Evaluating the Strategies for Sustainable Traditional Medicine Development in Developing Countries: A Holistic Decision-Making Approach
DOI:
https://doi.org/10.29020/nybg.ejpam.v19i1.6785Keywords:
Sustainability, Traditional Medicine, FullEX, Alternative Ranking using Two-Step Logarithmic Normalization, Multi-Criteria Decision-MakingAbstract
Choosing the right options for sustainable traditional medicine development is a major challenge for healthcare policymakers and practitioners, especially with uncertainties introduced by political shifts and policy changes. A new approach is developed in this study to address this complex issue. Applying the alternative ranking using two-step logarithmic normalization (ARLON) based on picture fuzzy sets (PFS), this framework is the first of its kind in the literature. It helps identify the most appropriate strategies from options for sustainable traditional medicine development. The study combines the picture fuzzy ARLON approach with the FullEX technique to weigh criteria representing challenges to sustainable traditional medicine development. Sensitivity analysis scenarios and comparative analyses are conducted to test the approach’s robustness. Results show that "promotion of the validation of the safety, efficacy, and quality of medicinal plants and their products" and "concerted campaigns emphasizing the advantageous aspects of traditional medicine" are the most appropriate alternatives for sustainable traditional medicine development.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Mouhamed Bayane Bouraima, Su Qian, Galip Cihan Yalçın, Karahan Kara, Vladimir Simic, Dragan Pamucar

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Upon acceptance of an article by the European Journal of Pure and Applied Mathematics, the author(s) retain the copyright to the article. However, by submitting your work, you agree that the article will be published under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license allows others to copy, distribute, and adapt your work, provided proper attribution is given to the original author(s) and source. However, the work cannot be used for commercial purposes.
By agreeing to this statement, you acknowledge that:
- You retain full copyright over your work.
- The European Journal of Pure and Applied Mathematics will publish your work under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- This license allows others to use and share your work for non-commercial purposes, provided they give appropriate credit to the original author(s) and source.