Overview
- Recent research on uncertainty in social sciences
- Written by experts in the field
- Presents Scientific methods for the treatment of uncertainty in social sciences
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 377)
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Table of contents (34 papers)
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Front Matter
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Decision Making
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Front Matter
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Expert Systems and Forgotten Effects Theory
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Front Matter
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Forecasting Models
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Front Matter
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Fuzzy Logic and Fuzzy Sets
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Front Matter
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Keywords
About this book
This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015.
This edition of the conference has been presented with the slogan “Scientific methods for the treatment of uncertainty in social sciences”. There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world.
It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.
Editors and Affiliations
Bibliographic Information
Book Title: Scientific Methods for the Treatment of Uncertainty in Social Sciences
Editors: Jaime Gil-Aluja, Antonio Terceño-Gómez, Joan Carles Ferrer-Comalat, José M. Merigó-Lindahl, Salvador Linares-Mustarós
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-19704-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-19703-6Published: 29 June 2015
eBook ISBN: 978-3-319-19704-3Published: 17 June 2015
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVI, 444
Number of Illustrations: 96 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Methodology of the Social Sciences, Societal Aspects of Physics, Outreach and Education