| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 04013 | |
| Number of page(s) | 11 | |
| Section | Engineering for Environment Development Applications | |
| DOI | https://doi.org/10.1051/e3sconf/202449104013 | |
| Published online | 21 February 2024 | |
On Solving Multi-Attribute Decision Making Problem Using AHP
1 Department of Mathematics, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamilnadu, India
2 Department of Mathematics, Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, India
3 Department of Mathematics, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamilnadu, India
* Corresponding author: subamyl@gmail.com
Multi-attribute Decision Making (MADM) is concerned with the elucidation of the levels of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-attributes. In selection of its suppliers, an organization needs to take into account such attributes as quality, technical capability, supply chain management, financial soundness, environmental and so on. Many smart technologies are used in modern cities to improve society's well-being in many ways. The proposed research focuses on communication methods for data applications. Our main goal for this paper is to use little energy as possible while delivering as much data as possible by using multi-attribute decision-making.
© 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.