基于模糊综合评价的接边质量评价

Edge quality evaluation based on fuzzy comprehensive evaluation

针对传统的接边质量评价方法主要依赖专家人工评定所造成的效率低、容易受主观因素影响且评价结果易出现偏差的问题,提出了一种新的地图映射评价算子(GMO)。该算子将模糊综合评价应用到接边质量评价中,并根据国家标准确定了评价指标和评语等级,通过熵权法确定了评价因素的模糊权向量。另外,对新算子进行了理论证明。在实际数据中使用GMO时,接边前地球数据质量评价结果中65%为不合格,而接边后评价结果中55%是优秀的,验证了GMO的有效性。

Focusing on the issues of low efficiency, being easy to be influenced by subjective factors and deviation of the evaluation results caused by the traditional edge quality evaluation which relies on experts, a new mapping evaluation operator called Geographical Mapping Operator （GMO） was proposed. Fuzzy comprehensive evaluation was applied to the edge quality evaluation, and the comment rate and evaluation index were determined according to the national standard, as well as the fuzzy weight vectors of evaluation factors were determined through the entropy weight method. Besides, the new operator was proved by theory. When applying the GMO to the actual data, the unqualified quality of earth data accounts for 65% before edging, but the perfect quality of earth data accounts for 55% after edging, which indicates the effectiveness of GMO.