首页|An Embedded Optimal Algorithm for the Purchase Decision Model
An Embedded Optimal Algorithm for the Purchase Decision Model
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NSTL
In this paper, we propose an embeded optimal algorithm for establishing the purchase decision model of PC hardware. First of all, we submit the nobly four phases those construct the process of PC purchase decision model. The four phases are: Phase I- Hardware Environment, Phase II- Future System Expansion, Phase III- System Support and Phase IV- Price Evaluation. And we list the detailed factor items for the PC purchase decision model. Subsequently, we propose a statistical method to establish the questionnaire process to collect the weighing data. After the data analysis process, the sub-optimal PC Brands would be selected by the prososed algorithm. Finally, the prososed algorithm can make an optimal decision for the PC Brand. The statistical results would become the precious database for consumers' decision making while purchasing PC.
NSTL
