A decision model for construction enterprises is proposed in view of lack of data and uncertainty of quantitative relation existing in bidding decision. The ratio of bidding price of an opponent to the cost estimation of decision maker is regarded as random variable, and historical data of the ratio are diffused to monitoring points through the normal diffusion function. The probabilities and exceeding probabilities of monitoring points are estimated using the information diffusion results. Furthermore, the probability distributions of decision maker's bidding price being lower than opponent's are acquired, and profit expectations with different bidding prices of decision maker are figured out as the basis of bidding decision. The model is able to deal with bidding decision of single or multiple opponents. The case study illustrates the feasibility of this model. Finally, a new bidding decision method utilizing small sample data is presented in the paper.
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