Integrating Soft Computing into Strategic Prospective Methods

This PDF book is become immediate popular in Technology & Engineering genre. Integrating Soft Computing into Strategic Prospective Methods is written by famous author Raúl Trujillo-Cabezas and Ready to Download in ePUB, PDF or Kindle formats. Released by Springer Nature in 2019-08-28. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Integrating Soft Computing into Strategic Prospective Methods book.

Integrating Soft Computing into Strategic Prospective Methods
Author :
Publisher : Springer Nature
Release Date :
ISBN : 9783030254322
Pages : 230 pages
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Integrating Soft Computing into Strategic Prospective Methods by Raúl Trujillo-Cabezas Book PDF Summary

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.


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