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Belief Functions in Business Decisions
Belief Functions in Business Decisions
Knygos.lt klubas Knygos.lt nariams
258,36 €
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369,09 €
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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 informat…
  • Leidėjas:
  • Metai: 2010
  • Puslapiai: 345
  • ISBN-10: 3790825034
  • ISBN-13: 9783790825039
  • Formatas: 15.6 x 23.4 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

Belief Functions in Business Decisions (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Leidėjas:
  • Metai: 2010
  • Puslapiai: 345
  • ISBN-10: 3790825034
  • ISBN-13: 9783790825039
  • Formatas: 15.6 x 23.4 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

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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