國立虎尾科技大學 |

Integrating Soft Computing into Strategic Prospective Methods = Towards an Adaptive Learning Environment Supported by Futures Studies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Integrating Soft Computing into Strategic Prospective Methods/ by Raúl Trujillo-Cabezas, José Luis Verdegay.
其他題名:	Towards an Adaptive Learning Environment Supported by Futures Studies /
作者:	Trujillo-Cabezas, Raúl.
其他作者:	Verdegay, José Luis.
面頁冊數:	XXII, 230 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Operations Research/Decision Theory. -
電子資源:	https://doi.org/10.1007/978-3-030-25432-2
ISBN:	9783030254322

Integrating Soft Computing into Strategic Prospective Methods = Towards an Adaptive Learning Environment Supported by Futures Studies /
Trujillo-Cabezas, Raúl.

Integrating Soft Computing into Strategic Prospective MethodsTowards an Adaptive Learning Environment Supported by Futures Studies /[electronic resource] :by Raúl Trujillo-Cabezas, José Luis Verdegay. - 1st ed. 2020. - XXII, 230 p.online resource. - Studies in Fuzziness and Soft Computing,3871434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

Introduction -- Strategic Prospective: Definitions and Key Concepts -- Fuzzy Optimization and Reasoning Approaches -- Constructing Models -- Modeling and Simulation of the Future -- Experimental Applications: An Overview of New Ways -- Meta-Prospective Toolbox -- A Cloud Environment: A first demo.

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.

ISBN: 9783030254322

Standard No.: 10.1007/978-3-030-25432-2doiSubjects--Topical Terms:

669176
Operations Research/Decision Theory.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Integrating Soft Computing into Strategic Prospective Methods = Towards an Adaptive Learning Environment Supported by Futures Studies /
LDR:02986nam a22004095i 4500 001 1020568
003 DE-He213
005 20200701223600.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030254322 $9 978-3-030-25432-2
024 7 $a 10.1007/978-3-030-25432-2 $2 doi
035 $a 978-3-030-25432-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Trujillo-Cabezas, Raúl. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316068
245 1 0 $a Integrating Soft Computing into Strategic Prospective Methods $h [electronic resource] : $b Towards an Adaptive Learning Environment Supported by Futures Studies / $c by Raúl Trujillo-Cabezas, José Luis Verdegay.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XXII, 230 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 387
505 0 $a Introduction -- Strategic Prospective: Definitions and Key Concepts -- Fuzzy Optimization and Reasoning Approaches -- Constructing Models -- Modeling and Simulation of the Future -- Experimental Applications: An Overview of New Ways -- Meta-Prospective Toolbox -- A Cloud Environment: A first demo.
520 $a 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.
650 2 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Operations Research, Management Science. $3 785065
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Decision making. $3 528319
650 0 $a Artificial intelligence. $3 559380
650 0 $a Management science. $3 719678
650 0 $a Operations research. $3 573517
650 0 $a Computational intelligence. $3 568984
700 1 $a Verdegay, José Luis. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1283024
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030254315
776 0 8 $i Printed edition: $z 9783030254339
776 0 8 $i Printed edition: $z 9783030254346
830 0 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 319 $3 1253810
856 4 0 $u https://doi.org/10.1007/978-3-030-25432-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)