Overview
- Present theoretical models and practical techniques, systems and applications of cognition-driven Decision Support Systems
- First book to systematically present the theories and technologies of cognitive decision support for Business Intelligence
Part of the book series: Studies in Computational Intelligence (SCI, volume 238)
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Table of contents (11 chapters)
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Front Matter
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Models
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Front Matter
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Systems and Applications
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Front Matter
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Back Matter
Keywords
About this book
Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor.
This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and twoillustrative applications of this system are discussed.
Authors and Affiliations
Bibliographic Information
Book Title: Cognition-Driven Decision Support for Business Intelligence
Book Subtitle: Models, Techniques, Systems and Applications
Authors: Li Niu, Jie Lu, Guangquan Zhang
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-03208-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-03207-3Published: 14 September 2009
Softcover ISBN: 978-3-642-26033-9Published: 04 May 2012
eBook ISBN: 978-3-642-03208-0Published: 30 September 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 237
Topics: Mathematical and Computational Engineering, Business Mathematics, Operations Research/Decision Theory, Artificial Intelligence, IT in Business
Industry Sectors: Aerospace, Automotive, Biotechnology, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Oil, Gas & Geosciences, Telecommunications