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

1. Front Matter

   Pages i-33

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2. Data Mining

   1. Front Matter

      Pages 36-36

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   2. Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries

      • Janusz Kacprzyk, Slawomir Zadrozny

      Pages 37-54

   3. Moving Approximation Transform and Local Trend Associations in Time Series Data Bases

      • Ildar Batyrshin, Raul Herrera-Avelar, Leonid Sheremetov, Aleksandra Panova

      Pages 55-83

   4. Perception Based Patterns in Time Series Data Mining

      • Ildar Batyrshin, Leonid Sheremetov, Raul Herrera-Avelar

      Pages 85-118

   5. Perception-Based Functions in Qualitative Forecasting

      • Ildar Batyrshin, Leonid Sheremetov

      Pages 119-134

   6. Towards Automated Share Investment System

      • Dymitr Ruta

      Pages 135-153

   7. Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data

      • Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey et al.

      Pages 155-179

   8. Invariant Hierarchical Clustering Schemes

      • Ildar Batyrshin, Tamas Rudas

      Pages 181-206

3. Decision Making

   1. Front Matter

      Pages 208-208

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   2. Fuzzy Components of Cooperative Markets

      • Milan Mareš

      Pages 209-239

   3. Possibilistic–Probabilistic Models and Methods of Portfolio Optimization

      • Alexander V. Yazenin

      Pages 241-259

   4. Toward Graded and Nongraded Variants of Stochastic Dominance

      • Bernard De Baets, Hans De Meyer

      Pages 261-274

   5. Option Pricing in the Presence of Uncertainty

      • Silvia Muzzioli, Huguette Reynaerts

      Pages 275-301

   6. Nonstochastic Model-Based Finance Engineering

      • Toshihiro Kaino, Kaoru Hirota

      Pages 303-330

   7. Collective Intelligence in Multiagent Systems: Interbank Payment Systems Application

      • Luis Rocha-Mier, Leonid Sheremetov, Francisco Villarreal

      Pages 331-351

   8. Fuzzy Models in Credit Risk Analysis

      • Antonio Carlos Pinto Dias Alves

      Pages 353-367

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.

• calculus
• classification
• clustering
• collective intelligence
• data mining
• decision support
• decision support system
• decision tree
• fuzzy
• intelligence
• natural language
• optimization
• perception
• time series analysis
• uncertainty

• Mexican Petroleum Institute, Mexico, Mexico

  Ildar Batyrshin, Leonid Sheremetov

• Institute of Problems of Informatics, Academy of Sciences of Tatarstan, Russia

  Ildar Batyrshin

• Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

  Janusz Kacprzyk

• St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, Russia

  Leonid Sheremetov

• Computer Science Division, University of California, Berkeley, USA

  Lotfi A. Zadeh

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