| 书目名称 | Integrating Soft Computing into Strategic Prospective Methods |
| 副标题 | Towards an Adaptive |
| 编辑 | Raúl Trujillo-Cabezas,José Luis Verdegay |
| 视频video | |
| 概述 | Presents a novel framework for using soft computing for future studies.Describes a set of methods aimed at reducing uncertainty, thus improving the inference process.Offers strategies to merge qualita |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | .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. . |
| 出版日期 | Book 2020 |
| 关键词 | Fuzzy Optimization Models; Fuzzy Decision Making; Extended Prospective Model; Fuzzy Reasoning; Fuzzy Inf |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-25432-2 |
| isbn_softcover | 978-3-030-25434-6 |
| isbn_ebook | 978-3-030-25432-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 17:55:03
