Volume 1, Issue 4 (2012)                   ORMR 2012, 1(4): 1-191 | Back to browse issues page

PMCID: 0

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Analysis and Management of Cash Flows using Fuzzy - Statistical Expert Systems under Uncertainty. ORMR. 2012; 1 (4) :1-191
URL: http://ormr.modares.ac.ir/article-28-1544-en.html
Abstract:   (4826 Views)
Human beings may infer logical issues, yet choose not to express their thoughts  based on their inference, but robots and intelligent machines turn out exactly what they have arrived at  based  on the intelligent and inference rules programmed into them. Unlike people they do not tell lies!rnIn a world of uncertainty external factors that affect our decisions each with its own varied  possibilities await us; the combination of our chosen decision with the dynamic issues at play, create the consequences and results of our decisions.  In such a vague world using powerful intelligent tools that are close to the natural human language style and with the ability to use logical inference similar to that of the human mind, while simultaneously utilizing more quantities of data and more complicated relationships, can lead us to make more quality decisions.rnThe purpose of this article is to demonstrate how to incorporate the concept of fuzzy sets in the analysis and management of cash flows and afterwards to choose the fuzzy logic approach in order to analyze the relationship between the uncertain variables on decision making applying a set of mathematical techniques. The information in this article aims to illustrate a practical issue within the real world of business. Cash flow data prepared by firms presented on the stock exchange of Iran is based on Accounting Standards.rn 
Full-Text [PDF 1577 kb]   (1592 Downloads)    

Received: 2010/10/27 | Accepted: 2011/11/10 | Published: 2012/11/6

Add your comments about this article : Your username or Email:
CAPTCHA