- 期刊
Stratified Proportional Sampling Approach to Fuzzy-Based Aggregation Assessment
並列摘要
According to the statistical random sampling method, estimation has been taken confidence interval into account in statistics due to the unknown probability for the deviations of point estimate. In terms of fuzziness or vagueness, confidence interval is defined as a range of numerical values, not a single value, so we have to discover an estimate for that interval at first. Based on the above-mentioned, in this study, we employ triangular fuzzy numbers to realize a fuzzy-based aggregation assessment by using stratified proportional sampling approach. As a result, we can obtain the best estimation of four stratified levels indeed for further fuzzy applications.
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