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Soft computing for sustainability sc...

Corona, Carlos Cruz.

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Soft computing for sustainability science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing for sustainability science/ edited by Carlos Cruz Corona.
其他作者:	Corona, Carlos Cruz.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xvi, 348 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Soft computing. -
電子資源:	http://dx.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. - 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.358..

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:

563033
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Soft computing for sustainability science
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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.
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