Exploring Intelligent Decision Support Systems

Rafael Valencia-García

ISBN 10: 3319892665 / ISBN 13: 9783319892665

Editore: Springer International Publishing, Springer International Publishing Jun 2019, 2019

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch.

Codice articolo 9783319892665

Dati bibliografici

• Titolo: Exploring Intelligent Decision Support Systems
• Editore: Springer International Publishing, Springer International Publishing Jun 2019
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3319892665
• ISBN 13: 9783319892665
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.