The book focuses on applications of belief functions to business
decisions. Section I introduces the intuitive, conceptual and
historical development of belief functions. Three different
interpretations (the marginally correct approximation, the
qualitative model, and the quantitative model) of belief functions
are investigated, and rough set theory and structured query
language (SQL) are used to express belief function semantics.
Section II presents applications of belief functions in information
systems and auditing. Included are discussions on how a
belief-function framework provides a more efficient and effective
audit methodology and also the appropriateness of belief functions
to represent uncertainties in audit evidence. The third section
deals with applications of belief functions to mergers and
acquisitions; financial analysis of engineering enterprises;
forecast demand for mobile satellite services; modeling financial
portfolios; and economics.
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