Handbook on decision Making. Vol 1, Techniques and applications
Decision making is a multi-faceted and challenging, yet important task. A decision maker normally has to take into consideration a number of alternatives, which often conflict with one another, before reaching a good decision. To cope with the challenges of decision making, decision support systems...
Enregistré dans:
| Andre forfattere: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Serier: | Intelligent Systems Reference Library
4 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handbook on Decision Making, Texte imprimé, 9783642136382 |
| LEADER | 05073nam a22003257a 4500 | ||
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| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 245 | 0 | 0 | |a Handbook on decision Making. |n Vol 1, |p Techniques and applications |c edited by Lakhmi C. Jain, Chee Peng Lim. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Intelligent Systems Reference Library |v 4 |x 1868-4408 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Modelling and Design Techniques for Intelligent Decision Support Systems Advances in Intelligent Decision Making IDSSE-M: Intelligent Decision Support Systems Engineering Methodology Shape Design of Products Based on a Decision Support System Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations Computational Agents in Complex Decision Support Systems A Multi-criteria Decision-Support Approach to Sustainable Rural Energy in Developing Countries A Decision Making System Based on Complementary Learning A Forecasting Support System Based on Exponential Smoothing Reinforcement Based U-Tree: A Novel Approach for Solving POMDP On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems Reviews and Applications of Intelligent Decision Support Systems Decision Support Systems in Transportation Decision Support Systems for the Food Industry Building a Decision Support System for Urban Design Based on the Creative City Concept Fuzzy Prices in Combinatorial Auction Application of Artificial Neural Network to Fire Safety Engineering Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design A Cognitive Interpretation of Thermographic Images Using Novel Fuzzy Learning Semantic Memories Adaptive Fuzzy Inference Neural Network System for EEG Signal Classification A Systematic Approach to the Design of a Case-Based Reasoning System for Attention-Deficit Hyperactivity Disorder A NeuroCognitive Approach to Decision Making for the Reconstruction of the Metabolic Insulin Profile of a Healthy Person Erratum Erratum: Fuzzy Prices in Combinatorial Auction | |
| 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 Decision making is a multi-faceted and challenging, yet important task. A decision maker normally has to take into consideration a number of alternatives, which often conflict with one another, before reaching a good decision. To cope with the challenges of decision making, decision support systems have been developed to provide assistance in human decision making processes. The key to decision support systems is to collect information/data, analyse the information/data collected, and subsequently make quality and informed decisions. In this aspect, intelligent reasoning and learning techniques have emerged as a powerful approach to solving real-world decision making problems. The main aim of this research handbook is to present a small fraction of techniques stemmed from artificial intelligence, as well as other complementary methodologies, that are useful for developing intelligent decision support systems. In addition, application examples on how the intelligent decision support systems can be deployed to undertake decision making problems in a variety of domains are presented. Among the topics covered in this book include modelling and design of intelligent decision support systems artificial neural networks, genetic algorithm, and fuzzy systems for intelligent decision making case based reasoning and agent-based systems for intelligent decision making application of intelligent decision support systems to business, management, manufacturing, engineering, biomedicine, transportation and food industries | ||
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 edt | |
| 700 | 1 | |a Chee, Peng Lim. |4 edt | |
| 776 | 0 | |t Handbook on Decision Making |b Texte imprimé |z 9783642136382 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-X4X7D60T-V |z Accès sur la plateforme Istex | |
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| 997 | |0 942284 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||