نتایج جستجو برای: m fuzzifying exchange law
تعداد نتایج: 870695 فیلتر نتایج به سال:
The Leibniz Center for Law is involved in the project Digitale Uitwisseling Ruimtelijke Plannen (DURP; digital exchange of spatial plans) which develops a digital exchange format for spatial regulations. For the researchers of the Leibniz Center for Law, having designed the METALex XML schema (cf. [3, 4]) for ‘regular’ legal sources, involvement in the DURP project offers new possibilities to s...
Looking at the history of studies conducted in the framework of law and economics as long has always pointed to this approach. So that the whole studies carried out in this area, to be included multiple intellectual views. But the turning point of this study that provided the background for the development of this approach over the past, Published institutional economic ideas was in this field....
Detecting financial fraud is an important issue and ignoring this issue may cause financial and non-financial losses to individuals and organizations. The aim of this study is to test the ability of Beneish M-Score Model for detecting financial fraud among companies listed on Tehran stock exchange. The research sample consists of 137 companies listed on Tehran Stock Exchange for a period of 11 ...
The Leibniz Center for Law is involved in the project Digitale Uitwisseling Ruimtelijke Plannen (DURP; digital exchange of spatial plans) which develops a digital exchange format for spatial regulations. For the researchers of the Leibniz Center for Law, having designed the Lex XML schema (cf. Boer et al., 2002 and Boer et al., 2003) for ‘regular’ legal sources, involvement in the DURP project ...
This paper presents a fuzzy queuing location model for congested system. In a queuing system there are different criteria that are not constant such as service rate, service rate demand, queue length, the occupancy probability of a service center and Probability of joining the queue line. In this paper with fuzzifying all of these variables, will try to reach an accurate real problem. Finally w...
Cost and operation of inventory depends a great deal on what happens to demand when the system is out of stock. In real inventory systems, it is more reasonable to assume that part of the excess demand is backordered and the rest is lost. However, the amount of backorders (or lost sales) often incurs disturbance due to various uncertainties. To incorporate this reality, this article attempts to...
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