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Soft computing for sustainability sc...

Corona, Carlos Cruz.

Soft computing for sustainability science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft computing for sustainability scienceedited by Carlos Cruz Corona.
other author:	Corona, Carlos Cruz.
Published:	Cham :Springer International Publishing :2018.
Description:	xvi, 348 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Soft computing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-62359-7
ISBN:	9783319623597$q(electronic bk.)

Soft computing for sustainability science
Soft computing for sustainability science[electronic resource] /edited by Carlos Cruz Corona. - Cham :Springer International Publishing :2018. - xvi, 348 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v.3581434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

Soft Computing techniques and Sustainability Science, an introduction -- Vessels Fuel Consumption: a Data Analytics Perspective to Sustainability -- FuzzyCovering: a Spatial Decision Support System for solving fuzzy covering location problems -- A Fuzzy Location Problem based upon Georeferenced Data -- A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis -- Consumer segmentation through multi-instance clustering time-series energy data from smart meters -- A multicriteria group decision model for ranking technology packages in agriculture -- A Linguistic 2-tuple based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port.

This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.

ISBN: 9783319623597$q(electronic bk.)

Standard No.: 10.1007/978-3-319-62359-7doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Soft computing for sustainability science
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245 0 0 $a Soft computing for sustainability science $h [electronic resource] / $c edited by Carlos Cruz Corona.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvi, 348 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.358
505 0 $a Soft Computing techniques and Sustainability Science, an introduction -- Vessels Fuel Consumption: a Data Analytics Perspective to Sustainability -- FuzzyCovering: a Spatial Decision Support System for solving fuzzy covering location problems -- A Fuzzy Location Problem based upon Georeferenced Data -- A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis -- Consumer segmentation through multi-instance clustering time-series energy data from smart meters -- A multicriteria group decision model for ranking technology packages in agriculture -- A Linguistic 2-tuple based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port.
520 $a This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.
650 0 $a Soft computing. $3 182083
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Sustainability Management. $3 739721
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 274198
650 2 4 $a Sustainable Development. $3 277403
700 1 $a Corona, Carlos Cruz. $3 799513
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.273. $3 558583
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-62359-7
950 $a Engineering (Springer-11647)