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 two illustrative applications of this system are
discussed."
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