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

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

Paperback

Series: Studies in Computational Intelligence, Book 36

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3642071635
ISBN13: 9783642071638
Publisher: Springer Nature
Published: Nov 30 2010
Pages: 367
Weight: 1.18
Height: 0.79 Width: 6.14 Depth: 9.21
Language: English
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.

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General Mathematics