Запис Детальніше


Поле	Співвідношення

Title	Computational efficiency of searching Kemeny consensus and enrollment of experts for preferring on stock-markets

Names	Праворська, Наталія Іванівна Pravorska, N.I.
Date Issued	2017 (iso8601)
Abstract	It is studied where the algorithm’s MATLAB code for searching Kemeny ranking/consensus is effective. Besides, a matter of minimizing the number of experts is discussed. Statistics of searching Kemeny ranking/consensus are obtained in MATLAB. The algorithm’s effectiveness becomes more apparent for greater number of objects. Its MATLAB code is very simple, so the effectiveness is expected when other programming environments will be used (say, C/C++, Python, Java). A matter of minimizing the number of experts is reduced to using the simplest voting via social networks. Such social networks can be organized as corporative groups/communities in Facebook or other known networks. The stated result can be used in making preferences on options or other related stock-market objects.
Genre	Стаття
Topic	preferences
Identifier	Pravorska N. I. Computational efficiency of searching Kemeny consensus and enrollment of experts for preferring on stock-markets / N. I. Pravorska // Наука й економіка : наук.-теорет. журн. / Хмельниц. екон. ун-т. – Хмельницький, 2017. – Вип. 2 (46). – С. 98-103.