DocumentCode :
2338332
Title :
Application of fuzzy matter-element model based on entropy weight coefficient method in evaluation of comprehensive governance modes on sloping farmland
Author :
Aizheng, Yang ; Yongxia, Wei ; Zhongxue, Zhang ; Zhijuan, Qi
Author_Institution :
Water & Civil Eng. Coll., Northeast Agric. Univ., Harbin, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
634
Lastpage :
637
Abstract :
Fuzzy matter-element was applied to evaluate comprehensive governance modes on sloping farmland and established a fuzzy matter-element model based on entropy weight coefficient method. In this model, take the comprehensive governance modes as matter-element things and construct compound fuzzy matter-element using the evaluation indexes and the corresponding fuzzy values of several modes. It can avoid the problem of weight allocation effectively that using the utility value which reflected the date themselves by information entropy. Finally, it will achieve sorting and selection of the best in all modes by comparing Euclid approach degree. From the evaluation of the comprehensive governance modes (conventional tillage, subsoiling + mole drain, subsoiling + furrow damming, subsoiling + mole drain + pipe drain, subsoiling + mole drain + furrow damming, subsoiling + mole drain + pipe drain + furrow damming), the result showed that subsoiling + mole drain + pipe drain + furrow damming was the best mode.
Keywords :
entropy; fuzzy set theory; geotechnical engineering; soil; Euclid approach degree; compound fuzzy matter-element; comprehensive governance mode evaluation; comprehensive governance modes; entropy weight coefficient method; furrow damming; fuzzy matter-element model; information entropy; matter-element things; mole drain; pipe drain; sloping farmland; subsoiling; utility value; weight allocation; Robots; Entropy weight coefficient; Evaluation; Fuzzy matter-element; Sloping farmland;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219269
Filename :
6219269
Link To Document :
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