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Exploring intelligent decision suppo...

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Exploring intelligent decision support systemscurrent state and new trends /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring intelligent decision support systemsedited by Rafael Valencia-Garcia ... [et al.].
其他題名:	current state and new trends /
其他作者:	Valencia-Garcia, Rafael.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xxiv, 238 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Decision support systems.
電子資源:	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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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.
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