In a competitive construction environment, contractors are often faced with a large number of tenders that compel them to make the best decision in a limited time. In this paper, a decision support system (DSS) based on group method of data handling model (GMDH) was developed for the scoring of tenders (STs). Based on a comprehensive study of the existing literature and experts’ opinions, seven criteria were extracted, namely client, contract, company, consulting engineers, project status/situation, risk, and economic criteria as the inputs of the system. To develop the DSS, the data from 135 tenders were collected from the previous tenders of a private construction contractor. The results illustrate that the proposed model, with a negligible error, is reliable in ST. Moreover, the proposed model specifies the score of new tenders, and decision-makers (DMs) can easily make their decisions in prioritizing and evaluating new tenders. Furthermore, a sensitivity analysis was performed to address the importance of the criteria, and it was concluded that the contract related criterion is the most important principle to the contractor. Eventually, a graphical user interface was designed in a user-friendly environment which allows the decision-makers to visualize the S T.

在竞争激烈的建筑环境中，承包商经常面临大量的招标，迫使他们在有限的时间内做出最佳决定。本文开发了一种基于分组数据处理模型（GMDH）方法的决策支持系统（DSS），用于对投标书（ST）进行评分。在对现有文献和专家意见进行全面研究的基础上，提取了七个标准，即客户，合同，公司，咨询工程师，项目状态/情况，风险和经济标准作为系统的输入。为了开发DSS，从一个私人建筑承包商以前的投标中收集了135个投标的数据。结果表明，所提出的模型具有可忽略的误差，在ST中是可靠的。此外，建议的模型指定了新标书的得分，决策者（DM）可以轻松确定优先顺序和评估新标书。此外，进行了敏感性分析以解决该标准的重要性，并得出结论，与合同有关的标准是承包商最重要的原则。最终，在用户友好的环境中设计了图形用户界面，使决策者可以可视化ST。