Exploring Intelligent Decision Support Systems

Current State and New Trends

  • Rafael Valencia-García
  • Mario Andrés Paredes-Valverde
  • María del Pilar Salas-Zárate
  • Giner Alor-Hernández

Part of the Studies in Computational Intelligence book series (SCI, volume 764)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Decision Support Systems for Industry

    1. Front Matter
      Pages 1-1
    2. José Luis Sánchez-Cervantes, Giner Alor-Hernández, María del Pilar Salas-Zárate, Jorge Luis García-Alcaraz, Lisbeth Rodríguez-Mazahua
      Pages 3-26
    3. Tony Clark, Vinay Kulkarni, Souvik Barat, Balbir Barn
      Pages 27-47
    4. Julio Mar-Ortiz, María D. Gracia, Norberto Castillo-García
      Pages 49-71
    5. Ebru Gökalp, Mert Onuralp Gökalp, P. Erhan Eren
      Pages 73-87
    6. Jorge Luis García-Alcaraz, Valeria Martínez-Loya, Roberto Díaz-Reza, Liliana Avelar Sosa, Ismael Canales Valdiviezo
      Pages 89-110
    7. Conrado Augusto Serna-Urán, Martín Darío Arango-Serna, Julián Andrés Zapata-Cortés, Cristian Giovanny Gómez-Marín
      Pages 111-131
  3. Case Studies: Clinical, Emergency Management and Pollution Control

    1. Front Matter
      Pages 133-133
    2. Nancy Aracely Cruz-Ramos, Giner Alor-Hernández, José Luis Sánchez-Cervantes, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate
      Pages 135-154
    3. José Medina-Moreira, Oscar Apolinario, Mario Andrés Paredes-Valverde, Katty Lagos-Ortiz, Harry Luna-Aveiga, Rafael Valencia-García
      Pages 155-175
    4. Karina Villela, Claudia Nass, Renato Novais, Paulo Simões Jr., Agma Traina, Jose Rodrigues Jr. et al.
      Pages 177-198
    5. Juan Pablo Castrellón-Torres, José Sebastián Talero Chaparro, Néstor Eliécer Manosalva Barrera, Jairo Humberto Torres Acosta, Wilson Adarme Jaimes
      Pages 221-238

About this book

Introduction

This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions.

The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.

Keywords

IDSS Business Intelligence Semantic Web Big Data Data Mining Social Media

Editors and affiliations

  • Rafael Valencia-García
    • 1
  • Mario Andrés Paredes-Valverde
    • 2
  • María del Pilar Salas-Zárate
    • 3
  • Giner Alor-Hernández
    • 4
  1. 1.Departamento de Informática y Sistemas, Facultad de InformáticaUniversidad de MurciaMurciaSpain
  2. 2.Departamento de Informática y Sistemas, Facultad de InformáticaUniversidad de MurciaMurciaSpain
  3. 3.Departamento de Informática y Sistemas, Facultad de InformáticaUniversidad de MurciaMurciaSpain
  4. 4.Division of Research and Postgraduate StudiesInstituto Tecnológico de OrizabaOrizabaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-74002-7
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-74001-0
  • Online ISBN 978-3-319-74002-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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