摘要翻译:
投标过程中的正确决策对工程项目的成功实施有着重要的影响。管理投标程序是非常复杂和不确定的,涉及许多任务和具有不同优先事项和目标的个人的协调。如果决策过程完全依赖于直觉、主观判断或情感,就不可避免地会产生偏差和不一致的决策。在进行透明决策和良性竞争招标时,需要灵活的指导工具进行决策支持。本文对决策支持系统(DSS)技术在工程投标过程中的应用现状进行了综述。综合论述了美国、欧洲、中东和亚洲等地区大多数国家现行的一般招标程序。本文还从网上招标的特点出发,总结了网上招标的应用。除此之外,下一节还包括决策支持系统(DSS)组件的概要。此外,本文还详细讨论了DSS方法在投标过程中的应用研究。概述了目前纸质招标和网络招标过程中出现的问题。最后给出了本文的结论。
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英文标题:
《Decision Support Systems (DSS) in Construction Tendering Processes》
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作者:
Rosmayati Mohemad, Abdul Razak Hamdan, Zulaiha Ali Othman, Noor
Maizura Mohamad Noor
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最新提交年份:
2010
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence
人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
The successful execution of a construction project is heavily impacted by making the right decision during tendering processes. Managing tender procedures is very complex and uncertain involving coordination of many tasks and individuals with different priorities and objectives. Bias and inconsistent decision are inevitable if the decision-making process is totally depends on intuition, subjective judgement or emotion. In making transparent decision and healthy competition tendering, there exists a need for flexible guidance tool for decision support. Aim of this paper is to give a review on current practices of Decision Support Systems (DSS) technology in construction tendering processes. Current practices of general tendering processes as applied to the most countries in different regions such as United States, Europe, Middle East and Asia are comprehensively discussed. Applications of Web-based tendering processes is also summarised in terms of its properties. Besides that, a summary of Decision Support System (DSS) components is included in the next section. Furthermore, prior researches on implementation of DSS approaches in tendering processes are discussed in details. Current issues arise from both of paper-based and Web-based tendering processes are outlined. Finally, conclusion is included at the end of this paper.
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PDF链接:
https://arxiv.org/pdf/1004.3260