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Titlebook: Exploring Intelligent Decision Support Systems; Current State and Ne Rafael Valencia-García,Mario Andrés Paredes-Valver Book 2018 Springer

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發(fā)表于 2025-3-21 16:15:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Exploring Intelligent Decision Support Systems
副標(biāo)題Current State and Ne
編輯Rafael Valencia-García,Mario Andrés Paredes-Valver
視頻videohttp://file.papertrans.cn/321/320319/320319.mp4
概述Introduces innovative intelligent approaches, methods, models and systems to effectively support decision-making in different fields.Presents real-world and original research work.Describes the state-
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Exploring Intelligent Decision Support Systems; Current State and Ne Rafael Valencia-García,Mario Andrés Paredes-Valver Book 2018 Springer
描述.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..
出版日期Book 2018
關(guān)鍵詞IDSS; Business Intelligence; Semantic Web; Big Data; Data Mining; Social Media
版次1
doihttps://doi.org/10.1007/978-3-319-74002-7
isbn_softcover978-3-319-89266-5
isbn_ebook978-3-319-74002-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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https://doi.org/10.1007/978-3-0348-6117-5nological), and distinguish the gaps and tendencies of future developments in this industrial domain. We believe that the following DSS in the context of maritime transport will take advantage of the theoretical development of collaborative systems, data analytics and robustness to ease decision mak
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https://doi.org/10.1007/978-3-322-85917-4e attributes—brand prestige and after-sales service. Our findings demonstrate that our AHP-TOPSIS approach is friendly to users, especially to non-expert users, since they can perform the evaluation process on their own.
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