A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA
dc.authorid | Ramya, L. Susana/0000-0001-5938-0771 | |
dc.authorid | Kureethara, Joseph Varghese/0000-0001-5030-3948 | |
dc.authorscopusid | 55650282900 | |
dc.authorscopusid | 57211218245 | |
dc.authorscopusid | 36663677500 | |
dc.authorscopusid | 7005872966 | |
dc.authorscopusid | 25654750500 | |
dc.authorscopusid | 57194694164 | |
dc.authorscopusid | 57194694164 | |
dc.authorwosid | L, Susana Ramya/Abb-4611-2021 | |
dc.authorwosid | Baleanu, Dumitru/B-9936-2012 | |
dc.authorwosid | Narayanamoorthy, Samayan/Aay-8315-2021 | |
dc.authorwosid | Jeon, Jeonghwan/S-4503-2019 | |
dc.authorwosid | Kureethara, Joseph Varghese/W-6897-2019 | |
dc.contributor.author | Narayanamoorthy, S. | |
dc.contributor.author | Baleanu, Dumitru | |
dc.contributor.author | Annapoorani, V. | |
dc.contributor.author | Kang, Daekook | |
dc.contributor.author | Baleanu, Dumitru | |
dc.contributor.author | Jeon, Jeonghwan | |
dc.contributor.author | Kureethara, Joseph Varghese | |
dc.contributor.author | Ramya, L. | |
dc.contributor.authorID | 56389 | tr_TR |
dc.contributor.other | Matematik | |
dc.date.accessioned | 2022-03-02T07:08:05Z | |
dc.date.available | 2022-03-02T07:08:05Z | |
dc.date.issued | 2020 | |
dc.department | Çankaya University | en_US |
dc.department-temp | [Narayanamoorthy, S.; Annapoorani, V.; Ramya, L.] Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India; [Kang, Daekook] Inje Univ, Dept Ind & Management Engn, 197 Inje Ro, Gimhae Si 50834, Gyeongsangnam D, South Korea; [Baleanu, Dumitru] Cankaya Univ, Dept Math, Ankara, Turkey; [Baleanu, Dumitru] Turkey & Inst Space Sci, Bucharest, Romania; [Jeon, Jeonghwan] Gyeongsang Natl Univ, Dept Ind & Syst Engn, Jinju Si, Gyeongsangnam D, South Korea; [Kureethara, Joseph Varghese] Deemed Univ, CHRIST, Bangalore, Karnataka, India | en_US |
dc.description | Ramya, L. Susana/0000-0001-5938-0771; Kureethara, Joseph Varghese/0000-0001-5030-3948 | en_US |
dc.description.abstract | Bio-medical waste (BMW) management is highly important precaution for human health and environmental concern. There are several disposal treatment followed by medical practitioners in medical waste management. Here, a few disposal treatment is considered to be an alternatives. When assessing, it is necessary to evaluate and assume that all disposal treatment methods are safe and hygienic. In this way, every alternative assessment is evaluated based on the social acceptance, technology and operation, environmental protection, cost, noise and health risk. Finally the best alternative is chosen. When BMW is disposed and we select the best treatment method in BMW management, it can lead to multi-criteria decision making (MCDM) processes related to uncertain critical assessments. When making a decision, the decision makers having some hesitation to give their suggestions. Therefore, here we use hesitant MCDM method. In today's practice we have choose five methods of BMW disposal methods used in the medical world and we have its alternatives. One of these alternative is sorted by six criteria weights for selecting the best method. The main aim of this research paper is propose a new methodology of hesitant fuzzy weight finding technique, it is named as Hesitant Fuzzy Subjective and Objective Weight Integrated Approach (HF-SOWIA) and also propose a new hesitant fuzzy rank finding methodology, it is named as Hesitant Fuzzy Multi-Objective Optimization on the basis of Simple Ratio Analysis (HF-MOOSRA). After evaluation, the result shows that autoclaving is the best alternative for BMW disposal treatment methods. Furthermore, sensitivity analysis is make in order to observe the difference of alternative ranking when the importance of subjective and objective weights changes. (C) 2020 Elsevier Ltd. All rights reserved. | en_US |
dc.description.publishedMonth | 12 | |
dc.description.sponsorship | National Research Foundation(NRF) of Korea - Korean Government (MSIT), Republic of Korea [NRF-2019R1G1A1006073] | en_US |
dc.description.sponsorship | (i)This work was supported by the National Research Foundation(NRF) of Korea funded by the Korean Government (MSIT), Republic of Korea (NRF-2019R1G1A1006073). (ii) The authors would like to heartily thank the Editor in Chief and anonymous reviewers for their careful reading of this manuscript and for their helpful comments. | en_US |
dc.description.woscitationindex | Science Citation Index Expanded | |
dc.identifier.citation | Narayanamoorthy, S...et al. (2020). "A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA", Journal of Cleaner Production, Vol. 275. | en_US |
dc.identifier.doi | 10.1016/j.jclepro.2020.122587 | |
dc.identifier.issn | 0959-6526 | |
dc.identifier.issn | 1879-1786 | |
dc.identifier.scopus | 2-s2.0-85088360925 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.jclepro.2020.122587 | |
dc.identifier.volume | 275 | en_US |
dc.identifier.wos | WOS:000579495100014 | |
dc.identifier.wosquality | Q1 | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Sci Ltd | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 98 | |
dc.subject | Waste Management | en_US |
dc.subject | Bio-Medical Waste | en_US |
dc.subject | Multi-Criteria Decision Making | en_US |
dc.subject | Multi-Objective Optimization On The Basis Of Simple Ratio Analysis | en_US |
dc.subject | Criteria Importance Through Inter Criteria Correlation | en_US |
dc.subject | Subjective And Objective Weight Integrated Approach | en_US |
dc.title | A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA | tr_TR |
dc.title | A Novel Assessment of Bio-Medical Waste Disposal Methods Using Integrating Weighting Approach and Hesitant Fuzzy Moosra | en_US |
dc.type | Article | en_US |
dc.wos.citedbyCount | 85 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | f4fffe56-21da-4879-94f9-c55e12e4ff62 | |
relation.isAuthorOfPublication.latestForDiscovery | f4fffe56-21da-4879-94f9-c55e12e4ff62 | |
relation.isOrgUnitOfPublication | 26a93bcf-09b3-4631-937a-fe838199f6a5 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 26a93bcf-09b3-4631-937a-fe838199f6a5 |
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