Project Selection in Construction Industry by MCDM Method and Machine Learning Approach
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 48
فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_BGS-5-4_001
تاریخ نمایه سازی: 16 بهمن 1402
چکیده مقاله:
Project selection in the construction industry plays a crucial role in ensuring the success and profitability of construction projects. Various factors, such as cost, time, quality, and resources, need to be carefully evaluated during the project selection process. This paper presents a comprehensive study on project selection in the construction industry using the Multiple Criteria Decision Making (MCDM) method combined with a machine learning approach. The objective is to provide a systematic and objective framework for project selection that considers diverse criteria and enhances decision-making accuracy in the construction industry.Project selection in the construction industry plays a crucial role in ensuring the success and profitability of construction projects. Various factors, such as cost, time, quality, and resources, need to be carefully evaluated during the project selection process. This paper presents a comprehensive study on project selection in the construction industry using the Multiple Criteria Decision Making (MCDM) method combined with a machine learning approach. The objective is to provide a systematic and objective framework for project selection that considers diverse criteria and enhances decision-making accuracy in the construction industry.
کلیدواژه ها:
نویسندگان
Lee Hu Cheni
Faculty of Computer Science and Information System, Universiti Teknologi MARA (UiTM), Malaysia
Lixiau Zhing Tai
Faculty of Computer Science and Information System, Universiti Teknologi MARA (UiTM), Malaysia