國立虎尾科技大學 |

Soft Computing for Sustainability Science

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Soft Computing for Sustainability Science/ edited by Carlos Cruz Corona.
other author:	Cruz Corona, Carlos.
Description:	XVI, 348 p. 83 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-62359-7
ISBN:	9783319623597

Soft Computing for Sustainability Science
Soft Computing for Sustainability Science[electronic resource] /edited by Carlos Cruz Corona. - 1st ed. 2018. - XVI, 348 p. 83 illus., 32 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3581434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Computing for Sustainability Science
LDR:03117nam a22004095i 4500 001 998825
003 DE-He213
005 20200702182849.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319623597 $9 978-3-319-62359-7
024 7 $a 10.1007/978-3-319-62359-7 $2 doi
035 $a 978-3-319-62359-7
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
245 1 0 $a Soft Computing for Sustainability Science $h [electronic resource] / $c edited by Carlos Cruz Corona.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XVI, 348 p. 83 illus., 32 illus. in color. $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 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 Computational intelligence. $3 568984
650 0 $a Industrial management—Environmental aspects. $3 1255544
650 0 $a Artificial intelligence. $3 559380
650 0 $a Calculus of variations. $3 527927
650 0 $a Sustainable development. $3 556594
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Sustainability Management. $3 1104802
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 593942
650 2 4 $a Sustainable Development. $3 679787
700 1 $a Cruz Corona, Carlos. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1286450
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319623580
776 0 8 $i Printed edition: $z 9783319623603
776 0 8 $i Printed edition: $z 9783319873008
830 0 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 319 $3 1253810
856 4 0 $u https://doi.org/10.1007/978-3-319-62359-7
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)