Identification of unbalanced bids based on grey-fuzzy evaluation method

Su, Limin; Li, Huimin; Li, Zhangmiao; Cao, Yongchao

doi:10.1139/cjce-2018-0778

Cited by 5 publications

(9 citation statements)

References 22 publications

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“…The second critical issue is how to measure the degree of unbalanced for every unit price. Unascertained mathematics (An et al, 2018) and fuzzy logic (Su et al, 2020a) were used to measure the degree of unbalanced for every unit price. Polat et al (2018Polat et al ( , 2019 proposed an unbalanced bid detection model, including eight grading systems.…”

Section: Literature Review 21 Unbalanced Biddingmentioning

confidence: 99%

“…The studies of An et al. (2018) and Su et al . (2020a, b) should build membership function based on unascertained mathematical and fuzzy theory.…”

Section: Introductionmentioning

confidence: 96%

“…For the first issue, most of existing studies utilized the engineering estimate prices to evaluate the unit prices (Arditi and Chotibhong, 2009; An et al. , 2018; Su et al ., 2020a, b). Arditi and Chotibhong (2009) detected mathematically and materially unbalanced bids by comparing line item prices with the engineer's estimates and the average prices offered by the bidders.…”

Section: Introductionmentioning

confidence: 99%

“…(2018) developed an unascertained mathematical model to detect the unbalanced bids, which model also considered line item prices with the engineer's estimates as evaluation criterion. Su et al . (2020a, b) used grey-fuzzy evaluation method based on unit prices from engineer's estimates to identify the unbalanced bids.…”

Section: Introductionmentioning

confidence: 99%

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The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

Zuo

et al. 2021

ECAM

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PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

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Section: Literature Review 21 Unbalanced Biddingmentioning

confidence: 99%

“…The studies of An et al. (2018) and Su et al . (2020a, b) should build membership function based on unascertained mathematical and fuzzy theory.…”

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

Zuo

et al. 2021

ECAM

Self Cite

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“…The result resolution of gray clustering method is low, and sometimes it does not match the actual situation (Charulatha et al, 2017). Based on the fuzzy transformation principle and membership grade theory, fuzzy comprehensive evaluation method can give full consideration to the mutual coupling among influencing factors (Su et al, 2019), effectively solve the influence of the fuzzy boundary of evaluation criteria, and can acquire more accurate and reliable evaluation results, so, it has been widely applied in various engineering fields (Liu et al, 2010). However, the traditional fuzzy comprehensive evaluation method has some deficiencies in water quality evaluation: 1.…”

Section: Introductionmentioning

confidence: 99%

Application of improved fuzzy comprehensive evaluation method in eutrophication assessment for tributary bays in the Three Gorges Reservoir, China

Chen

Shi

Zou

2020

Water Environment Research

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Since the operation of the Three Gorges Reservoir, its tributaries have been eutrophic and flooded many times, the prompt and accurate eutrophication assessment is the foundation of water environmental management for this area. To address the problems existing in the fuzzy comprehensive evaluation, a novel method is proposed to adjust the indicator weight by using the analytic hierarchy process–entropy weight method, improve the fuzzy operation method, and take the weighted average as the basis of comprehensive evaluation. Through this method, the information of each indicator can be comprehensively used, and the subjectivity and blindness of evaluation can be effectively reduced. Then the eutrophication status of Hanfeng Lake is analyzed by it, and compares the results with that of conventional methods. The results show that Hanfeng lake is greatly affected by TN and TP, and it is generally in mesotrophic to mildly eutrophication. Eutrophication degree is as follows: Nanhe River > Donghe River > Regulating dam, so the control measures should be strengthened in Nanhe area. Combined with the water pollution control measures proposed in this paper, it can provide guidance for the monitoring and treatment of eutrophication in the Three Gorges Reservoir area and ensure the safety of the water environment. Practitioner points This paper proposes to use the analytic hierarchy process–entropy weight method combined with the fuzzy operation method to assess the eutrophication status of tributaries of the Three Gorges Reservoir, in China. The results indicate that Hanfeng Lake is generally in a light eutrophication state, which is greatly affected by TN and TP, and the Nanhe River is in a relatively high degree of eutrophication, which need to be extra vigilant. The evaluation results are more conformable to reality than that of the traditional fuzzy comprehensive evaluation, which can provide guidance for comprehensive management of eutrophication.

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