A q-Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection

Saha, Abhijit; Mishra, Arunodaya Raj; Rani, Pratibha; Hezam, Ibrahim M.; Cavallaro, Fausto

doi:10.3390/su14074171

Cited by 40 publications

(16 citation statements)

References 69 publications

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“…To ensure that the best HCWTT can be selected under incomplete and uncertain information, EDAS applicable to the multi-granular linguistic environment [36] and generalized orthopair fuzzy environment [43] were proposed. To solve the HCWTT selection problem in q-rung orthopair fuzzy sets (QROFSs), Saha et al [44] suggested an MCDM method that used extended double normalization-based multi-aggregation (DNMA) to establish alternative ranking. Wang and Wang [45] used a Bonferroni mean operator to fuse linguistic information and designed an MCDM framework for HCWTT based on Combined Compromise Solution (CoCoSo).…”

Section: Evaluation and Decision Methods For Hcwtt Selectionmentioning

confidence: 99%

Fermatean Fuzzy IWP-TOPSIS-GRA Multi-Criteria Group Analysis and Its Application to Healthcare Waste Treatment Technology Evaluation

2023

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The growth of healthcare waste (HCW) was driven by the spread of COVID-19. Effective HCW eradication has become a pressing global issue that requires immediate attention. Selecting an effective healthcare waste treatment technology (HCWTT) can aid in preventing waste buildup. HCWTT selection can be seen as a complex multi-criteria group evaluation problem as the process involves multiple types of criteria and decision-makers (DMs) facing uncertain and vague information. The key objective of this study is to create a useful tool for the evaluation of HCWTT that is appropriate for the organization’s needs. A novel index system for assessing the HCWTT during the decision-making evaluation process is first presented. Then a new approach based on entropy measure, decision-making trial and evaluation laboratory (DEMATEL), and game theory for the integrated weighting procedure (IWP) is presented under a Fermatean fuzzy environment. A multi-criteria group analysis based on IWP, a technique for order of preference by similarity to ideal solution (TOPSIS) and grey relational analysis (GRA), named IWP-TOPSIS-GRA framework suited to Fermatean fuzzy evaluation information, is developed. In a real-world case of HCWTT selection, through comparative analysis and sensitivity analysis, it is verified that the presented method is feasible and robust.

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Section: Evaluation and Decision Methods For Hcwtt Selectionmentioning

confidence: 99%

Fermatean Fuzzy IWP-TOPSIS-GRA Multi-Criteria Group Analysis and Its Application to Healthcare Waste Treatment Technology Evaluation

2023

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“…Liang et al [19] constructed a novel tri-reference point (TRP) model for solving q-ROFS-based MCDM problem by considering the interaction of criteria with Bayesian network. Saha et al [20] presented the q-ROF-"full consistency method (FUCOM)"-"double normalization-based multi-aggregation (DNMA)" approach to deal with the "healthcare waste treatment technology (HCWTT)" assessment.…”

Section: A Fuzzy Sets For Multi-criteria Decision Makingmentioning

confidence: 99%

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Deveci

Mishra

Gökaşar

et al. 2023

IEEE Trans. Fuzzy Syst.

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Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online.Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, firstly q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators (AOs) and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product (WISP) method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this study confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of applications.

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“…The technique that was most frequently used was DNMA (double-normalization-based multi-aggregation), which essentially makes use of double normalisation. With the help of the MCDM method with fuzzy information q-rung orthopair (q-ROFI), FUCOM (FUll COnsistency Method), and the DNMA method, Saha et al (2022) chose the best medical waste management strategies. Liao et al (2019) used the lung cancer-screening example to compare the effectiveness of the proposed models using the DNMA method and the fuzzy Delphi method.…”

Section: Literature Reviewmentioning

confidence: 99%

Approach for multi-criteria ranking of Balkan countries based on the index of economic freedom

Puška¹,

Štilić²,

Stojanović

2023

J. Decis. Anal. Int. Comp.

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Understanding the level of economic freedom is an important indicator for investors and policymakers. The index of economic freedom, which the Heritage Foundation releases annually, is the most significant of the methods used to measure this indicator in practice, as this index evaluates the degree of market openness over the degree of fiscal and regulatory restraint. The research presented in this paper was conducted in order to establish the level of economic freedom in the Balkan countries. For this purpose, a multi-criteria ranking of Balkan countries based on economic freedom criteria was used. The weight of the criteria was determined using the Entropy method, and the countries were ranked using the CRADIS (Compromise Ranking of Alternatives from Distance to ideal Solution) method. These methods employed a double normalisation approach, and according to the results of this application, Bulgaria has the best indicators of economic freedom, while Montenegro has the worst, with sensitivity analysis and validation of the results confirming these findings. The approach of using double normalisation contributes to decision-making stability since the results of different methods are uniform when compared to the use of the classical approach in the case of multi-criteria analysis methods.

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A q-Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection

Cited by 40 publications

References 69 publications

Fermatean Fuzzy IWP-TOPSIS-GRA Multi-Criteria Group Analysis and Its Application to Healthcare Waste Treatment Technology Evaluation

Fermatean Fuzzy IWP-TOPSIS-GRA Multi-Criteria Group Analysis and Its Application to Healthcare Waste Treatment Technology Evaluation

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Approach for multi-criteria ranking of Balkan countries based on the index of economic freedom

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