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Studies in Managerial and Financial Accounting

Applications of Fuzzy Sets and the Theory of Evidence to Accounting II Vol 7. 52:B&W 6. 14 x 9. 21in or 234 x…
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An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction; and neural networks.
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Studies in Managerial and Financial Accounting als Buch

Produktdetails

Titel: Studies in Managerial and Financial Accounting
Autor/en: Philip Siegel, H. Siegel Philip H. Siegel, Khursheed Omer

ISBN: 0762304170
EAN: 9780762304172
Applications of Fuzzy Sets and the Theory of Evidence to Accounting II Vol 7.
52:B&W 6. 14 x 9. 21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Sprache: Englisch.
Emerald Group Publishing Limited

7. August 1998 - gebunden - 332 Seiten

Beschreibung

An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction; and neural networks.

Inhaltsverzeichnis

Part 1 Methodology: utilizing fuzzy logic in decision making - new frontiers, Kursheed Omer and Andre de Korvin; fuzzy set theory and behavioural models for decision making under ambiguity, Awni Zebda. Part 2 Applying fuzzy-set theory to target costing in the automobile industry, Mohamed E. Bayou and Alan Reinstein; quality contingent replenishment policies under fuzzy demand, Jess S. Boronico; a fuzzy decision support for cost management systems design, Akhilesh Chandra and Surendra Agrawal; knowledge acquisition and the development of decision rules - studying and evaluating internal control structure, Philip H. Siegel, Jerry Strawser and Andre de Korvin. Part 3 Inference: assessment of short term liquidity risk using fuzzy sets, Ashutosh Deshmukh and Sia Nassiripour; a fuzzy set approach to client acceptance decision, Ashutosh Deshmukh, Jeffery Romaine and T.L.N. Tallaru; fuzzy expert systems - the problem of validation, Michelle McEacharn, Awni Zebda and James Calloway; uncertainty handling in accounting expert systems - a comparison of alternative approaches to knowledge representation, Ram S. Sriram and Patrick Wheeler. Part 4 Prediction: modelling ambiguity in both value and demand functions - the applications of fuzzy sets to stochastic modelling under uncertainty, Jess S. Boronico and Robert Kleyle; assessment of capital budgeting sophistication - an application of fuzzy set theory, Pamela H. Church, J. David Spiceland and Carolyn R. George; the audit risk model under the risk of fraud, Saurav Dutta, Keith E. Harrison and Rajendra P. Srivastava; project cost control - a fuzzy logic approach to crashing project activity, Kursheed Omer, Margaret F. Shipley and Andre de Korvin; the peer review process - a fuzzy decision model, Kursheed Omer et al. Part 5 Neural networks: a comparative analysis of artificial network algorithms - application to a bank financial risk model, Ram S. Sriram, R. Srikanth and Roy George; improving artificial neural network performance through input variable selection, Ali Tahai, Steven Walczak and John Rigsby; improved cash flows using neural network models for forecasting foreign rates, Steven Walczak, Ali Tahai and Khondar Karim.
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