Overview

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.  

Full Product Details

Author:   Carlos Cruz Corona
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   358
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.557kg
ISBN:  

9783319873008

ISBN 10:   3319873008
Pages:   348
Publication Date:   18 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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. 

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