Fuzzy Comprehensive Evaluation on the Sustainable Development of Equipment Manufacturing Industry Based on Improved Algorithm

Author

Shi, Chenghua ; Zhang, Kui ; Ruan, Junhu

Author_Institution

Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

173

Lastpage

177

Abstract

The core of fuzzy comprehensive evaluation is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight, extracted valid values to compute object membership, and applied the new algorithm in fuzzy comprehensive evaluation on the sustainable development of equipment manufacturing industry.

Keywords

fuzzy set theory; machinery production industries; pattern classification; distinguishable weight; equipment manufacturing industry; fuzzy comprehensive evaluation; index membership degree; membership degree transformation; object classification; object membership degree; sustainable development; Classification algorithms; Computer aided manufacturing; Data mining; Engineering management; Environmental economics; Information technology; Manufacturing industries; Protection; Sustainable development; Technology management; equipment manufacturing industry; fuzzy comprehensive evaluation; improved algorithm; sustainable development;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-1-4244-6420-3

Electronic_ISBN

978-1-4244-6421-0

Type

conf

DOI

10.1109/IITAW.2009.90

Filename

5419470