Improved grey clustering evaluation method and its application in water-saving reconstruction of irrigation district
GOU Wanli1, YANG Luhua1,2*, XU Xinran1, DI Zhigang1
1.College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300384, China; 2.Tianjin Agricultural Water Conservancy Technology Engineering Center, Tianjin 300384, China
Abstract：Grey clustering evaluation method is extensively used in evaluation of multi-factor things.In this paper, an improved commonorigin clustering function with centralized parabolic function was proposed to remove the disadvantages such as grey class overlap and membership grade even change in the function.This function can be used to make evaluation indices fuzzification, and allow the evaluated results to be more reasonable and truthful.The subjective and objective optimal combination weight method was adopted to calculate the comprehensive clustering coefficient and the overlap contradiction between weight and thresholdinformation was resolved.The improved centralized parabolic function was compared with the original commonorigin grey clustering function, andthe variation trend and the final comprehensive clustering coefficient of the function were analyzed. The results show that the improved centralized parabolic function is more suitable to the actual condition than the commonorigin gray clustering does.Finally, taking Panzhuang Irrigation District as an example, an evaluation onthe water-saving reconstructionproject in the district was carried out, and the evaluated results were well consistent with the actual situation.
[1]张松滨,马晓波. 环境质量评价中的共原点灰色聚类法[J]. 化工环保,1994,14(5):1-2. ZHANG Songbin, MA Xiaobo. The common origin grey clustering method in environmental quality evaluation [J]. Environmental protection of chemical industry, 1994,14(5): 1-2.(in Chinese) [2]孙佳,杨侃,刘建林,等. 共原点灰类集对模型在河流健康评价中的应用[J]. 水资源与水文工程学报,2017,28(2):52-56. SUN Jia, YANG Kan,LIU Jianlin,et al. Application of common origin grey set pair model in river health assessment [J]. Journal of water resources and water engineering, 2017,28(2):52-56.(in Chinese) [3]马啸,李露. 基于改进灰色GM(1.1)模型的三峡库区工业废水量预测[J]. 环境工程,2018,36(1):162-167. MA Xiao, LI Lu. Prediction of industrial waste water in Three Gorges Reservoir Area based on improved grey GM(1.1)model [J]. Environmental engineering,2018,36(1): 162-167.(in Chinese) [4]陶维成,党耀国. 基于灰色关联聚类的协同过滤推荐算法[J]. 运筹与管理,2018,27(1):84-88. TAO Weicheng, DANG Yaoguo. Collaborative filtering recommendation algorithm based on grey relational clustering [J]. Operations research and management science, 2018,27(1): 84-88.(in Chinese) [5]王锦辉,费良军,王光社,等. 改进突变理论对大型灌区运行状况的综合评价[J]. 排灌机械工程学报,2015,33(5):429-433. WANG Jinhui, FEI Liangjun, WANG Guangshe, et al. Comprehensive evaluation of the operation of large irrigation districts by improved catastrophe theory [J]. Journal of drainage and irrigation machinery engineering, 2015,33(5): 429-433.(in Chinese) [6]MIERZWIAK R,XIE N, NOWAK M. New axiomatic approach to the concept of grey information [J]. Grey systems: theory and application,2018,8(2):199-209. [7]BRZYCHCZY E, KESEK M, NAPIERAJ A, et al. the use of fuzzy systems in the designing of mining process in hard coal mines[J]. Archives of mining sciences, 2014, 59(3):741-760. [8]DARVISHI D,LIU S, NASSERI S H. A new approach in animal diet using grey system theory[J]. Grey systems: theory and application,2018,8(2):167-180. [9]EMIL S, MARACINE V. The hybrid intelligent systems design using grey systems theory[J]. Grey systems: theory & application, 2015, 5(2):194-205.. [10]肖俊龙, 刘永强, 田浪,等. 熵权模糊物元模型在节水灌溉综合效益评价的应用[J]. 排灌机械工程学报, 2016, 34(9):809-814. XIAO Junlong,LIU Yongqiang,TIAN Lang, et al. Application of entropy weight fuzzy matter element model in comprehensive benefit evaluation of water saving irrigation[J]. Journal of drainage and irrigation machinery engineering, 2016, 34(9): 809-814.(in Chinese)
