Intelligent data analysis in IT project risk management based on rough set and Bayes theorem

被引：0

作者：

Lu, XY ^{[1
]}

Zhang, JL ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China

来源：

PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (12TH), VOLS 1- 3 | 2005年

关键词：

intelligent data analysis; Bayes theorem; IT project; risk management; rough set;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

IT project development is risky job, and efficient data analysis is the key for the success of project. Firstly in this paper, the basic concepts of rough set are introduced. Then, the method of combing rough set and Bayes theorem are described, especially to explain the algorithms of data analysis. Moreover, an example of IT project is given to demonstrate the new method, and find the relationship among the risk factors, explain the main reasons causing the success or fail of IT project.

引用

页码：62 / 66

页数：5

共 24 条

[11]

LIU Q, 2001, ROUGH SET ITS ILLATI

[12]

Marcio Oliveird, 2004, J SYST SOFTWARE, V70, P1

[13] Rough sets and intelligent data analysis [J].

Pawlak, Z .

INFORMATION SCIENCES, 2002, 147 (1-4) :1-12

[14] Rough sets, decision algorithms and Bayes' theorem [J].

Pawlak, Z .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 136 (01) :181-189

[15] ROUGH SETS [J].

PAWLAK, Z .

INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05) :341-356

[16] Combining rough sets and Bayes' rule [J].

Pawlak, Z .

COMPUTATIONAL INTELLIGENCE, 2001, 17 (03) :401-408

[17]

RAFTERY J, 2002, RISK ANAL PROJECT MA

[18]

REMENYI D, 2002, STOP IT PROJECT FAIL

[19] SCALING METHOD FOR PRIORITIES IN HIERARCHICAL STRUCTURES [J].

SAATY, TL .

JOURNAL OF MATHEMATICAL PSYCHOLOGY, 1977, 15 (03) :234-281

[20]

WANG GY, 2001, ROUGH SET THEORY KNO, P5

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