dc.contributor.author | Krishankumar, Raghunathan | |
dc.contributor.author | Raj Mishra, Arunodaya | |
dc.contributor.author | Rani, Pratibha | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Ravichandran, Kattur Soundarapandian | |
dc.contributor.author | Kar, Samarjit | |
dc.date.accessioned | 2023-09-18T16:24:58Z | |
dc.date.available | 2023-09-18T16:24:58Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0020-0255 | |
dc.identifier.other | (SCIDIR_EID)1-s2.0-S0020025522009069 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113572 | |
dc.description.abstract | A generalized orthopair fuzzy set can express uncertain information easier than most other processes, which gives us more space for decision-making. In recent times, the selection of healthcare waste treatment (HCWT) technology can be considered as multi-criteria decision-making (MCDM) problem due to the involvement of multiple conflicting criteria. To reduce the unhealthy impact on the ecosystem and promote sustainable disposal, researchers have investigated MCDM problems to select apt HCWTs. In a bid to the minimize negative environmental impact of healthcare waste, researchers adopted MCDM, and faced challenges such as: (i) handling uncertainty/subjective randomness; (ii) imputation of missing values; and (iii) consideration to experts’ attitude and interdependencies during MCDM process. To remedy these, this paper has attempted to establish a novel decision model with generalized orthopair fuzzy information (GOFI). Initially, missing values are systematically imputed. Experts' preferences were fused to obtain an aggregated matrix by considering the interdependencies among experts. Also, criteria weights were computed utilizing attitude-based entropy measures, and HCWTs were ranked using the GOFI-evaluation based on distance from average solution (GOFI-EDAS) approach. Lastly, the methodology's superiority was validated using an illustrative example, followed by a comparison with extant models. The results confirm that the developed framework is more efficient than and consistent with earlier methods under uncertainty. | eng |
dc.format | PDF | |
dc.format.extent | p. 1010-1028 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | ScienceDirect | |
dc.title | A new decision model with integrated approach for healthcare waste treatment technology selection with generalized orthopair fuzzy information | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 49 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Amrita Vishwa Vidyapeetham | |
dc.contributor.institution | Government College Raigaon | |
dc.contributor.institution | Rajiv Gandhi National Institute of Youth Development | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Rajiv Gandhi National Institute of Youth Development Amrita Vishwa Vidyapeetham | |
dc.contributor.institution | National Institute of Technology Durgapur | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.department | Tvariosios statybos institutas / Institute of Sustainable Construction | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | T 004 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | EDAS approach | |
dc.subject.en | entropy measure | |
dc.subject.en | group decision-making | |
dc.subject.en | healthcare waste | |
dc.subject.en | weighted Maclaurin operator | |
dcterms.sourcetitle | Information sciences | |
dc.description.volume | vol. 610 | |
dc.publisher.name | Elsevier | |
dc.publisher.city | New York | |
dc.identifier.doi | 1-s2.0-S0020025522009069 | |
dc.identifier.doi | S0020-0255(22)00906-9 | |
dc.identifier.doi | 85136146289 | |
dc.identifier.doi | 2-s2.0-85136146289 | |
dc.identifier.doi | 0 | |
dc.identifier.doi | 139523558 | |
dc.identifier.doi | S0020025522009069 | |
dc.identifier.doi | 000862774100002 | |
dc.identifier.doi | 10.1016/j.ins.2022.08.022 | |
dc.identifier.elaba | 139471936 | |