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Soft Computing Methods in Human Sciences

✍ Scribed by Ph.D. Vesa A. Niskanen (auth.)

Publisher
Springer-Verlag Berlin Heidelberg
Year
2004
Tongue
English
Leaves
285
Series
Studies in Fuzziness and Soft Computing 134
Edition
1
Category
Library
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✦ Synopsis

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 linguistic constituents.

"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, Berkeley.

✦ Table of Contents

Front Matter....Pages I-XV
Towards Novel Methods in the Human Sciences....Pages 1-13
Brief Introduction to Fuzzy Set Theory....Pages 14-34
Concise Logopedics for SC Models....Pages 35-48
The Approximate Truth about the Degrees of Truth....Pages 49-62
Approximate Reasoning....Pages 63-83
Quantitative Data Examination....Pages 84-197
Soft Computing Models for Complex Systems....Pages 198-236
Towards Soft Computing Applications in Qualitative Research....Pages 237-248
Conclusions....Pages 249-251
Back Matter....Pages 252-272

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Simulation and Modeling; Computer Appl. in Life Sciences; Visualization; Social Sciences, general

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