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Register a new userThe Neutrosophic Exponential Distribution
التوزيع الأسي النيتروسوفيكي
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Aِl-Baath University ورقة بحثية
Publication date
2018
fields
Mathematical Statistics
and research's language is
العربية
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نقدم في هذا البحث التوزيع الأسي النيتروسوفيكي الذي هو عبارة عن تمديد للتوزيع الأسي الكلاسيكي وفق منطق النيتروسوفيك ( و هو منطق جديد غير كلاسيكي تم تأسيسه من قبل الفيلسوف و الرياضي الأميركي فلورنتن سمارانداكه الذي قدمه كتعميم للمنطق الضبابي و خاصة المنطق الضبابي الحدسي) الذي يمكننا من التعامل مع كافة البيانات حتى غير المحددة بشكل دقيق.
We present in this paper the neutrosophic exponential distribution, which is an extension of the classical exponential distribution according to the neutrosophic logic (a new non-classical logic which was founded by the American philosopher and mathematical Florentin Smarandache, which he introduced as a generalization of fuzzy logic especially the intuitionistic fuzzy logic), so that it can handle all the data that it is not precisely defined.
References used
Osman, Salah and Smarandache, Florentin. Arab Philosophy from a Neutrosophy Perspective, Al Ma'aref Establishment, Alexandria, 2007
A. A. Salama and F. Smarandache. Neutrosophic Crisp Set Theory, Education Publishing, Columbus, 2015
A. A. Salama and F. Smarandache. Neutrosophic Crisp Probability Theory. Critical Review. Volume XII, 2016
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and their wide spread in the various scientific and applied fields. The researchers
have
proposed many routing protocols in these networks. This is because the goal of the
development process is to make these networks more secure and stable because they are
highly vulnerable to penetration by any other node located in the perimeter of the network
because the security factors are weak.
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discovering the route when needed, without broadcasting of control messages across
network , And the hybrid type, which combines the two classes, that divides the network
into clusters where the nodes interconnections within the cluster depends on the interactive
method, while the transmission between two nodes that belong to different clusters is
depend on proactive method.
In this research, the MANET network was simulated by subjecting the packet
generation process to an exponential probability distribution with the change of the value
of the (α) parameter in order to obtain the best performance when the number of nodes
changed taking into account the parameters of Throughput, load and delay.
The study aims at comparing ARIMA models and the exponential
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method.
The comparison focuses on the ability
of both methods to forecast
the time series with a narrow range of one point to another and the time
series with a long range of one point to another, and also on the different
lengths of the forecasting periods. Currency exchange rates of Shekel to
American dollar were used to make this comparison in the period
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On the contrary, exponential smoothing method can give better
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