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Scientific methods for the treatment...
~
Gil-Aluja, Jaime.
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Scientific methods for the treatment of uncertainty in social sciences
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Scientific methods for the treatment of uncertainty in social sciences/ edited by Jaime Gil-Aluja ... [et al.].
other author:
Gil-Aluja, Jaime.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xvi, 444 p. :ill., digital ;24 cm.
[NT 15003449]:
Decision Making -- Expert Systems and Forgotten Effects Theory -- Forecasting Models -- Fuzzy Logic and Fuzzy Sets -- Modelling and Simulation Techniques -- Neural Networks and Genetic Algorithms -- Optimization and Control.
Contained By:
Springer eBooks
Subject:
Uncertainty (Information theory) -
Online resource:
http://dx.doi.org/10.1007/978-3-319-19704-3
ISBN:
9783319197043 (electronic bk.)
Scientific methods for the treatment of uncertainty in social sciences
Scientific methods for the treatment of uncertainty in social sciences
[electronic resource] /edited by Jaime Gil-Aluja ... [et al.]. - Cham :Springer International Publishing :2015. - xvi, 444 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.3772194-5357 ;. - Advances in intelligent systems and computing ;173..
Decision Making -- Expert Systems and Forgotten Effects Theory -- Forecasting Models -- Fuzzy Logic and Fuzzy Sets -- Modelling and Simulation Techniques -- Neural Networks and Genetic Algorithms -- Optimization and Control.
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.
ISBN: 9783319197043 (electronic bk.)
Standard No.: 10.1007/978-3-319-19704-3doiSubjects--Topical Terms:
587701
Uncertainty (Information theory)
LC Class. No.: Q375
Dewey Class. No.: 003.54
Scientific methods for the treatment of uncertainty in social sciences
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Decision Making -- Expert Systems and Forgotten Effects Theory -- Forecasting Models -- Fuzzy Logic and Fuzzy Sets -- Modelling and Simulation Techniques -- Neural Networks and Genetic Algorithms -- Optimization and Control.
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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.
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Engineering (Springer-11647)
based on 0 review(s)
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W9273382
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EB Q375 .S416 2015
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