Study on an Information Process System for Appraising Key Construction Projects’ Risk

Author:

Zhao Hui1,Chen Li Ming1

Affiliation:

1. Qingdao Technological University

Abstract

The paper presents an information process system for appraising key construction projects’risk. Based on analytic hierarchy process (AHP) and principal component analysis(PCA), and, with the help of software R, An information process system for appraising key construction projects’risk is developed in this study. A case is used to demonstrate the application of this system.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference9 articles.

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3. MONTAZER GA, SABZEVARIR, KHATIRH GP. Intelligent parameter reduction using rough sets theory and sensitivity analysis. WSEAS Transaction on Systems, 2007, 6(3): 623~630.

4. TAYF E H, SHEN L X. Fault diagnosis based on rough set theory. Engineering Applications of Artificial Intelligence,2003, 16(1): 39~43.

5. LIH, SHEN L Y, LOVE P ED. ANN-based mark-up estimation system with self-explanatory capacities. Journal of Construction Engineering and Management, 1999, 125(3): 185~189.

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