Electronic Resource

Algorithms in Decision Support Systems

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This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book.

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Detail Information

Series Title

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Call Number

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Publisher

Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2021

Collation

162 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783036505893

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

History of engineering and technology

Specific Detail Info

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Statement of Responsibility

García-Díaz, Vicente (editor)

Other Information

Cataloger

ida

Source

https://directory.doabooks.org/handle/20.500.12854/68493

Validator

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Digital Object Identifier (DOI)

10.3390/books978-3-0365-0589-3

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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