大葉大學圖書館 |

Scientific methods for the treatment of uncertainty in social sciences[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	003.54
書名/作者:	Scientific methods for the treatment of uncertainty in social sciences/ edited by Jaime Gil-Aluja ... [et al.].
其他作者:	Gil-Aluja, Jaime.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xvi, 444 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Uncertainty (Information theory)
標題:	Fuzzy logic
標題:	Soft computing
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Methodology of the Social Sciences.
標題:	Societal Aspects of Physics.
ISBN:	9783319197043 (electronic bk.)
ISBN:	9783319197036 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-19704-3

Scientific methods for the treatment of uncertainty in social sciences[electronic resource] /
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 ;v.281..

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:

369777
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Scientific methods for the treatment of uncertainty in social sciences[electronic resource] /
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