Fuzzy hybrid decision support systems for improving construction competitiveness

施工管理旨在提高我们计划、预测、控制和评估项目成果的能力，以交付满足其目标的项目。 决策支持系统是施工管理的一个组成部分;它们帮助施工人员做出更好、更明智、更快的决策，以提高项目成果。 开发建筑决策支持系统的挑战在于如何建模由于语言表达的不确定性，以及如何开发有效捕获工程判断的系统，同时利用有价值的项目数据。 模糊逻辑是一种强大的建模技术，专门设计用于处理自然语言和近似推理。 本研究旨在发展模糊逻辑的基本方面之一，使其更适合于建筑应用。 它使用一种称为神经模糊建模的技术，结合联合收割机模糊逻辑，专家系统和人工神经网络开发两个工业相关的决策支持系统的建设。 施工担保是担保公司向项目业主保证承包商将遵守合同条款和条件的过程。 随着项目变得越来越复杂，承包商违约的风险也越来越大，从而导致更高的保证金标准和更高的保证金溢价。 这一趋势导致项目竞争减少，建筑成本增加，这可能会限制建造的项目数量，并损害我们的有形基础设施等基本服务。 本研究的目的是开发一个决策支持系统，以帮助债券公司在评估风险，在债券决策，以帮助保持债券的供应商的多样性，在一个水平，刺激竞争，最大限度地减少建设成本上升。 另一个决策支援系统将会发展，以协助承建商改善和优化建筑工人的生产力。 劳动生产率是建筑项目面临的最重要的不确定性之一，也是其最大的成本组成部分之一，因此是一个需要解决的关键问题。

Construction management aims to improve our ability to plan, forecast, control, and evaluate project outcomes, in order to deliver projects that meet their objectives.  Decision support systems are an integral part of construction management; they help construction personnel make better, more informed, and faster decisions to improve project outcomes.  The challenges in developing decision support systems for construction lie in how to model uncertainties that are due to linguistic expression, and how to develop systems that effectively capture engineering judgment, while at the same time making use of valuable project data.  Fuzzy logic is a powerful modeling technique that is specifically designed to handle natural language and approximate reasoning.  This research aims to develop one of the fundamental aspects of fuzzy logic to make it more suited to construction applications.  It uses a technique called neuro-fuzzy modeling to combine fuzzy logic, expert systems, and artificial neural networks to develop two industrially-relevant decision support systems for construction.  Construction bonding is the process by which a bonding company provides a guarantee to a project owner that a contractor will comply with the terms and conditions of a contract.  The risk of contractor default is becoming more significant as projects become more complex, resulting in higher bonding standards and larger premiums for bonds.  This trend has resulted in reduced competition for projects and increased construction costs, which may limit the number of projects that are constructed and compromise essential services such as our physical infrastructure.  This research aims to develop a decision support system to help bonding companies in evaluating the risks in making bonding decisions, to help maintain the availability of bonds to a diversity of contractors at a level that stimulates competition and minimizes construction cost escalation.  Another decision support system will be developed to help contractors to improve and optimize construction labour productivity.  Labour productivity is one of the most significant uncertainties facing a construction project and one of its largest cost components, making it a critical issue to address.