Perception-based data mining and decision making in economics and finance
著者
書誌事項
Perception-based data mining and decision making in economics and finance
(Studies in computational intelligence, v. 36)
Springer, c2007
大学図書館所蔵 全10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
内容説明・目次
内容説明
The primary goal of this book is to present to the scientific and management communities a selection of applications using more recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve the economics and financial problems. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance. Decision making in the present world is becoming more and more sophisticated, time consuming and difficult for human beings who require more and more computational support. This book addresses the significant increase on research and applications of Soft Computing and Computing with Words and Perceptions for decision making in Economics and Finance in recent years. Decision making is heavily based on information and knowledge usually extracted from the analysis of large amounts of data. Data mining techniques enabled with the capability to integrate human experience could be used for a more realistic business decision support. Computing with Words and Perceptions introduced by Lotfi Zadeh, can serve as a basis for such extension of traditional data mining and decision making systems. Fuzzy logic as a main constituent of CWP gives powerful tools for modeling and processing linguistic information defined on numerical domain.
目次
Data Mining.- Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries.- Moving Approximation Transform and Local Trend Associations in Time Series Data Bases.- Perception Based Patterns in Time Series Data Mining.- Perception-Based Functions in Qualitative Forecasting.- Towards Automated Share Investment System.- Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data.- Invariant Hierarchical Clustering Schemes.- Decision Making.- Fuzzy Components of Cooperative Markets.- Possibilistic-Probabilistic Models and Methods of Portfolio Optimization.- Toward Graded and Nongraded Variants of Stochastic Dominance.- Option Pricing in the Presence of Uncertainty.- Nonstochastic Model-Based Finance Engineering.- Collective Intelligence in Multiagent Systems: Interbank Payment Systems Application.- Fuzzy Models in Credit Risk Analysis.
「Nielsen BookData」 より