Title :
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
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;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.102
