Soft Computing Methods in Human Sciences / Edition 1

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This book considers Soft Computing methods and their applications in the human sciences, such as the social and the behavioral sciences. Soft Computing methods - including fuzzy systems, neural networks, evolutionary computing and probabilistic reasoning - are state-of-the-art methods in theory formation and model construction. The powerful application areas of these methods in the human sciences are demonstrated, including the replacement of statistical models by simpler numerical or linguistic Soft Computing models and the use of computer simulations with approximate and/or linguistic constituents. While using a minimum amount of mathematical notations and formulations, the book concentrates on certain basic logico-methodological issues that demonstrate the major advantages and also the shortcomings of Soft Computing methods.

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Editorial Reviews

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"Dr. Niskanens work opens new vistas in application of soft computing, fuzzy logic and fuzzy set theory to the human sciences. This book is likely to be viewed in retrospect as a landmark in its field" - Lotfi A. Zadeh, University of California, Berkeley.

"Niskanen … breaks new ground in soft computing, and his book is one of just a few studies that focus on soft computing methods and fuzzy logic with respect to applications in the human sciences, namely, the social and behavioral sciences. … Numerous figures and tables provide useful information throughout. Summing Up: Highly recommended. Upper-division undergraduates through faculty." (D. J. Gougeon, CHOICE, April, 2004)

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Product Details

  • ISBN-13: 9783540004660
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 9/29/2003
  • Series: Studies in Fuzziness and Soft Computing Series, #134
  • Edition description: 2004
  • Edition number: 1
  • Pages: 272
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.75 (d)

Table of Contents

1. Towards Novel Methods in the Human Sciences.- 2. Brief Introduction to Fuzzy Set Theory.- 3. Concise Logopedics for Soft Computing Models.- 4. The Approximate Truth about the Degrees of Truth.- 5. Approximate Reasoning.- 6. Quantitative Data Examination.- 7. Soft Computing Models for Complex Systems.- 8. Towards Soft Computing Applications in Qualitative Research.- 9. Conclusions.- List of Figures.- List of Tables.- List of Boxes.- References.

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