A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures

Mishra, Arunodaya Raj; Mardani, Abbas; Rani, Pratibha; Zavadskas, Edmundas Kazimieras

doi:10.1016/j.jclepro.2020.122807

Cited by 123 publications

(69 citation statements)

References 77 publications

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“…In the MCDM process, various criteria weighting methods have been developed in the literature (Suh et al 2019 ; Mishra et al 2020a ; Rani et al 2020c ). The criteria weight computation procedures are classified as objective weight and subjective weight (Peng 2019 ).…”

Section: Related Workmentioning

confidence: 99%

“…The objective of MCDM procedure is to select the best option from a set of options under a set of various attributes. Currently, numerous MCDM approaches namely COPRAS (Kumari and Mishra 2020 ; Mishra et al 2020a ), CODAS (He et al 2019 ; Zhou et al 2020 ), ELECTRE (Fei et al 2019 ; Mishra et al 2020b ), MULTIMOORA (Tian et al 2017 ; Wu et al 2020 ), TOPSIS (Aydemir and Gunduz 2020 ; Dammak et al 2020 ), TODIM (Zindani et al 2020 ; Mishra et al 2020c ), VIKOR (Rani et al 2019 ; Krishankumar et al 2020 ), WASPAS (Ghorabaee et al 2017 ; Mishra and Rani 2018 ) and others have been discussed to solve the MCDM problems on different uncertain environments. Each MCDM procedure has been developed with different advantages and disadvantages, though, the scholars usually select an approach which is based on the nature and intricacy of the problem.…”

Section: Related Workmentioning

confidence: 99%

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Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

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137

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In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers’ weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers’ weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

Self Cite

137

View full text Add to dashboard Cite

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“…As per Klemeš et al (2020) , the traditional incineration technology coupled with waste heat energy recovery, can minimize the environmental impacts of the waste emissions. Mishra et al (2020) recently revealed in their study that steam sterilization is the best method for safe disposal HCW. Moreover, the tracking based supply chain of HCW (TEC 2) should be designed to track the movement of each bag of HCW down to the supply chain from hospitals to the waste treatment facilities.…”

Section: Resultsmentioning

confidence: 99%

Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak

Thakur

2021

Journal of Cleaner Production

115

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The COVID-19 pandemic has put the world economy at an unprecedented position and protecting society from the infection is at the core of all measures. As the COVID-19 virus stays longer on plastic and stainless steel materials, hence the healthcare wastes (HCW), coming out of the treatment of COVID-19 infected patients can be one of the potential route for transmission of infection. Therefore, the present study analyses the dimensions of sustainable HCWM by using a multi-method approach: PESTEL (political, economic, social, technological, environmental and legal) analysis, TISM (total interpretive structural modeling) and fuzzy- MICMAC (cross-impact matrix multiplication applied to classification) analysis. The opted research framework yields 17 PESTEL dimensions of sustainable HCWM during the COVID-19 outbreak through the literature survey and experts’ discussions. Then, the TISM methodology developed a hierarchical digraph of all the 17 dimensions of sustainable HCWM based on the interrelationships. Fuzzy-MICMAC analysis classified all 17 PESTEL dimensions into four groups depending upon their driving and dependence powers. The study concluded that the policy framework for targeting political, legal and environmental issues should be the immediate concern of the worldwide governments and health officials. The effluent control and compliance to environmental laws being the output dimensions should be tracked regularly for ensuring the cleaner production in healthcare services. The PESTEL analysis will help the hospitals’ managers and policymakers to understand the macro-environment surrounding the HCWM.

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“…The measure of the discrimination of two HFSs is defined axiomatically with the following axioms similar to the case of FSs and IFSs [71][72][73].…”

Section: Definition 1 [7]mentioning

confidence: 99%

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

et al. 2021

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Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

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A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures

Cited by 123 publications

References 77 publications

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

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