An aggregation method for solving problems of multicriteria decision making using ordered weighted averaging operators and generalized mixture operators

Jong-Hui  Mun; Chol-Jun  Hwang; Nam-Il  Kim; Hyon-U  Kong; Kyong-Ho  Mun

doi:10.6180/jase.202503_28(3).0012

An aggregation method for solving problems of multicriteria decision making using ordered weighted averaging operators and generalized mixture operators

Computer Science and Information Engineering

Jong-Hui Mun¹, Chol-Jun Hwang^2,3This email address is being protected from spambots. You need JavaScript enabled to view it., Nam-Il Kim⁴, Hyon-U Kong⁴, and Kyong-Ho Mun¹

¹Faculty of Electronics and Automatics, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

²School of Business Administration, Northeastern University, Shenyang, P. R. China

³E-library, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

⁴Faculty of Information Science, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

Received: January 24, 2024
Accepted: March 31, 2024
Publication Date: May 22, 2024

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202503_28(3).0012

There is no MCDM method that can be said to be the most appropriate for solving a professional decision making problem, and hence, various methods are often applied in combination to make a correct decision. In this paper, we propose to aggregate by ordered weighted averaging(OWA) operator the various results obtained according to the application of different standardization methods in TOPSIS, VIKOR, COPRAS, and WASPAS methods. And we compare our proposed approach with similar methods the literature using the problem of renewable energy resource estimation with known results. The results confirm the validity and effectiveness of the proposed approach.

Keywords: Multi-criteria decision making; Ordered weighted averaging operators; Generalized mixture operators; TOPSIS; VIKOR

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