Soft Computing Applications in Business

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Prasad, Bhanu (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Fuzziness and Soft Computing, 230
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

 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. 

 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.