The decision model of the intuitionistic fuzzy group bid evaluation for urban infrastructure projects considering social costs

• Published in: Canadian journal of civil engineering Vol. 40; no. 3; pp. 263 - 273
• Main Authors: Liu, Bingsheng, Huo, Tengfei, Wang, Xueqing, Shen, Qiping, Chen, Yuan
• Format: Journal Article
• Language: English
• Published: Ottawa, ON National Research Council of Canada 01.03.2013; NRC Research Press; Canadian Science Publishing NRC Research Press
• Subjects: Applied sciences; Bids; Building economics. Cost; Buildings. Public works; City planning; Computation methods. Tables. Charts; Construction costs; Construction industry; Costs; Economic aspects; Economics; Entropy; Evaluation; Exact sciences and technology; Fuzzy; Fuzzy algorithms; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Industrial project management; Infrastructure; Infrastructure (Economics); Management; Project engineering; Project management; Project management. Process of design; Structural analysis. Stresses; Transportation planning; Urban development; Urban planning; China; Project evaluation; Bidding; Decision making; Example; Infrastructure; Social cost; Numerical simulation; Entropy; Urban area; Cost analysis; Forecast model; Modeling
• ISSN: 0315-1468; 1208-6029
• DOI: 10.1139/cjce-2012-0283

In the construction of urban infrastructure projects, the ecology, economy, and society of surrounding areas will suffer from negative influences, which will eventually be transformed into economic loss, thus social costs are formed. The current bid evaluation mechanism has not yet taken social costs into account, while the present bid evaluation model for construction projects has ignored experts' group character and fuzziness. Based on the review of literature, this paper attempts to apply the intuitionistic fuzzy group decision model to urban infrastructure projects considering social costs, and to establish the bid evaluation indicator system for urban infrastructure projects considering social costs. This paper introduces the intuitionistic fuzzy entropy, the relative entropy, the intuitionistic fuzzy cross entropy, the intuitionistic fuzzy hybrid averaging operator, and the intuitionistic fuzzy weighted averaging operator to solve respectively attribute (indicator) weights, expert weights, and the information aggregation existing in the bid evaluation of projects, as well as the optimization of the bid evaluation model of construction projects. Finally, the validity and scientific character of this model is investigated through a numerical example.