Advancing Fuzzy Hybrid Techniques for Competency Modeling of Construction Organizations

推进施工组织能力建模的模糊混合技术

• 批准号: 203097-2013
• 负责人: RobinsonFayek, Aminah
• 金额: $ 2.04万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636140
• 关键词: Advancing; Fuzzy; Hybrid; Techniques; Competency

The construction industry is vitally important to Canada's economy, representing over 6% of Canada's gross domestic product and employing over 7% of the Canadian workforce in 2011. In the same year, the construction sector was responsible for the most bankruptcy cases in Canada, reflecting the high level of risk and uncertainty in the construction environment. Construction owners and contractors are always exploring new approaches for assessing their competencies to improve their performance and reduce the risks of project failures. The variables that define competency are both objective, and easy to measure, and subjective, and difficult to quantify. The relationship between competencies and performance is complex and difficult to define. Fuzzy logic is a powerful modeling technique that can quantify subjective variables and uncertainty and model complex relationships between variables. This technique has been successfully applied to some aspects of construction management, but it needs further development specifically for the construction domain, which relies heavily on expert knowledge. In this research, fuzzy logic is combined with other artificial intelligence modeling techniques to create a comprehensive framework for defining and evaluating construction organizational competencies and identifying their relationship to performance. By adapting fuzzy logic for the construction domain, this research will provide improved methods of modeling uncertainty in construction and effectively capitalizing on expert knowledge, leading to better solutions for construction problems. The organizational competency assessment framework will help construction owners and contractors improve their competencies and performance and increase their competitiveness. Helping construction organizations improve their competencies will make them more profitable, improve the quality of constructed facilities, create safer and better work environments, and help employ the Canadian workforce. This research will contribute to the overall competitiveness of the Canadian construction industry on a national and global level and make a significant contribution to the Canadian economy and society.

建筑业对加拿大经济至关重要，2011年占加拿大国内生产总值的6%以上，雇用了加拿大7%以上的劳动力。同年，建筑部门是加拿大破产案件最多的部门，反映了建筑环境的高风险和不确定性。建筑业主和承包商一直在探索新的方法来评估他们的能力，以提高他们的业绩，减少项目失败的风险。定义胜任力的变量既有客观的，易于衡量，也有主观的，难以量化。能力与业绩之间的关系是复杂的，难以界定。模糊逻辑是一种强大的建模技术，可以量化主观变量和不确定性，并对变量之间的复杂关系进行建模。这种技术已经成功地应用于施工管理的某些方面，但它需要进一步发展，特别是在建筑领域，这在很大程度上依赖于专家知识。在这项研究中，模糊逻辑与其他人工智能建模技术相结合，创建一个全面的框架，定义和评估施工组织能力，并确定其关系的性能。通过适应模糊逻辑的建设领域，本研究将提供改进的方法建模的不确定性，在建设和有效地利用专家知识，从而更好地解决建设问题。组织能力评估框架将帮助建筑业主和承包商提高他们的能力和业绩，提高他们的竞争力。帮助建筑组织提高他们的能力将使他们更有利可图，提高建筑设施的质量，创造更安全和更好的工作环境，并帮助雇用加拿大劳动力。这项研究将有助于加拿大建筑业在国家和全球层面的整体竞争力，并为加拿大经济和社会做出重大贡献。