Exploring Intelligent Decision Support Systems - Current State and New Trends

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.

List of contents

FINALGRANT: A Financial Linked Data Graph Analysis and Recommendation Tool.- Constructing and Interrogating Actor Histories.- Challenges in the Design of Decision Support Systems for Port and Maritime Supply Chains.- Analyzing the Impact of a Decision Support System on a Medium Sized Apparel Company.- A Multicriteria Decision Support System Framework for Computer Selection.- An Agent-Based Memetic Algorithm for Solving Three-Level Freight Distribution Problems.

Summary

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.

Product details

• Assisted by: Giner Alor-Hernández (Editor), Mari Andrés Paredes-Valverde (Editor), Mario Andrés Paredes-Valverde (Editor), del Pilar Salas-Zár (Editor), Mario Andrés Paredes-Valverde (Editor), María del Pilar Salas-Zárate (Editor), Rafael Valencia-García (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2018
• EAN: 9783319740010
• ISBN: 978-3-31-974001-0
• No. of pages: 238
• Dimensions: 162 mm x 243 mm x 19 mm
• Weight: 556 g
• Illustrations: XXIV, 238 p. 76 illus., 62 illus. in color.
• Series: Studies in Computational Intelligence; Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Operations Research, B, Artificial Intelligence, Management: Entscheidungstheorie, engineering, Operations Research/Decision Theory, Operations Research and Decision Theory, Management decision making, Operational research, Decision Making, Computational Intelligence