2020
DOI: 10.3390/su12062315
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Selecting a Public Service Outsourcer Based on the Improved ELECTRE II Method with Unknown Weight Information under a Double Hierarchy Hesitant Linguistic Environment

Abstract: In present-day society, government public service outsourcing has become an irreversible trend due to the gradually increasing public pursuit of service quality and efficiency. To better meet the needs of the public and effectively improve the quality of service, it has been a crucial issue for government departments to choose the most desirable one from a series of public service outsourcers (PSOs) with distinct characteristics. In this paper, to deal with such decision problems, we propose the improved elimi… Show more

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Cited by 11 publications
(2 citation statements)
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“…Liao et al (2018) used HFLTS to extend the ELECTRE II method, and applied the new method to solve the selection of the well-performed maintenance servicing. Liu et al (2020) proposed the improved ELECTRE II method with unknown weight information under the double hierarchy hesitant fuzzy linguistic term set to deal with a selection of public service outsourcer. However, in most HFLTS studies, each linguistic term has been given equal importance or weight, which is obviously not in accordance with reality.…”
Section: Introductionmentioning
confidence: 99%
“…Liao et al (2018) used HFLTS to extend the ELECTRE II method, and applied the new method to solve the selection of the well-performed maintenance servicing. Liu et al (2020) proposed the improved ELECTRE II method with unknown weight information under the double hierarchy hesitant fuzzy linguistic term set to deal with a selection of public service outsourcer. However, in most HFLTS studies, each linguistic term has been given equal importance or weight, which is obviously not in accordance with reality.…”
Section: Introductionmentioning
confidence: 99%
“…As we all know, the MCDM method is widely applied in diverse fields [17]. Up to now, many classical decision-making techniques have studied tackling the supplier selection.…”
Section: Introductionmentioning
confidence: 99%