کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479152 1362757 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multi-attribute model for construction site layout using intuitionistic fuzzy logic
ترجمه فارسی عنوان
یک مدل چند ویژگی برای طرح بندی محل ساخت و ساز با استفاده از منطق فازی شهودی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


- Construction site layout planning is treated as a decision-making process.
- A multi-attribute decision-making model is proposed for the site layout.
- The intuitionistic fuzzy set is combined with TOPSIS for evaluation and selection.
- Linear programming is used to find the attributes' weights.
- Ten key qualitative attributes are identified for construction site layout evaluation.

Most researchers have concentrated on studying optimization models to produce optimal construction site layout plans using different algorithms, while the overall method for evaluating and selecting the best site layout generated from optimization models has received less attention. In an optimization model, construction cost is generally considered in the objective function. However, several objectives, such as security and tie-in with external transportation, are difficult to quantify in the objective function and were not considered in previous studies. This paper focuses on evaluating and selecting the construction site layout considering qualitative objectives. An intuitionistic fuzzy multi-attribute decision-making model is developed that combines intuitionistic fuzzy set theory and the technique for order preference by similarity to the ideal solution (TOPSIS). This model overcomes the shortcomings of a traditional fuzzy set when describing ambiguous and unclear circumstances by using membership functions. The application of this model for site layout selection is shown to be reasonable and effective based on data from a real construction project.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 72, Part 3, December 2016, Pages 380-387
نویسندگان
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