Algorithm Research on Project Risk Fuzzy Evaluation

Author

Liu, Kaidi ; Hao, Jimei ; Pang, Yanjun

Author_Institution

Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China

fYear

2009

fDate

25-26 April 2009

Firstpage

160

Lastpage

164

Abstract

The core of project risk fuzzy evaluation is membership transformation, but the transformation algorithm includes redundancy that is useless for classification. In order to overcome the redundancy, we can excavate the information of the object classification hided in index membership to define the divisional right by the method of data excavation based on entropy, delete redundant index membership that are useless for classification by distinguishable weight, and extract effective value to compute object membership. Based on this, a new fuzzy comprehensive evaluation model to project risk fuzzy evaluation is proposed.

Keywords

fuzzy set theory; pattern classification; project management; risk management; software development management; algorithm research; data excavation; entropy; fuzzy comprehensive evaluation model; membership transformation; object classification; project risk fuzzy evaluation; redundant index membership; Data engineering; Databases; Educational institutions; Engineering management; Entropy; Mathematics; Project management; Risk management; Technology management; Uncertainty; divisional right; effective value; fuzzy evaluation; membership transformation; project risk;

fLanguage

English

Publisher

ieee

Conference_Titel

Database Technology and Applications, 2009 First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3604-0

Type

conf

DOI

10.1109/DBTA.2009.102

Filename

5207790