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Soft Computing for Sustainability Science

  • Book
  • © 2018

Overview

Editors:
  1. Carlos Cruz Corona

    1. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

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  • Reports on the applications of soft computing methodologies to environmental issues
  • Presents novel solutions to a wide range of real-world problems, with a special focus on sustainability
  • Describes a set of validated methods for decision-making under conditions of uncertainty and little information
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Soft Computing Techniques and Sustainability Science, an Introduction

    • Carlos Cruz Corona
    Pages 1-10

  3. Vessels Fuel Consumption: A Data Analytics Perspective to Sustainability

    • Andrea Coraddu, Luca Oneto, Francesco Baldi, Davide Anguita
    Pages 11-48

  4. FuzzyCovering: A Spatial Decision Support System for Solving Fuzzy Covering Location Problems

    • Virgilio C. Guzmán, David A. Pelta, José Luis Verdegay
    Pages 49-66

  5. A Fuzzy Location Problem Based Upon Georeferenced Data

    • Airam Expósito-Márquez, Christopher Expósito-Izquierdo, Belén Melián-Batista, J. Marcos Moreno-Vega
    Pages 67-86

  6. A Review of the Application to Emergent Subfields in Viticulture of Local Reflectance and Interactance Spectroscopy Combined with Soft Computing and Multivariate Analysis

    • Armando Fernandes, Véronique Gomes, Pedro Melo-Pinto
    Pages 87-115

  7. Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters

    • Alejandro Gómez-Boix, Leticia Arco, Ann Nowé
    Pages 117-136

  8. A Multicriteria Group Decision Model for Ranking Technology Packages in Agriculture

    • Juan Carlos Leyva López, Pavel Anselmo Álvarez Carrillo, Omar Ahumada Valenzuela
    Pages 137-161

  9. Fuzzy Degree of Geographic Appropriateness for Social Impact Investing

    • Vicente Liern, Blanca Pérez-Gladish
    Pages 163-178

  10. A New Approach for Information Dissemination in VANETs Based on Covering Location and Metaheuristics

    • Antonio D. Masegosa, Idoia de la Iglesia, Unai Hernandez-Jayo, Luis Enrique Diez, Alfonso Bahillo, Enrique Onieva
    Pages 179-202

  11. Product Matching to Determine the Energy Efficiency of Used Cars Available at Internet Marketplaces

    • Mario Rivas-Sánchez, Maria P. Guerrero-Lebrero, Elisa Guerrero, Guillermo Bárcena-Gonzalez, Jaime Martel, Pedro L. Galindo
    Pages 203-215

  12. Fault Diagnosis in a Steam Generator Applying Fuzzy Clustering Techniques

    • Adrián Rodríguez Ramos, Rayner Domínguez García, José Luis Verdegay Galdeano, Orestes Llanes Santiago
    Pages 217-234

  13. An Updated Review on Watershed Algorithms

    • R. Romero-Zaliz, J.F. Reinoso-Gordo
    Pages 235-258

  14. An Application Sample of Machine Learning Tools, Such as SVM and ANN, for Data Editing and Imputation

    • Esther-Lydia Silva-Ramírez, Manuel López-Coello, Rafael Pino-Mejías
    Pages 259-298

  15. Multimodal Transport Network Problem: Classical and Innovative Approaches

    • Juliana Verga, Ricardo C. Silva, Akebo Yamakami
    Pages 299-332

  16. A Linguistic 2-Tuple Based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port

    • Yeleny Zulueta, Rosa M. Rodríguez, Luis Martínez
    Pages 333-348
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Keywords

About this book

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.

 

Editors and Affiliations

  • Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    Carlos Cruz Corona

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