Work

Quality Supervision Evaluation of Agent Construction Projects in Construction Stage of GIP

Year: 2013

Type: article

Abstract: The Government investment project (GIP) plays an important role in national economy in China. This paper introduces the Agent Construction System (ACS), focuses on the supervision problems of construction agent quality management in GIP. It proposes a self-control evaluation model for construction agent based on Rough Set Theory to confirm the key supervising points, and provides a agent supervision method for government. By questionnaire survey, forms an information system of the evaluation. A heuristic attribute reduction algorithm is applied in the reduction of index attribute, and then it uses the theory of attribute importance in discernibility matrix to determine the index weight. Implement reduction in quality self-control points by using MATLAB.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.295-298.2515

Authors: Yun Na Wu, He Ping Wang, Shuo Zhang, Ze Zhong Li

Institution: North China Electric Power University

Language: English

Topic: Construction Project Management and Performance

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Jilin Office of Philosophy and Social Science