Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20285
Title: The decision model of the intuitionistic fuzzy group bid evaluation for urban infrastructure projects considering social costs
Authors: Liu, B
Huo, T
Wang, X
Shen, Q 
Chen, Y
Keywords: Bid evaluation mechanism
Cross entropy
Entropy
Ifha and ifwa operators
Relative entropy
Social costs
Urban infrastructure
Issue Date: 2013
Source: Canadian journal of civil engineering, 2013, v. 40, no. 3, p. 263-273 How to cite?
Journal: Canadian Journal of Civil Engineering 
Abstract: 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.
URI: http://hdl.handle.net/10397/20285
ISSN: 0315-1468
DOI: 10.1139/cjce-2012-0283
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