Perception-based Data Mining and Decision Making in Economics and Finance / Edition 1
by Ildar Batyrshin
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
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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.
Product Details
- ISBN-13:
- 9783642071638
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 11/25/2010
- Series:
- Studies in Computational Intelligence Series, #36
- Edition description:
- Softcover reprint of hardcover 1st ed. 2007
- Pages:
- 367
- Product dimensions:
- 0.79(w) x 6.14(h) x 9.21(d)
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 Market.- Possibilistic-Probabilistic Models and Methods of Portfolio.- Optimization.- Towards Graded and Non-graded Variants of Shastic Dominance.- Option Pricing in the Presence of Uncertainty.- Non-Shastic-Model Based Finance Engineering.- Collective Intelligence in Multi-Agent Systems: Inter-bank Payment Systems Application.- Fuzzy Models in Credit Risk Analysis.
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