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- Title
Identification of unbalanced bids based on grey-fuzzy evaluation method.
- Authors
Su, Limin; Li, Huimin; Li, Zhangmiao; Cao, Yongchao
- Abstract
To provide theoretical reference for owners to identify unbalanced bids, this paper aims to construct an identification method based on grey relational and fuzzy set theory. Firstly, to measure the closeness degree between bidding unit price from engineering's estimated price, grey relational analysis theory is used to express the relationship between them. Secondly, a combined weight method determining all line items is calculated through integrating analytic hierarchy model and maximizing deviation method. Thirdly, based on fuzzy set theory, the membership degree and the fuzzy relation matrix are constructed, and then a fuzzy comprehensive identification method is established to identify unbalanced bidding. Fourthly, on the basis of fuzzy comprehensive identification method, the scoring set and total score vector are designed, and the rank of unbalanced bids is obtained by total score vector. Finally, a practical construction project bidding is stated to illustrate the effectiveness and practicability of the proposed method.
- Subjects
GREY relational analysis; EVALUATION methodology; BIDS; SET theory; FUZZY sets
- Publication
Canadian Journal of Civil Engineering, 2020, Vol 47, Issue 3, p272
- ISSN
0315-1468
- Publication type
Article
- DOI
10.1139/cjce-2018-0778