logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Belief Functions In Business Decisions 1st Edition Rajendra P Srivastava

  • SKU: BELL-4625092
Belief Functions In Business Decisions 1st Edition Rajendra P Srivastava
$ 31.00 $ 45.00 (-31%)

4.8

54 reviews

Belief Functions In Business Decisions 1st Edition Rajendra P Srivastava instant download after payment.

Publisher: Physica-Verlag Heidelberg
File Extension: PDF
File size: 15.46 MB
Pages: 346
Author: Rajendra P. Srivastava, Theodore J. Mock (auth.), Professor Rajendra P. Srivastava, Professor Theodore J. Mock (eds.)
ISBN: 9783790817980, 9783790825039, 3790817988, 3790825034
Language: English
Year: 2002
Edition: 1

Product desciption

Belief Functions In Business Decisions 1st Edition Rajendra P Srivastava by Rajendra P. Srivastava, Theodore J. Mock (auth.), Professor Rajendra P. Srivastava, Professor Theodore J. Mock (eds.) 9783790817980, 9783790825039, 3790817988, 3790825034 instant download after payment.

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.

Related Products