Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Handbook on Decision Making (eBook)

Vol 1: Techniques and Applications

Chee Peng Lim (Herausgeber)

eBook Download: PDF
2010 | 2010
XIII, 532 Seiten
Springer Berlin (Verlag)
978-3-642-13639-9 (ISBN)

Lese- und Medienproben

Handbook on Decision Making -
Systemvoraussetzungen
341,33 inkl. MwSt
(CHF 329,95)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.

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.

Erscheint lt. Verlag 7.9.2010
Reihe/Serie Intelligent Systems Reference Library
Intelligent Systems Reference Library
Zusatzinfo XIII, 532 p.
Verlagsort Berlin
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Technik
Schlagworte Agents • Artificial Intelligence • Artificial Neural Network • Case-Based Reasoning • Computational Intelligence • Decision Making • Development • fuzzy • Intelligent Decision Making • learning • Management • Model • Modeling • neural network • Systems Engineering • Transport
ISBN-10 3-642-13639-7 / 3642136397
ISBN-13 978-3-642-13639-9 / 9783642136399
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 12,3 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich