Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies: 387 - Rilegato

Libro 153 di 183: Studies in Fuzziness and Soft Computing

Trujillo-Cabezas, Raśl; Verdegay, José Luis

 
9783030254315: Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies: 387
Rilegato
ISBN 10: 3030254313 ISBN 13: 9783030254315
Casa editrice: Springer-Nature New York Inc, 2019

Sinossi

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
3030254313
ISBN 13 
9783030254315
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
230
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9783030254346: Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies: 387

Edizione in evidenza

ISBN 10:  3030254348 ISBN 13:  9783030254346
Casa editrice: Springer, 2020
Brossura