Sensitivity of Linear Convolution from Expert Judgments

被引：0
|
作者：
Dmitriev, M. G. [1 ]
Lomazov, V. A. [2 ]
机构：
[1] Natl Res Univ, HSE, Moscow 101000, Russia
[2] Belgorod State Agr Acad, Maisky 308503, Belgorod Region, Russia
来源：
2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014 | 2014年 / 31卷
关键词：
expert judgment; multicriteria optimization; small parameter;
D O I：
10.1016/j.procs.2014.05.330
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
It is suggested an approach to solving optimization problems for aggregated criterion as a linear convolution of partial criteria, where the weights are obtained on the basis of ranking partial criteria in order of importance. The procedure, based on the method of small parameter, is proposed in order to estimate the change of optimal solutions when there is an elementary change of expert judgments. (C) 2014 Published by Elsevier B.V. Open access under CC BY-NC-ND license.
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页码：802 / 806
页数：5
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