语义转换影响因素评价方法研究  

Evaluation Method of Semantic Conversion Influence Factors

作　　者：熊顺[1,2,3] 刘平芝[2,3] 张卫柱[2,3] 徐道柱[1,2,3] 

机构地区：[1]信息工程大学地理空间信息学院,河南郑州450052 [2]西安测绘研究所,陕西西安710054 [3]地理信息工程国家重点实验室,陕西西安710054

出　　处：《测绘科学与工程》2016年第1期51-56,共6页Geomatics Science and Engineering

摘　　要：影响语义信息转换模型算法结果的因素很多，其模糊性和随机性的特点使模型算法的影响因素选取问题很难解决。本文分析了语义相似性算法影响因素，引入模糊数学思想，针对算法因子提出多级模糊综合评价方法，通过对算法因子的评价，为相似性模型算法因子的选取提供重要判断依据，对于提高算法模型的效率和准确度具有重要意义。Many factors have influences on the semantic conversion model, and it is difficult to select proper ones due to their fuzziness and randomness. In this paper, the influence factors of the semantic similarity algorithm are analyzed and the fuzzy mathematics is introduced. A multi - level fuzzy comprehensive evaluation method is proposed for the algorithm factor. The algo- rithm factor evaluation provides an important basis for the similarity model algorithm factor selection, and will make important contribution to the efficiency and accuracy improvement of the model.

关 键 词：语义 相似性 多级模糊评价 语义距离 

分 类 号：P231[天文地球—摄影测量与遥感]