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Soft computing and fuzzy methodologies in innovation management and sustainability

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing and fuzzy methodologies in innovation management and sustainabilityedited by Ernesto Leon-Castro ... [et al.].
其他作者:	Leon-Castro, Ernesto.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 379 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Soft computing.
電子資源:	https://doi.org/10.1007/978-3-030-96150-3
ISBN:	9783030961503$q(electronic bk.)

Soft computing and fuzzy methodologies in innovation management and sustainability
Soft computing and fuzzy methodologies in innovation management and sustainability[electronic resource] /edited by Ernesto Leon-Castro ... [et al.]. - Cham :Springer International Publishing :2022. - xvii, 379 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 3372367-3389 ;. - Lecture notes in networks and systems ;v.1..

Ranking of Innovation and Sustainability of Tourist Destinations in Sinaloa: An Analysis with the Ordered Weighted Average Operator -- Dimensional Analysis under Pythagorean Fuzzy Set with Hesitant Linguists Term Entropy Information -- Conditions of Technology Access for Remote Work in the Quaternary Sector in Mexico in Times of COVID-19.

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.

ISBN: 9783030961503$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96150-3doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63 / S64 2022

Dewey Class. No.: 006.3

Soft computing and fuzzy methodologies in innovation management and sustainability
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490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 337
505 0 $a Ranking of Innovation and Sustainability of Tourist Destinations in Sinaloa: An Analysis with the Ordered Weighted Average Operator -- Dimensional Analysis under Pythagorean Fuzzy Set with Hesitant Linguists Term Entropy Information -- Conditions of Technology Access for Remote Work in the Quaternary Sector in Mexico in Times of COVID-19.
520 $a This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.
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650 0 $a Fuzzy logic. $3 181981
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