A Fuzzy Topsis Multiple-Attribute Decision Making for Production Electric upon Future Data

Mohammed Alqatqat¹ , Ma Tie Feng² , Chandan Solanki³

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.3 , pp.12-23, Jun-2021

Online published on Jun 30, 2021

Copyright © Mohammed Alqatqat, Ma Tie Feng, Chandan Solanki . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
the issue of decision-making in the process of producing electricity occupies the main concern in implementing most companies in developed countries. Therefore, there was a great interest in developing multi-criteria decision-making methods. And then as this research focuses on providing a technique for electricity demand performance (Fuzzy TOPSIS) to evaluate The amount of electrical energy to be produced in the future in china next 3 years This research focuses on presenting the system advantage by analogy with the ideal solution (Fuzzy TOPSIS) as a technique that helps to make the optimal decision when creating a project that is faced by complex and multi-criteria problems (MCDM). This technique is applied to a variety of areas as it allows a comprehensive and unbiased study of standards and alternatives. This research aims to highlight the importance of maintenance, and how Fuzzy TOPSIS technology can be employed. Finally, and by calculating the results show that the highest 12 months will the consumption electric increasing through criteria which decision makers take it, This requires that we need more electricity production in these months in the coming years 2021, 2022 and 2023 .

Key-Words / Index Term :
TOPSIS , multiple-attribute decision making , production electric • fuzzy TOPSIS

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