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Title Perception-based data mining and decision making in economics and finance / Ildar Batyrshin [and others] (eds.).
Imprint Berlin ; New York : Springer, 2007.

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Series Studies in computational intelligence, 1860-949X ; v. 36
Studies in computational intelligence ; v. 36. 1860-949X
Subject Economics -- Decision making -- Data processing.
Finance -- Decision making -- Data processing.
Data mining.
Information storage and retrieval systems -- Economic aspects.
Information storage and retrieval systems -- Finance.
Alt Name Batyrshin, I. Z. (Ilʹdar Zakirzi︠a︡novich)
Description 1 online resource (xvi, 367 pages) : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references.
Contents Cover -- Contents -- Precisiated Natural Language (PNL) -- 1. 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 -- 2. 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 -- Last Page.
Summary 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.
Note Print version record.
ISBN 9783540362470
3540362444 (hardcover ; alk. paper)
9783540362449 (hardcover ; alk. paper)
9783540362449 (hardcover ; alk. paper)
OCLC # 184984824
Additional Format Print version: Perception-based data mining and decision making in economics and finance. Berlin ; New York : Springer, 2007 9783540362449 3540362444 (DLC) 2006939141 (OCoLC)122260031

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