This proved that the dimensionless method proposed in this paper was feasible. The results of Upgraded-HDT and Game theory-HDT agreed perfectly, which not only ensured the accuracy of the evaluation results but also reduced the computation of the HDT model. Thus, the use of game theory was necessary. This showed that in game theory regarding the optimal combination of weights, the advantages of the two complement each other because both take into account the subjective initiative of people and avoid the one-sidedness of a single weighting method. The results of Game theory-HDT were the most accurate and the same as Entropy-HDT at site 4 and AHP-HDT at sites 6, 7 and 8. Hence, the use of a single weighting method could not accurately evaluate water quality. The results of AHP-HDT, although verifying the importance of expert experience in evaluating the model, were not sufficiently accurate at sites 4 and 6, while the results of Entropy-HDT at sites 7, 8 and 9 were overly optimistic and did not reflect the real situation of groundwater quality. In addition, the evaluation results of the nemerow pollution index (NPI), fuzzy comprehensive evaluation (FCE), AHP-HDT, Entropy-HDT, Game theory-HDT and Upgraded-HDT were compared and analyzed. The evaluation results of Upgraded-HDT showed that the groundwater quality of all sites was class III or better, apart from site 5, which was deeply affected by seawater intrusion and pollutant seepage. The groundwater quality data of nine sample sites in Ganjingzi district of Dalian city in 2013 were used as a case to validate the model. This new model, Upgraded-HDT, has been upgraded in three aspects: selection of the weighting method, combination of weights and simplification of the model calculation steps.
#AHP DECISION SAATY UPGRADE#
To upgrade the groundwater quality evaluation model based on the Hasse diagram technique (HDT), this paper established a new evaluation model based on game theory and HDT. Finally, common validation and evaluation procedures were reviewed to validate the proposed benchmarking solutions. This study presented the gap of the current theory and recommended a solution for handling the evaluation and benchmarking processes and overcoming the identified issues. This review also identified the research gap, challenges and open issues regarding the benchmarking and evaluation of healthcare industry 4.0 applications. For these purposes, this study provided a new representation of taxonomy on the basis of crossover between the ‘security and privacy development attribute aspect’ and ‘healthcare industry 4.0 applications based on blockchain aspect’.
This paper has been contributed on the basis of three main goals, namely, to identify the research gaps, challenges and open issues in the academic literature related to the evaluation and benchmarking of healthcare industry 4.0 applications to determine the theory gap and the recommended solution of healthcare industry 4.0 application evaluation and benchmarking and to summarise the current validation and evaluation procedures used for the recommended solution in the literature.
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