Khan Asghar, Barukab Omar, Jun Young Bae, Khan Sher Afzal, Ahmad Umair, Rushdi Ali Muhammad Ali
Department of Mathematics, Abdul Wali Khan University, Mardan, KP, 23200, Pakistan.
Department of Computer Science, Abdul Wali Khan University, Mardan, KP, 23200, Pakistan.
Sci Rep. 2025 Jul 5;15(1):24031. doi: 10.1038/s41598-025-06020-x.
The management of health care waste (HCW) is a major environmental and public health challenge, especially in developing nations. A complex multi-criteria decision analysis problem encompassing both qualitative and quantitative aspects is the choice of the best technology for HCW disposal. It is possible to evaluate HCW treatment technologies using ambiguous or inaccurate data. Furthermore, the majority of current HCW decision models are unable to account for these intricate interactions. The (p-q) rung orthopair fuzzy set is integrated in this research to present a novel hybrid multi-criteria decision making (MCDM) model. Due to the greater range of their membership grades, (p-q) rung orthopair fuzzy sets can offer more ambiguous scenarios than Fermatean, Pythagorean, and intuitionistic fuzzy sets. We first develop basic operational criteria to characterize some aggregation operators (AOs) under Sugeno-Weber operations, comprising the Sugeno-Weber weighted averaging operator for (p-q) rung orthopairs ((p-q) ROFSWWA). We investigate these operators' basic characteristics in further detail. To determine the ranking of alternatives, an enhanced combination compromise solution approach is suggested in this study. We provide a case study on HCW management selection to demonstrate the usefulness of our suggested approach. Comparing our suggested decision-making procedure to current MCDM techniques demonstrates its high efficacy and dependability in evaluating and rating HCW.
医疗保健废弃物（HCW）的管理是一项重大的环境和公共卫生挑战，在发展中国家尤为如此。选择最佳的HCW处置技术是一个复杂的多标准决策分析问题，涉及定性和定量两个方面。使用模糊或不准确的数据来评估HCW处理技术是可能的。此外，当前大多数HCW决策模型都无法考虑这些复杂的相互作用。本研究集成了（p-q）级正交对模糊集，以提出一种新颖的混合多标准决策（MCDM）模型。由于其隶属度范围更广，（p-q）级正交对模糊集比费马、毕达哥拉斯和直觉模糊集能提供更多模糊情景。我们首先制定基本运算准则，以刻画Sugeno-Weber运算下的一些聚合算子（AO），包括用于（p-q）级正交对的Sugeno-Weber加权平均算子（（p-q）ROFSWWA）。我们进一步详细研究了这些算子的基本特性。为了确定备选方案的排名，本研究提出了一种改进的组合折衷解方法。我们提供了一个关于HCW管理选择的案例研究，以证明我们所建议方法的实用性。将我们所建议的决策程序与当前的MCDM技术进行比较，证明了其在评估和评级HCW方面的高效性和可靠性。
