Performance Evaluation of Human Resources Based on Linguistic Neutrosophic Maclaurin Symmetric Mean Operators

Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method

“…From Table 7 , it is clear that whether using the proposed method or the method in aboriginal literature, the same optimal alternative is always obtained in different examples. Furthermore, same evaluation results can be obtained in most cases when solving the decision-making problems with the proposed method and the corresponding aboriginal literature [ 34 , 46 , 48 , 63 ]. Although there are some differences between the decision-making result with method in literature [ 47 ] and that with our method, the best alternative can be still distinguished.…”

“…From Table 5 , it can be seen that compared with the methods based on LNWAA/LNWGA operators [ 34 ], our method can consider the interrelationships of inputs; compared with the methods in [ 46 , 48 , 63 ], the interactions of input arguments and itself are also taken into account in the proposed approach; and compared with the methods based on LNIGWHM/ LNIGGWHM operators [ 47 ], the Einstein operations of LNNs are adopted in our method to improve its flexibility in practice.…”

“…Different kinds of aggregation operators have been explored in linguistic neutrosophic circumstances. For example, Fang and Ye [ 34 ] defined the linguistic neutrosophic weighted arithmetic averaging (LNWAA) operator and linguistic neutrosophic weighted geometric averaging (LNWGA) operator; Liu and You [ 45 ] studied some linguistic neutrosophic Hamy mean operators; Fan et al [ 46 ] put forward the linguistic neutrosophic normalized weighted Bonferroni mean (LNNWBM) operator and linguistic neutrosophic normalized weighted geometric Bonferroni mean (LNNWGBM) operator; Liang et al [ 47 ] came up with the idea of the linguistic neutrosophic improved weighted Heronian mean (LNIWHM) operator and linguistic neutrosophic improved geometric weighted Heronian mean (LNIGWHM) operator; Luo et al [ 48 ] developed the linguistic neutrosophic Maclaurin symmetric mean (LNMSM) operators to cope with performance evaluation of human resources; and Li et al [ 49 ] considered the weight Muirhead Mean operators to allocate reliability indicators in engineering fields. Among them, both the Bonferroni mean and Heronian mean operators can convey the correlations of evaluation indexes [ 50 ].…”

A Consensus-Based 360 Degree Feedback Evaluation Method with Linguistic Distribution Assessments

“…However, due to the qualitative nature of evaluation criteria, limited capacity of evaluators, and time constraints, evaluators may hesitate among multiple assessment values. Consequently, linguistic assessment approaches have been employed [40,41,57,58]. Andrés et al [58] presented a multigranular linguistic 360 degree feedback evaluation model using a symbolic approach based on the fuzzy linguistic two-tuple.…”

A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies

“…The Neutrosophic Set (NS) can deal with uncertain, indeterminate, and discordant information, where the indeterminacy is explicitly quantified, and truth membership, indeterminacy membership, and falsity membership are all fully independent. After that, some types of NSs have been proposed (Lupiáñez, 2009;Wang et al, 2010;Ye, 2014;Ulucay et al, 2018;Liu and Cheng, 2020;Edalatpanah, 2020;Luo al., 2022). Furthermore, in neutrosophical literature, several applications such as facility location and routing (Deveci et al, 2021), SSP (Pamucar et al, 2020), social failure detection (Torkayesh et al, 2022), linear programming (Edalatpanah, 2019;Das et al, 2021) and , time series models (Pattanayak et al, 2022), DEA ( Mao et al, 2020), SPP (Kumar et al, 2019), MCDM (Deli et al, 2021), etc.…”