Belief Functions in Business Decisions

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Srivastava, Rajendra P. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mock, Theodore J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Studies in Fuzziness and Soft Computing, 88
• Θέματα: Operations research.; Decision making.; Information technology.; Business-Data processing.; Accounting.; Bookkeeping .; Artificial intelligence.; Economic theory.; Operations Research/Decision Theory.; IT in Business.; Accounting/Auditing.; Artificial Intelligence.; Economic Theory/Quantitative Economics/Mathematical Methods.

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 beli...

Πίνακας περιεχομένων:

• Foundations
• to Belief Functions
• Decision Making in a Context where Uncertainty is Represented by Belief Functions
• Empirical Models for the Dempster-Shafer-Theory
• Systems and Auditing Applications
• The Descriptive Ability of Models of Audit Risk
• The Effectiveness and Efficiency of Belief Based Audit Procedures
• Auditors' Evaluations of Uncertain Audit Evidence: Belief Functions versus Probabilities
• Conflict, Consistency and Consonance in Belief Functions: Coherence and Integrity of Belief Systems
• Operations Management, Finance and Economics Applications
• Evaluating Mergers and Acquisitions: A Belief Function Approach
• Possibilistic Belief Network Constructed by Operators of Composition and its Application to Financial Analysis
• Using Belief Functions to Forecast Demand for Mobile Satellite Services
• Modeling Financial Portfolios Using Belief Functions
• Futures Hedging under Prospect Utility and Knightian Uncertainty.