A New Approach to Construction Project Risk Assesment Based on Rough Set and Information Entropy

2008 ◽  
Author(s):  
Huawang Shi ◽  
Wanqing Li ◽  
Wenqing Meng
Keyword(s):  
Rough Set ◽  
Information Entropy ◽  
Construction Project ◽  
Project Risk ◽  
New Approach ◽  
Risk Assesment

THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

2004 ◽  
Vol 12 (01) ◽  
pp. 37-46 ◽  
Author(s):  
JIYE LIANG ◽  
ZHONGZHI SHI
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Information Entropy ◽  
Granular Computing ◽  
Rough Set Theory ◽  
Computer Applications ◽  
Mathematical Tool

Rough set theory is a relatively new mathematical tool for use in computer applications in circumstances which are characterized by vagueness and uncertainty. In this paper, we introduce the concepts of information entropy, rough entropy and knowledge granulation in rough set theory, and establish the relationships among those concepts. These results will be very helpful for understanding the essence of concept approximation and establishing granular computing in rough set theory.

Research of Wisdom Mode of Construction Program

2012 ◽  
Vol 450-451 ◽  
pp. 1365-1368
Author(s):  
Yan'an Liu ◽  
Ying Li
Keyword(s):  
System Theory ◽  
Construction Project ◽  
Positive Development ◽  
New Approach ◽  
Development And Evolution ◽  
Changing Process

This paper mainly aims at researching the process of the development and evolution in the practice of construction project. It discusses the static changing process from the aspect of system theory and establishes the framework of wisdom dynamic construction project, providing a new approach for positive development of construction project.

Fuzzy Analytic Hierarchy in Project Risk Management - New Stadium Construction Project in Weifang City

2011 ◽  
Vol 243-249 ◽  
pp. 6362-6368
Author(s):  
Yan Zhang ◽  
Chang Jiang Liu
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Project ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Management Case Study

In the field of engineering and construction, unqualified construction quality, time delays, cost more than expected phenomena to occur. Because of these characteristics such as its large-scale construction projects, long cycle, the production of single and complex, there is greater risk than the production of general products, the risk increases the difficulty of construction project management, operating costs and the possibility of potential losses, therefore, risk management emerged and become an increasingly important integral part of project management. In this paper, fuzzy analytic hierarchy be used to construction project risk assessment, and to order the sort of each risk in order to prevent significant risks. On an actual project - the new stadium construction in Weifang City risk management case study, the reduction of risk of project failure is expected, but also the project is hoped for other industries to provide some reference for risk management.

The Discretization Algorithm Based on Rough Set and its Application

2013 ◽  
Vol 416-417 ◽  
pp. 1399-1403 ◽  
Author(s):  
Zhi Cai Shi ◽  
Yong Xiang Xia ◽  
Chao Gang Yu ◽  
Jin Zu Zhou
Keyword(s):  
Intrusion Detection ◽  
Set Theory ◽  
Rough Set ◽  
Information Entropy ◽  
Rough Set Theory ◽  
Information Loss ◽  
Intrusion Detection Systems ◽  
Detection Systems ◽  
Discretization Algorithm ◽  
Response Performance

The discretization is one of the most important steps for the application of Rough set theory. In this paper, we analyzed the shortcomings of the current relative works. Then we proposed a novel discretization algorithm based on information loss and gave its mathematical description. This algorithm used information loss as the measure so as to reduce the loss of the information entropy during discretizating. The algorithm was applied to different samples with the same attributes from KDDcup99 and intrusion detection systems. The experimental results show that this algorithm is sensitive to the samples only for parts of all attributes. But it dose not compromise the effect of intrusion detection and it improves the response performance of intrusion detection remarkably.

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