Method for intelligently analyzing collusive bidding and bid rigging behaviors
An intelligent analysis and behavioral technology, applied in the field of auditing of bid rigging, can solve problems such as less research on the relevance of bidding quotations, and achieve the effect of ensuring the formation and healthy development of the integrity system
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Embodiment (1
[0042] Application scenario: 7 bidders participate in the bidding of a certain engineering project at the same time. The engineering project is composed of several divisional bid sections, and each division needs to provide a separate bidding price. Specific steps are as follows:
[0043] Step 1) Calculate the base price:
[0044] Calculate the average value of the comprehensive unit price (the i-th item) of each bidder in the different sub-item project list items, and define the relative arithmetic average value as μ i : Represents the price baseline (base price) of the i-th item. Where p ij Represents the quotation of the j-th unit on the i-th project, N represents the total number of bidders, and θ represents the reduction coefficient, which is set by the reviewer according to the specific project conditions, and its value is usually 95% to 100%; therefore, the benchmark price is lower than average price.
[0045] Step 2) Calculate the deviation:
[0046] Deviation σ ij Reflec...
Embodiment (2
[0067] Application scenario: 8 bidders participate in the bidding of a certain engineering project at the same time. The engineering project is composed of several divisional bid sections, and each division needs to provide a separate bidding price. Specific steps are as follows:
[0068] Analyze the bid winning model, and avoid units with low reputation or suspected bid accompaniment according to the system's blacklist prompts. Then perform subsequent analysis. According to steps 1-7 of Example (1), it is difficult to determine the degree of relevance of two or more single quotations. Therefore, it is difficult to define multiple frequent item sets of the above-mentioned stringing unit set Φ. Therefore, step 10 needs to be constructed.
[0069] Step 10) Tendency law mining accompany bid unit:
[0070] Tendency law mining accompany bidders continue to analyze bid accompany behavior based on the regularity of individual quotations. The conventional bidding prices of various units ar...
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