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E-book

Title Soft computing applications in business / Bhanu Prasad (ed.)
Published Berlin : Springer, ©2008

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Description 1 online resource (viii, 292 pages) : illustrations
Series Studies in fuzziness and soft computing, 1434-9922 ; v. 230
Studies in fuzziness and soft computing ; v. 230. 1434-9922
Contents Ensembles of Classifiers in Arrears Management -- Bicluster Analysis of Currency Exchange Rates -- Predicting the Effects of Alternative Pricing Strategies in an Artificial Society Undergoing Technology Adoption -- An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification -- The Application of Fuzzy Decision Trees in Company Audit Fee Evaluation: A Sensitivity Analysis -- An Exposition of NCaRBS: Analysis of US Banks and Moody's Bank Financial Strength Rating -- A Clustering Analysis for Target Group Identification by Locality in Motor Insurance Industry -- Probabilistic Sales Forecasting for Small and Medium-Size Business Operations -- User Relevance Feedback Analysis in Text Information Retrieval: A Rough Set Approach -- Opportunistic Scheduling and Pricing Strategies for Automated Contracting in Supply Chains -- Soft Computing in Intelligent Tutoring Systems and Educational Assessment -- A Decision Making System for the Treatment of Dental Caries -- CBR Based Engine for Business Internal Control -- An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting -- Structured Hidden Markov Models: A General Tool for Modeling Agent Behaviors
Summary Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field. The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques. The businesses or business problems addressed in this book include (or very closely related to): analysis of correlations between currency exchange rates, analysis of USA banks and Moody's bank financial strength rating, arrears management, business risk identification, company audit fee evaluation, dental treatments, business internal control, intelligent tutoring systems and educational assessment, modeling agent behavior, motor insurance industry, personal loan defaults, pricing strategies for increasing the market share, pricing strategies in supply chain management, probabilistic sales forecasting, user relevance feedback analysis for online text retrieval, and world crude oil spot price forecasting
Bibliography Includes bibliographical references and index
Notes English
Print version record
In Springer eBooks
Subject Soft computing -- Industrial applications
Decision making -- Data processing
Artificial intelligence.
artificial intelligence.
Ingénierie.
Decision making -- Data processing
Soft computing -- Industrial applications
Form Electronic book
Author Prasad, Bhanu.
ISBN 9783540790051
3540790055
9783540790044
3540790047