between different satellites with the joint vector tracking is analyzed in Section 4.
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.
Note that in order to reduce the interinfluence
caused by broadcasting query-msg and replying query-msg, we can transmit them on two different channels.
The next step is tuning and optimization due to the interinfluence
of the two different structures.
"For groups to develop to a point where there is interdependence or interinfluence
, a conscious, systematic effort must be deployed" (Murphy & Laferriere, 2005).
This revolutionary interinfluence
disposed of the old concept of the "popular," and dramatically transformed both popular song and carnival.
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.