Scientific Methods for the Treatment of Uncertainty in Social Sciences, Paper...

$ 63.7

Publication Year: 2015 Language: English Subject: Engineering (General), Intelligence (Ai) & Semantics, Sociology / General, General Item Length: 9.3 in Subject Area: Computers, Technology & Engineering, Social Science Item Weight: 243.6 Oz Item Width: 6.1 in ISBN: 9783319197036 Author: Antonio Terceño-Gómez Format: Trade Paperback Type: Textbook Publication Name: Scientific Methods for the Treatment of Uncertainty in Social Sciences Publisher: Springer International Publishing A&G Series: Advances in Intelligent Systems and Computing Ser. Book Title: Scientific Methods for the Treatment of Uncertainty in Social Sci Number of Pages: Xvi, 444 Pages width: 6.1 in

Description

Scientific Methods for the Treatment of Uncertainty in Social Sciences, Paper.... Th focuses on soft computing theories and their role in assessing uncertainty in a complex world. . Scientific Methods for the Treatment of Uncertainty in Social Sciences, Paperback by Gil-Aluja, Jaime (EDT); Terceño, Antonio (EDT); Comalat, Joan Carles Ferrer (EDT); Merigó, José M. (EDT); Mustaros, Salvador Linares (EDT), ISBN 3319197037, ISBN-13 9783319197036, Brand New, Free shipping in the US 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. Th 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. Th 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.