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

ISBN-13: 9783642071638 / Angielski / Miękka / 2010 / 367 str.

Ildar Batyrshin; Janusz Kacprzyk; Leonid Sheremetov

Opis

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.

Spis treści

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.

Blurb

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 importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. 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.