The proposed procedure quantifies gap indices with respect to aspiration levels of EVM based on interinfluence
effects among criteria/dimensions/alternatives and systemizes the quantitative results in the context of influential network relation maps (INRM), helping managers to find routes for EVM application decisions.
Watsuji illustre ce systeme de relations avec les cinq relations definies comme fondamentales par le confucianisme (parent-enfant, souverain-sujet, mari-femme, vieux-jeune et ami-ami), mais il leur donne un aspect plus reciproque, de plus grande mutualite ou interinfluence
, notant que quelqu'un ne peut devenir parent que s'il a un enfant.
The procedure then employs the HMCDM method to quantify gap indices with respect to aspiration levels of EVM application based on interinfluence effects among factors/dimensions/alternatives within the decision framework.
First, the HMCDM model employs the DEMATEL technique to quantify interinfluence effects among decision variables and visualize the effects on an influential network relation map (INRM).
Third, based on the decision framework, the procedure uses the HMCDM model to evaluate, systemize, and visualize decision and improvement information including the following: computing interinfluence effects using the DEMATEL technique; computing influential weights using DANP; computing gap indices using modified VIKOR method; and, lastly, systemizing the decision information obtained from the previous steps on the visualized DEMATEL's INRM, showing preference of alternatives and how much improvement is required for each criterion and dimension associated with each alternative.
The second and third levels contain dimensions and factors (groups of interinfluence factors), used to evaluate the alternatives.
In this stage, the ET members first employed the DEMATEL technique to evaluate the interinfluence effects among 20 factors within the DF and averaged the results in an initial-average 20-by-20 matrix A = [[[a.
However, the DEMATEL results (Table 4) provide managers with additional information to justify the level of interinfluence among factors/dimensions to achieve the aspired EVM application.
Table 9 also contains the interinfluence effects on factors, showing valuable indications for better understanding critical elements in EVM application in different units within MND.