Soft Computing Methods in Human Sciences

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 form...

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Bibliographic Details
Main Author: Niskanen, Vesa A.
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004, 2004
Edition:1st ed. 2004
Series:Studies in Fuzziness and Soft Computing
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Soft Computing Methods in Human Sciences  |h Elektronische Ressource  |c by Vesa A Niskanen 
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505 0 |a 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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653 |a Computational and Systems Biology 
653 |a Mathematical logic 
653 |a Computer simulation 
653 |a Computer Modelling 
653 |a Information visualization 
653 |a Sociology 
653 |a Engineering / Data processing 
653 |a Mathematical Logic and Foundations 
653 |a Data and Information Visualization 
653 |a Mathematical and Computational Engineering Applications 
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520 |a 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