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Exploring intelligent decision suppo...

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Exploring intelligent decision support systemscurrent state and new trends /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring intelligent decision support systemsedited by Rafael Valencia-Garcia ... [et al.].
Reminder of title:	current state and new trends /
other author:	Valencia-Garcia, Rafael.
Published:	Cham :Springer International Publishing :2018.
Description:	xxiv, 238 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Decision support systems.
Online resource:	http://dx.doi.org/10.1007/978-3-319-74002-7
ISBN:	9783319740027$q(electronic bk.)

Exploring intelligent decision support systemscurrent state and new trends /
Exploring intelligent decision support systemscurrent state and new trends /[electronic resource] :edited by Rafael Valencia-Garcia ... [et al.]. - Cham :Springer International Publishing :2018. - xxiv, 238 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7641860-949X ;. - Studies in computational intelligence ;v. 216..

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.

ISBN: 9783319740027$q(electronic bk.)

Standard No.: 10.1007/978-3-319-74002-7doiSubjects--Topical Terms:

184400
Decision support systems.

LC Class. No.: T58.62

Dewey Class. No.: 658.403

Exploring intelligent decision support systemscurrent state and new trends /
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245 0 0 $a Exploring intelligent decision support systems $h [electronic resource] : $b current state and new trends / $c edited by Rafael Valencia-Garcia ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxiv, 238 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.764
505 0 $a 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.
520 $a 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.
650 0 $a Decision support systems. $3 184400
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Operations Research/Decision Theory. $3 273963
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830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
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950 $a Engineering (Springer-11647)