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Soft Computing for Sustainability Science

  • Carlos Cruz Corona

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 358)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Andrea Coraddu, Luca Oneto, Francesco Baldi, Davide Anguita
    Pages 11-48
  3. Virgilio C. Guzmán, David A. Pelta, José Luis Verdegay
    Pages 49-66
  4. Airam Expósito-Márquez, Christopher Expósito-Izquierdo, Belén Melián-Batista, J. Marcos Moreno-Vega
    Pages 67-86
  5. Juan Carlos Leyva López, Pavel Anselmo Álvarez Carrillo, Omar Ahumada Valenzuela
    Pages 137-161
  6. Vicente Liern, Blanca Pérez-Gladish
    Pages 163-178
  7. Antonio D. Masegosa, Idoia de la Iglesia, Unai Hernandez-Jayo, Luis Enrique Diez, Alfonso Bahillo, Enrique Onieva
    Pages 179-202
  8. Mario Rivas-Sánchez, Maria P. Guerrero-Lebrero, Elisa Guerrero, Guillermo Bárcena-Gonzalez, Jaime Martel, Pedro L. Galindo
    Pages 203-215
  9. Adrián Rodríguez Ramos, Rayner Domínguez García, José Luis Verdegay Galdeano, Orestes Llanes Santiago
    Pages 217-234
  10. R. Romero-Zaliz, J.F. Reinoso-Gordo
    Pages 235-258
  11. Esther-Lydia Silva-Ramírez, Manuel López-Coello, Rafael Pino-Mejías
    Pages 259-298
  12. Juliana Verga, Ricardo C. Silva, Akebo Yamakami
    Pages 299-332

About this book

Introduction

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. 

 

Keywords

Global Temperature Rise Intelligent Systems for Sustainable Development Environmental Impact Assessment Energy Efficiency Multimodal Transport Systems Sustainable Shipping Covering Location Problems Multivariate Analysis of Spectroscopic Data Multi-instance Clustering Consumer Clustering Problem Fuzzy Outranking Methods Preference Disaggregation Social Impact Investment Determining Watersheds Image Segmentation Estimating Missing Data Linguistic Hierarchies Gray-box Models Fuzzy Indicators Watershed Identification

Editors and affiliations

  • Carlos Cruz Corona
    • 1
  1. 1.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62359-7
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-62358-0
  • Online ISBN 978-3-319-62359-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site