Mishra Arunodaya Raj, Rani Pratibha
Department of Mathematics, Government College Jaitwara, Satna, MP 485221 India.
Department of Mathematics, National Institute of Technology Warangal, Telangana, 506004 India.
Complex Intell Systems. 2021;7(5):2469-2484. doi: 10.1007/s40747-021-00407-9. Epub 2021 Jun 18.
Medical services inevitably generate healthcare waste (HCW) that may become hazardous to healthcare staffs, patients, the population, and the atmosphere. In most of the developing countries, HCW disposal management has become one of the fastest-growing challenges for urban municipalities and healthcare providers. Determining the location for HCW disposal centers is a relatively complex process due to the involvement of various alternatives, criteria, and strict government guidelines about the disposal of HCW. The objective of the paper is to introduce the WASPAS (weighted aggregated sum product assessment) method with Fermatean fuzzy sets (FFSs) for the HCW disposal location selection problem. This method combines the score function, entropy measure, and classical WASPAS approach within FFSs context. Next, a combined procedure using entropy and score function is proposed to estimate the criteria weights. To do this, a novel score function with its desirable properties and some entropy measures are introduced under the FFSs context. Further, an illustrative case study of the HCW disposal location selection problem on FFSs is established, which evidences the practicality and efficacy of the developed approach. Comparative discussion and sensitivity analysis are made to monitor the permanence of the introduced framework. The final results approve that the proposed methodology can effectively handle the ambiguity and inaccuracy in the decision-making procedure of HCW disposal location selection.
医疗服务不可避免地会产生医疗废物，这些废物可能会对医护人员、患者、公众和环境造成危害。在大多数发展中国家，医疗废物处置管理已成为城市市政当局和医疗服务提供者面临的增长最快的挑战之一。由于涉及多种选择、标准以及政府关于医疗废物处置的严格指导方针，确定医疗废物处置中心的位置是一个相对复杂的过程。本文的目的是引入一种基于费马模糊集（FFS）的加权聚合和积评估（WASPAS）方法，用于解决医疗废物处置地点选择问题。该方法在费马模糊集的背景下，结合了得分函数、熵测度和经典的WASPAS方法。接下来，提出了一种使用熵和得分函数的组合程序来估计标准权重。为此，在费马模糊集的背景下引入了一种具有理想性质的新型得分函数和一些熵测度。此外，建立了一个关于费马模糊集的医疗废物处置地点选择问题的实例研究，证明了所提出方法的实用性和有效性。进行了比较讨论和敏感性分析，以监测所引入框架的稳定性。最终结果表明，所提出的方法能够有效地处理医疗废物处置地点选择决策过程中的模糊性和不确定性。
