzy Components of Cooperative Markets Possibilistic Probabilistic Models and Methods of Portfolio Optimization Toward Graded and Nongraded Variants of Stochastic Dominance Option Pricing in the Presence of Uncertainty Nonstochastic Model-Based Finance Engineering Collective Intelligence in Multiagent Systems: Interbank Payment Systems Application Fuzzy Models in Credit Risk 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 The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance | ||
| 700 | 1 | |a Batyrshin, Ildar. |4 pbd | |
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Sheremetov, Leonid. |4 pbd | |
| 700 | 1 | |a Zadeh, Lotfi, |d 1921-2017. |4 pbd | |
| 776 | 0 | |t Perception-based Data Mining and Decision Making in Economics and Finance |b Texte imprimé |z 9783540362449 | |
| 776 | 0 | |t Perception-based Data Mining and Decision Making in Economics and Finance |b Texte imprimé |z 9783540826583 | |
| 776 | 0 | |t Perception-based Data Mining and Decision Making in Economics and Finance |b Texte imprimé |z 9783642071638 | |
| 776 | 0 | |t Perception-based Data Mining and Decision Making in Economics and Finance |b Texte imprimé |z 9783540362449 | |
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