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Exploring Intelligent Decision Support Systems

Current State and New Trends

  • Book
  • © 2018

Overview

Editors:
  1. Rafael Valencia-García

    1. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

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  2. Mario Andrés Paredes-Valverde

    1. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

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  3. María del Pilar Salas-Zárate

    1. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

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  4. Giner Alor-Hernández

    1. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Orizaba, Mexico

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  • Introduces innovative intelligent approaches, methods, models and systems to effectively support decision-making in different fields
  • Presents real-world and original research work
  • Describes the state-of-art in the field

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Decision Support Systems for Industry

    1. Front Matter

      Pages 1-1
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    2. FINALGRANT: A Financial Linked Data Graph Analysis and Recommendation Tool

      • José Luis Sánchez-Cervantes, Giner Alor-Hernández, María del Pilar Salas-Zárate, Jorge Luis García-Alcaraz, Lisbeth Rodríguez-Mazahua
      Pages 3-26

    3. Constructing and Interrogating Actor Histories

      • Tony Clark, Vinay Kulkarni, Souvik Barat, Balbir Barn
      Pages 27-47

    4. Challenges in the Design of Decision Support Systems for Port and Maritime Supply Chains

      • Julio Mar-Ortiz, María D. Gracia, Norberto Castillo-García
      Pages 49-71

    5. Analyzing the Impact of a Decision Support System on a Medium Sized Apparel Company

      • Ebru Gökalp, Mert Onuralp Gökalp, P. Erhan Eren
      Pages 73-87

    6. A Multicriteria Decision Support System Framework for Computer Selection

      • Jorge Luis García-Alcaraz, Valeria Martínez-Loya, Roberto Díaz-Reza, Liliana Avelar Sosa, Ismael Canales Valdiviezo
      Pages 89-110

    7. An Agent-Based Memetic Algorithm for Solving Three-Level Freight Distribution Problems

      • 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
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    2. DiabSoft: A System for Diabetes Prevention, Monitoring, and Treatment

      • Nancy Aracely Cruz-Ramos, Giner Alor-Hernández, José Luis Sánchez-Cervantes, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate
      Pages 135-154

    3. Health Monitor: An Intelligent Platform for the Monitorization of Patients of Chronic Diseases

      • José Medina-Moreira, Oscar Apolinario, Mario Andrés Paredes-Valverde, Katty Lagos-Ortiz, Harry Luna-Aveiga, Rafael Valencia-García
      Pages 155-175

    4. Reliable and Smart Decision Support System for Emergency Management Based on Crowdsourcing Information

      • Karina Villela, Claudia Nass, Renato Novais, Paulo Simões Jr., Agma Traina, Jose Rodrigues Jr. et al.
      Pages 177-198

    5. Intelligent Decision Support for Unconventional Emergencies

      • Sarika Jain
      Pages 199-219

    6. Information Technology in City Logistics: A Decision Support System for Off-Hour Delivery Programs

      • Juan Pablo Castrellón-Torres, José Sebastián Talero Chaparro, Néstor Eliécer Manosalva Barrera, Jairo Humberto Torres Acosta, Wilson Adarme Jaimes
      Pages 221-238
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Keywords

About this book

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.

Editors and Affiliations

  • Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate

  • Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Orizaba, Mexico

    Giner Alor-Hernández

Bibliographic Information

  • Book Title: Exploring Intelligent Decision Support Systems

  • Book Subtitle: Current State and New Trends

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

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-74002-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-74001-0Published: 19 February 2018

  • Softcover ISBN: 978-3-319-89266-5Published: 07 June 2019

  • eBook ISBN: 978-3-319-74002-7Published: 07 February 2018

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXIV, 238

  • Number of Illustrations: 14 b/w illustrations, 62 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory

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