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

Volume

7

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

3591

Lastpage

3594

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EMEIT.2011.6023841

Filename

6023841