Developing an Adaptive Neuro-Fuzzy Inference System for Performance Evaluation of Pavement Construction Projects
<p dir="ltr">This study employs an adaptive neuro-fuzzy inference system (ANFIS) to identify critical success factors (CSFs) crucial for the success of pavement construction projects. Challenges such as construction cost delays, budget overruns, disputes, claims, and productivity los...
محفوظ في:
| المؤلف الرئيسي: | Okan Sirin (14603304) (author) |
|---|---|
| مؤلفون آخرون: | Murat Gunduz (16875960) (author), Hazem M. Al Nawaiseh (17906909) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
An Accurate Critical Total Drawdown Prediction Model for Sand Production: Adaptive Neuro-fuzzy Inference System (ANFIS) Technique
حسب: Fahd Saeed Alakbari (10701871)
منشور في: (2024) -
Critical Success Factors for Implementing Off-Site Modular Construction projects in UAE: A Fuzzy DEMATEL Approach
حسب: EL KHATIB, AHMAD TAHA
منشور في: (2022) -
The Study of project risk management implementation critical success factors and construction project success: A correlation Study
حسب: SHAWISH, WALEED ABDULKARIM
منشور في: (2018) -
Influence of organisational delay risk factors on project critical success factors in construction projects in the UAE
حسب: MISHU, SAIMA ISLAM
منشور في: (2018) -
Application of Tools of Quality Function Deployment and Modified Balanced Scorecard for Optimal Allocation of Pavement Management Resources
حسب: Okan Sirin (14603304)
منشور في: (2020)