Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
---|---|---|
Article Number | 01013 | |
Number of page(s) | 6 | |
Section | Hybrid Modeling and Optimization in Complex Systems: Advances and Applications | |
DOI | https://doi.org/10.1051/itmconf/20245901013 | |
Published online | 25 January 2024 |
Comparison and selection of criteria and features in morphological analysis
Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN),
Moscow,
101000,
Russia
* Corresponding author: rdl@mail.ru
The article deals with the issues of using the method of pairwise comparisons in the selection of attributes and criteria in morphological analysis. The paper specifies the possibilities of solving the problems of collecting, analysing, evaluating and selecting rational options. The fundamental impossibility of building accurate models leads to the necessity of decision making under conditions of uncertainty. The analytic hierarchy process is used to solve the problems. The formulation and method of solving the problem are given. Using an example, the application of the proposed approach is shown. In conclusion and conclusions are drawn and the advantages of the stated algorithm are considered. The use of the proposed approach allows increasing the validity of the decisions made in morphological analysis and thus increasing the efficiency of research.
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.