Soft computing applications in business
著者
書誌事項
Soft computing applications in business
(Studies in fuzziness and soft computing, v. 230)
Springer, c2008
- : hbk
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
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