Perception-based Data Mining and Decision Making in Economics and Finance

The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importanc...

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Bibliographic Details
Other Authors: Batyrshin, Ildar (Editor), Sheremetov, Leonid (Editor), Zadeh, Lofti A. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2007, 2007
Edition:1st ed. 2007
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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