基于模糊综合评价的接边质量评价

doi:10.11772/j.issn.1001-9081.2016.09.2580

计算机应用 ›› 2016, Vol. 36 ›› Issue (9): 2580-2583.DOI: 10.11772/j.issn.1001-9081.2016.09.2580

基于模糊综合评价的接边质量评价

介丹, 胡强强, 徐成武, 高保禄, 李海芳

太原理工大学计算机科学与技术学院, 太原 030024

收稿日期:2016-02-17 修回日期:2016-04-25 出版日期:2016-09-10 发布日期:2016-09-08
通讯作者: 高保禄
作者简介:介丹(1992-),女,山西运城人,硕士研究生,主要研究方向:智能信息处理;胡强强(1990-),男,江西南昌人,硕士研究生,主要研究方向:信息处理;徐成武(1974-),男,山西汾阳人,讲师,硕士,CCF会员,主要研究方向:智能信息处理;高保禄(1971-),男,山西太原人,讲师,博士,CCF会员,主要研究方向:智能信息处理;李海芳(1963-),女,山西昔阳人,教授,博士,CCF会员,主要研究方向:脑科学、智能信息处理、计算机视觉。
基金资助:
国家自然科学基金面上项目（61472270），山西省科技计划项目（20130311037-4）。

Edge quality evaluation based on fuzzy comprehensive evaluation

JIE Dan, HU Qiangqiang, XU Chengwu, GAO Baolu, LI Haifang

College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan Shanxi 030024, China

Received:2016-02-17 Revised:2016-04-25 Online:2016-09-10 Published:2016-09-08
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61472270) and the Science and Technology Plan Project of Shanxi Province (20130311037-4).

摘要/Abstract

摘要： 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。

关键词: 模糊综合评价, 接边质量评价, 算子, 熵权法

Abstract: 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.

Key words: fuzzy comprehensive evaluation, evaluation of edge quality, operator, entropy weight method

中图分类号:

TP391.41

介丹, 胡强强, 徐成武, 高保禄, 李海芳. 基于模糊综合评价的接边质量评价[J]. 计算机应用, 2016, 36(9): 2580-2583.

JIE Dan, HU Qiangqiang, XU Chengwu, GAO Baolu, LI Haifang. Edge quality evaluation based on fuzzy comprehensive evaluation[J]. Journal of Computer Applications, 2016, 36(9): 2580-2583.

参考文献

[1] 蒋勇,刘江,黄功文,等.基于ArcGIS Engine的IPointCollection接边检查法的研究[J].测绘与空间地理信息,2014,37(11):124-125.(JIANG Y, LIU J, HUANG G W, et al. Research on the quality inspection for map's border fitting based on ArcGIS engine' IPointCollection interface[J]. Geomatics and Spatial Information Technology, 2014, 37(11):124-125.)
[2] 张玉洁.基于AHP的模糊综合评价在GIS数据质量评价中的应用[J].铁路计算机应用,2007,16(8):43-45.(ZHANG Y J. Application of fuzzy comprehensive evaluation in GIS data quality based on AHP [J]. Railway Computer Application, 2007, 16(8):43-45.)
[3] 国家测绘地理信息局.CH/T 1025—2011 数字线划图(DLG)质量检验技术规程[S].北京:测绘出版社,2012:1-20.(National Bureau of Surveying and Mapping Geographic Information. CH/T 1025—2011 Technical specification for quality inspection of digital line drawing (DLG) [S]. Beijing: Surveying and Mapping Press, 2012: 1-20.)
[4] 郑伟锋,郑先昌. 基于矢量评估单元的模糊综合评价在GIS中的实现[J]. 测绘科学,2010,35(6):183-185.(ZHENG W F, ZHENG X C. Realization of fuzzy comprehensive evaluation based on vector evaluation graphics using GIS software [J]. Science of Surveying and Mapping, 2010, 35(6):183-185.)
[5] 张华,汪云甲,李永峰.基于GIS的综采地质条件模糊综合评价模型研究[J].采矿与安全工程学报,2009,26(2):187-193.(ZHANG H, WANG Y J, LI Y F. GIS-based fuzzy synthetic assessment model for geological conditions suitable for fully mechanized coal caving [J]. Journal of Mining and Safety Engineering, 2009, 26(2):187-193.)
[6] 赵泉华,宋伟东.GIS产品质量的熵权多层次模糊综合评价[J].测绘科学,2009,34(2):109-111.(ZHAO Q H, SONG W D. GIS product evaluation based on entropy weights multi-level fuzzy comprehensive assessment [J]. Science of Surveying and Mapping, 2009, 34(2):109-111.)
[7] 李京,蒋卫国,陈云浩,等.基于GIS多源栅格数据的模糊综合评价模型[J].中国图象图形学报,2007,12(8):1446-1450.(LI J, JIANG W G, CHEN Y H, et al. A fuzzy comprehensive assessment model for multi-raster data based on GIS [J]. Journal of Image and Graphics, 2007, 12(8): 1446-1450.)
[8] ZUO R, CHENG Q, AGTERBERG F P. Application of a hybrid method combining multilevel fuzzy comprehensive evaluation with asymmetric fuzzy relation analysis to mapping prospectivity [J]. Ore Geology Reviews, 2009, 35(1): 101-108.
[9] 吴克宁,杨扬,吕巧灵.模糊综合评判在烟草生态适宜性评价中的应用[J].土壤通报,2007,38(4):631-634.(WU K N, YANG Y, LV Q L. Application of fuzzy comprehensive evaluation to tobacco eco-adaptability assessment [J]. Chinese Journal of Soil Science, 2007, 38(4): 631-634.)
[10] 方大春,刘国林,王芳,等.基于GIS的土地适宜性评价模型研究[J].测绘与空间地理信息,2004,27(1):35-36.(FANG D C, LIU G L, WANG F, et al. The research on the GIS-based Land Suitability Evaluation Model (LSEM) [J]. Geomatics and Spatial Information Technology, 2004, 27(1): 35-36.)
[11] 聂艳,周勇,于婧,等.基于GIS和模糊物元分析法的农用地定级评价研究[J].农业工程学报,2004,20(5):297-300.(NIE Y, ZHOU Y, YU J, et al. Gradation of agricultural land based on GIS and the fuzzy-material analysis method [J]. Transactions of the Chinese Society of Agricultural Engineering, 2004, 20(5): 297-300.)
[12] 杜智民,王建军.基于多级模糊评价方法的公路景观评价分析[J].公路交通科技,2007,24(12):144-148.(DU Z M, WANG J J. Analysis on highway landscape evaluation based on fuzzy comprehensive evaluation [J]. Journal of Highway and Transportation Research and Development, 2007, 24(12): 144-148.)

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基于模糊综合评价的接边质量评价

Edge quality evaluation based on fuzzy comprehensive evaluation

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