| Issue |
MATEC Web Conf.
Volume 86, 2016
5th International Scientific Conference “Integration, Partnership and Innovation in Construction Science and Education”
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 7 | |
| Section | 5 Organization and Management in construction | |
| DOI | https://doi.org/10.1051/matecconf/20168605003 | |
| Published online | 28 November 2016 | |
Fuzzy sets on step of planning of experiment for organization and management of construction processes
Moscow State University of Civil Engineering, Yaroslavskoye Shosse 26, 129337, Moscow, Russia
* Corresponding author: anmakarof@yandex.ru
In this article, problems of mathematical modeling and experiment planning of the organization and management of construction. The authors designated the basic restrictions and the difficulties in this field. Concluded that the planning of research experiment is possible in the information sphere with using of heuristic, graphical, mathematical models, as well as neural networks and genetic algorithms. The authors note the need for use of expert information in the case of the formalization of quality parameters. The article presented an overview of the translation methods of qualitative information into mathematical language. Comparison of methods the qualimetry of USSR scientists, the analytic hierarchy process and fuzzy set theory were performed. The benefits of the latter for interpretation of qualitative parameters were identified. The authors have given many examples of application fuzzy sets for formalization of organizational factors of construction processes. Finally, there conclusion was made about progressiveness and effectiveness of fuzzy set theory to describe the qualitative parameters of organization and management of construction.
© The Authors, published by EDP Sciences, 2016
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.
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