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

Bingsheng Liu, Tengfei Huo, Xueqing Wang, Qiping Shen, Yuan Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)263-273
Number of pages11
JournalCanadian Journal of Civil Engineering
Issue number3
Publication statusPublished - 1 Mar 2013


  • Bid evaluation mechanism
  • Cross entropy
  • Entropy
  • Ifha and ifwa operators
  • Relative entropy
  • Social costs
  • Urban infrastructure

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science(all)

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