Exploring Intelligent Decision Support Systems

Current State and New Trends

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Exploring Intelligent Decision Support Systems by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319740027
Publisher: Springer International Publishing Publication: February 7, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319740027
Publisher: Springer International Publishing
Publication: February 7, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Time-of-Flight and Structured Light Depth Cameras by
Cover of the book Connecting Women by
Cover of the book Higher Education and Regional Development by
Cover of the book The Immediacy of Mystical Experience in the European Tradition by
Cover of the book Isolation and Molecular Characterization of Circulating Tumor Cells by
Cover of the book Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects by
Cover of the book Educational Robotics in the Makers Era by
Cover of the book Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by
Cover of the book Alien Encounter by
Cover of the book Dermatology Simplified by
Cover of the book The Failing Right Heart by
Cover of the book Theory and Practice of Natural Computing by
Cover of the book Some Aspects of the Formation of the Solar System by
Cover of the book Brazilian Evangelicalism in the Twenty-First Century by
Cover of the book The Political Economy of Russian Aluminium by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy