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Exploring Intelligent Decision Support Systems [electronic resource] : Current State and New Trends / edited by Rafael Valencia-García, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate, Giner Alor-Hernández.

Contributor(s): Valencia-García, Rafael [editor.] | Paredes-Valverde, Mario Andrés [editor.] | Salas-Zárate, María del Pilar [editor.] | Alor-Hernández, Giner [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 764Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXIV, 238 p. 76 illus., 62 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319740027.Subject(s): Computational intelligence | Artificial intelligence | Operations research | Computational Intelligence | Artificial Intelligence | Operations Research and Decision TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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