Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

Abstract

Pandemics are well-known as epidemics that spread globally and cause many illnesses and mortality. Because of globalization, the accelerated occurrence and circulation of new microbes, the infection has emerged and the incidence and movement of new microbes have sped up. Using technological devices to minimize the visit durations, specifying days for handling chronic diseases, subsidy for the staff are the alternatives that can help prevent healthcare systems from collapsing during pandemics. The study aims to define the efficient usage of optimization tools during pandemics to prevent healthcare systems from collapsing. In this study, a new integrated framework with fuzzy information is developed, which attempts to prioritize these alternatives for policymakers. First, rating data are assigned respective fuzzy values using the standard singleton grades. Later, criteria weights are determined by extending Cronbach´s measure to fuzzy context. The measure not only understands data consistency comprehensively, but also takes into consideration the attitudinal characteristics of experts. By this approach, a rational weight vector is obtained for decision-making. Further, an improved Weighted Aggregated Sum Product Assessment (WASPAS) algorithm is put forward for ranking alternatives, which is flexibly considering criteria along with personalized ordering and holistic ordering alternatives. The usefulness of the developed framework is tested with the help of a real case study. Rank values of alternatives when unbiased weights are used is given by 0.741, 0.582, 0.640 with ordering as $$R_{1} \succ R_{3} \succ R_{2}$$ R 1 ≻ R 3 ≻ R 2 . The sensitivity/comparative analysis reveals the impact of the proposed model as useful in selecting the best alternative for the healthcare systems during pandemics.

Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

“…With the expansion of socio-economic settings, the real-life MCDM problems are becoming progressively complicated. Accordingly, numerous MCDM methods have successfully been discussed and implemented in realistic applications (Cali et al, 2022 ; Pamucar et al, 2022a , b ; Deveci et al, 2022b , c ; Wu et al, 2022 ). The “multi-objective optimization method by ratio analysis (MOORA) (Brauers and Zavadskas, 2006 )” is a one of the effective and prominent MCDM techniques, which consists of “ratio system (RS)” and “reference point (RP)” model.…”

Analisis Sistem Pendukung Keputusan Penerima Beasiswa Terbaik Menerapkan Metode Weight Aggregated Sum Product Assesment (WASPAS) dengan Pembobotan Rank Order Centroid (ROC)

“…Selain dalam bidang industri, metode WASPAS juga telah digunakan dalam bidang pendidikan, misalnya dalam pemilihan guru tetap [6], penilaian kinerja dosen [7], pemilihan dosen penguji skripsi [8], penilaian kinerja tenaga kependidikan [9]. Selain itu, metode WASPAS juga telah digunakan dalam bidang kesehatan misalnya pemilihan alternatif terbaik dalam perawatan kesehatan selama pandemi [10].…”

A Novel Method for Decision Making by Double-Quantitative Rough Sets in Hesitant Fuzzy Systems

“…(2) E is referred to as a full HFS [3] if h(x) = {1} for all x in U, and the empty HFS is denoted by U in this paper.…”

“…The hesitant fuzzy set (HFS) was first proposed by Torra [1] in 2009, as an extension of the fuzzy set, and it can accurately reflect situations of different preference degrees of a decision-making group. Unlike a fuzzy set [2][3][4], the membership degree of an HFS [5] is not a deterministic value and does not obey a certain distribution, but is a set of possible values. Thus, the HFS contains more complete and specific information about the object while dealing with some complex decision-making problems.…”