Title :
Research on model of agricultural machinery selection based on principal component projection
Author :
Changyou Wu ; Jiajie Shang
Author_Institution :
Sch. of Manage. Sci. & Eng., Shandong Inst. of Bus. & Technol., Yantai, China
Abstract :
On the basis of existing literature, principal component projection method was studied systematically, its basic principle and procedures were given, and this method was applied to the selection of agricultural machinery, the principal components projection model was developed for the selection of agricultural machinery. Finally, the verification test was carried out for the selection of combined harvester; the result shows this model is scientific and feasible. This method overcomes man-made factors in weight values of fuzzy comprehensive evaluation method and grey system evaluation method, meanwhile, the new method is provided for the selection of farm machinery.
Keywords :
agricultural machinery; fuzzy set theory; grey systems; principal component analysis; agricultural farm machinery selection; combined harvester selection; fuzzy comprehensive evaluation method; grey system evaluation method; principal component projection method; verification test; Agricultural machinery; Biological system modeling; Educational institutions; Equations; Indexes; Mathematical model; agricultural machinery; model; principal component projection method;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023841