Issue |
MATEC Web Conf.
Volume 170, 2018
International Science Conference SPbWOSCE-2017 “Business Technologies for Sustainable Urban Development”
|
|
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Article Number | 01128 | |
Number of page(s) | 6 | |
Section | Municipal Facilities Management. Business Activity Management in Construction. Process Reengineering and Information Systems | |
DOI | https://doi.org/10.1051/matecconf/201817001128 | |
Published online | 13 June 2018 |
Reengineering of processes of classification in neural intellectual information systems of city development
1
Voronezh State Technical University, Moscow Avenue, 14, 394026, Voronezh, Russia
2
Moscow State University of Civil Engineering, Yaroslavskoe sh. 26, Moscow, 129337, Russia
3
Moscow Institute of Architecture, Rozhdestvenka street 11, Moscow, 107031, Russia
* Corresponding author: belousov@vgasu.vrn.ru
In this article reengineering of processes of classification of objects in neural intellectual information systems of city development in the conditions of multi criteria approach is considered. The universal algorithm of calculation of cumulative total opinion of experts of the city district on the basis of a median of Kemeni who allows to order in the most reliable and objective way clusters rankings in the complex multilevel structures representing objects of municipal economy is offered. For receiving reliable results of an indistinct clustering it is necessary to reproduce the specified algorithm repeatedly at a certain number of clusters for various initial indistinct splitting and to compare values of criterion function of indistinct splitting which were received, for the purpose of adoption of the final decision on a necessary indistinct clustering.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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