2019
DOI: 10.3846/ijspm.2019.10851
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Hesitant Fuzzy Linguistic Dnma Method With Cardinal Consensus Reaching Process for Shopping Mall Location Selection

Abstract: The hesitant fuzzy linguistic term set is an effective tool to express qualitative evaluations since it is close to human reasoning and expressing habits. In this paper, we propose a multi-expert multi-criterion decision-making method integrating the double normalization-based multi-aggregation (DNMA) method with a cardinal consensus reaching process, where the assessments of alternatives over multiple criteria are expressed as hesitant fuzzy linguistic term sets. To do so, the DNMA method involving double nor… Show more

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Cited by 9 publications
(4 citation statements)
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References 34 publications
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“…To conquer this issue, Liao and Wu [39] intended a new utility value-based approach, called the DNMA framework, which takes the benefits of different normalization methods, as well as AOs, and combines them in an appropriate way. Nie et al [56] proposed a multi-expert MADA by combining DNMA with a "cardinal consensus reaching process (CCRP)" under "hesitant fuzzy linguistic term sets (HFLTSs)" settings. Lai et al [57] gave a Z-number-based DNMA methodology to deal with the beneficial, non-beneficial, and target types for sustainable cloud service provider development.…”
Section: Dnma Methodsmentioning
confidence: 99%
“…To conquer this issue, Liao and Wu [39] intended a new utility value-based approach, called the DNMA framework, which takes the benefits of different normalization methods, as well as AOs, and combines them in an appropriate way. Nie et al [56] proposed a multi-expert MADA by combining DNMA with a "cardinal consensus reaching process (CCRP)" under "hesitant fuzzy linguistic term sets (HFLTSs)" settings. Lai et al [57] gave a Z-number-based DNMA methodology to deal with the beneficial, non-beneficial, and target types for sustainable cloud service provider development.…”
Section: Dnma Methodsmentioning
confidence: 99%
“…The overall integration function of DNMA approach widely considers the subordinate utility degrees and the ranks of options, and thus the overall priority outcome has high dependability. Nie et al [45] proposed a multi-expert MCDM technique by combining a DNMA approach with cardinal consensus reaching procedure under "hesitant fuzzy linguistic term sets (HFLTSs)". Lai et al [46] studied a Z-number-based DNMA methodology to treat with the form of beneficial, non-beneficial, and target types for sustainable cloud service provider development.…”
Section: Dnma Methodsmentioning
confidence: 99%
“…Very recently, Lai and Liao (2021) proposed a CRITIC objective weighting method based DNMA with D numbers to evaluate blockchain platforms. Besides, Wu et al (2020), Nie et al (2019), , and Wang and Rani (2021) applied it successfully in different fields.…”
Section: Dnmamentioning
confidence: 99%