Soft Computing Applications in Business
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...
| Corporate Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
| Series: | Studies in Fuzziness and Soft Computing,
230 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of 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.
