Unlike traditional AHP methods, the proposed decision-making model uses distinct mathematical tools to establish priorities for the criteria and synthesize the evaluation results.
Table 7 displays the assessment indices and ranking lists of the proposed decision-making model besides the rankings of the other approaches that have considered this biomedical problem.
Open image in new window Fig. 1 Framework of the proposed decision-making process.
The user manual for the proposed decision-making tool is given in this paper.
Algorithm of the proposed decision-making procedure enables effective classification of ceramic artefacts based on their elemental compositions determined by pEDXRF spectrometry.
The required interactions between the proposed decision-making processes are described, and their capability to exhibit robustness to unexpected changes in the radio environment is highlighted.
The proposed decision-making tool is illustrated with an example dealing with manufacturing process design but it can be applied to any kind of product or system evaluation.
Next, based on acceptable and limiting quality level criteria, tables are obtained to select the parameters of the proposed decision-making framework.
The result shows that the proposed decision-making method can effectively enhance the objectivity in design concept evaluation under subjective environment.
The proposed decision-making methods aim at indicating a critical shift from non-causal to causal system selection, which the authors strongly believe can improve the finding of optimal components in such a complex system as of EFDs.
The outcome of the proposed decision-making system helps shopping websites managers and service providers to ascertain the trust level of their websites and adequately allow them to improve the website quality.
