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Titlebook: Belief Functions in Business Decisions; Rajendra P. Srivastava (Ernst & Young Professor an Book 2002 Physica-Verlag Heidelberg 2002 Audit.

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发表于 2025-3-21 16:06:10 | 显示全部楼层 |阅读模式
期刊全称Belief Functions in Business Decisions
影响因子2023Rajendra P. Srivastava (Ernst & Young Professor an
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发行地址Introduction into the concept of belief functions.- Applications in information systems, auditing, and mergers and acquisitions.Includes supplementary material:
学科分类Studies in Fuzziness and Soft Computing
图书封面Titlebook: Belief Functions in Business Decisions;  Rajendra P. Srivastava (Ernst & Young Professor an Book 2002 Physica-Verlag Heidelberg 2002 Audit.
影响因子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.
Pindex Book 2002
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发表于 2025-3-21 23:12:28 | 显示全部楼层
Jorge Alberto Achcar,Jose Carlos Fogoate probability function must be explained and justified. This probability function does not represent a state of belief, it is just the additive measure needed to compute the expected utilities. Other models of decision making when beliefs are represented by belief functions have also been suggeste
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Industrial Assistance in Pre-War Britain,babilities. This study examines the question of expressing the support provided by audit evidence empirically. Auditors are asked to express the level of support that evidence provides for or against an assertion or account and the ignorance that remains about the assertion or account after consider
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https://doi.org/10.1007/978-3-030-36660-5illustrative examples. Axioms for conflict in the context of its intended use are given, and it is argued that dissonance may be the conflict measure that fits them most closely. Finally, a method is given for using conflict to decide which of a set of beliefs to retract (or discount).
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Decision Making in a Context where Uncertainty is Represented by Belief Functionsate probability function must be explained and justified. This probability function does not represent a state of belief, it is just the additive measure needed to compute the expected utilities. Other models of decision making when beliefs are represented by belief functions have also been suggeste
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Auditors’ Evaluations of Uncertain Audit Evidence: Belief Functions versus Probabilitiesbabilities. This study examines the question of expressing the support provided by audit evidence empirically. Auditors are asked to express the level of support that evidence provides for or against an assertion or account and the ignorance that remains about the assertion or account after consider
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Introduction to Belief Functionsrtainly. The main body of the chapter is an introduction to Belief Functions. The introduction includes a discussion of the fundamental constructs and then illustrates the use of belief functions in a business (audit) setting.
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