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In this paper, a similarity measurement formula based on Vague Set is proposed, and is used in selecting the evaluation index system, establishing the preferred vague sets. The candidate data sets in a interval is abstracted into low dimension values. Then, the optimized solution sets is calculated through obtaining the vague similarity measurements between candidate vague sets and the ideal optimal vague set. The similarity measurements between vague set is the core of such application. The simulation results reveal that using the vague optimal method in soft base selection is promising. [ABSTRACT FROM PUBLISHER]

Proposing the new formular of measuring similarity of Vague sets, deducting the filter factor indicators; extracting options; establishing the best program; constructing the Vague environment; converting the raw data into Vague Data, obtaining the Vague sets of each options and the best option Vague set; computing the similarity measure and Vague Decision, calculating the similarity measure between the options of Vague sets and the best option of the Vague sets; by the value of similarity measure the Vague Decision is achieved: the maximum value of similarity measure corresponds to the optimal solution. [ABSTRACT FROM PUBLISHER]