DocumentCode :
2076308
Title :
The Grey Comprehensive Evaluation of Bulldozer´s Designs Based on Combination Weight
Author :
Zhang, Yan ; Song, Hui ; Dai, Rui ; Zhao, Han
Author_Institution :
Sch. of Machinery & Automobile Eng., Hefei Univ. of Technol., Hefei, China
Volume :
1
fYear :
2010
fDate :
7-8 Aug. 2010
Firstpage :
422
Lastpage :
425
Abstract :
There is some difficulty in evaluating the designs of bulldozer. Being a complex mechanical system, the bulldozer has many subsystems and factors, which are interrelated, constrained mutually and interacted with each other. And its information is always incomplete and uncertain. The present methods like AHP and fuzzy comprehensive evaluation can´t solve this type of problem satisfactorily. And the result of subjective or objective method to determine weight is one-side and unsatisfactory. So, the method of the multi-objective grey situation group decision-making based on combinatorial weight was adopted in this paper. Firstly, the theory of multi-objective grey situation decision-making was introduced. Secondly, the combination weight was determined by experts grading method and entropy method. Finally, an example of how to select a optima bulldozer design was given. The evaluation result can prove that the grey comprehensive evaluation based on combinatorial weight is effective. And this method can provide decision-makers a scientific and feasible technical support.
Keywords :
combinatorial mathematics; decision making; design engineering; earthmoving equipment; grey systems; tracked vehicles; bulldozers design; combinatorial weight method; complex mechanical system; entropy method; experts grading method; grey comprehensive evaluation; group decision making; Entropy; Indexes; Land vehicles; Presses; Shape; Weight measurement; bulldozer; combination weight; design; multi-objective grey decision-making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
Type :
conf
DOI :
10.1109/ISME.2010.108
Filename :
5572243
Link To Document :
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