dc.contributor.author | Krishankumar, Raghunathan | |
dc.contributor.author | Ravichandran, Kattur Soundarapandi | |
dc.contributor.author | Premaladha, Jayaraman | |
dc.contributor.author | Kar, Samarjit | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.date.accessioned | 2023-09-18T17:17:51Z | |
dc.date.available | 2023-09-18T17:17:51Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/121630 | |
dc.description.abstract | With fast-growing interest in sustainable healthcare management, proper selection and evaluation of hospitals become highly essential. Generally, experts/decision-makers (DMs) prefer qualitative information for rating objects. Motivated by this idea, in this paper, a linguistic hesitant fuzzy set (LHFS) is adopted for elicitation of preference information. The LHFS provides qualitative preferences of DMs as well as reflects their hesitancy, inconsistency, and vagueness. Motivated by the power of LHFS, in this paper we present a new decision framework that initially presents some operational laws and properties. Further, a new aggregation operator called simple linguistic hesitant fuzzy weighted geometry (SLHFWG) is proposed under the LHFS context that uses the strength of power operators. Some properties of SLHFWG are also investigated. Criteria weights are estimated using a newly proposed linguistic hesitant fuzzy statistical variance (LHFSV) method, and objects are ranked using the newly proposed linguistic hesitant fuzzy VIKOR (visekriterijumska optimizacijai kompromisno resenje) (LHFVIKOR) method, which is an extension of VIKOR under the LHFS context. The practicality and usefulness of the proposal are demonstrated by using a hospital evaluation example for sustainable healthcare management. Finally, the strengths and weaknesses of the proposal are realized by comparison with other methods. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-21 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | INSPEC | |
dc.source.uri | http://www.mdpi.com/2071-1050/10/8/2608/htm | |
dc.title | A decision framework under a linguistic hesitant fuzzy set for solving multi-criteria group decision making problems | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
dcterms.references | 57 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | SASTRA University | |
dc.contributor.institution | National Institute of Technology Durgapur | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.department | Tvariosios statybos institutas / Institute of Sustainable Construction | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | group decision making | |
dc.subject.en | hesitant fuzzy set | |
dc.subject.en | hospital evaluation | |
dc.subject.en | linguistic hesitant fuzzy set and Standard variance | |
dcterms.sourcetitle | Sustainability | |
dc.description.issue | iss. 8 | |
dc.description.volume | vol. 10 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 2-s2.0-85050502796 | |
dc.identifier.doi | 000446767700024 | |
dc.identifier.doi | 10.3390/su10082608 | |
dc.identifier.elaba | 30057816 | |