Volume 25, Issue 2, 2024

A Prediction Model for Geotechnical Construction Project Factors Effect Using K-NEAREST Neighbor Method

Khalid Waleed Ahmed Albaker, Sepanta Naimi

> DOI: https://jeeng.net/issue/view/?id=105

Keywords

geotechnical factor, K-Nearest Neighbor Method, WASPAS, construction projects

TOPICS

Abstract

Predicting project workflow performance are the continuous routine in the tracking of key elements of project implementation performance that is: inputs (resources, equipment) activities and outputs, through recordkeeping and regular reporting through assessment of an on-going or completed project to determine its actual impact against the planned impact in relation to its design and implementation processes. One of the major effective factors on project performance is the geotechnical factors. for that, the present research developed an approach to identify the geotechnical project factors effect on building construction in Iraq. the paper specifies the Iraq as a case study due to the big verities in the geotechnical factors were specified and evaluated through previous studies, questionnaires, and interviews with experts to build a geotechnical factors database for construction projects. The geotechnical factors were established from relevant research and expert views, in the first stage of this paper, which was to designate the study regions based the Latitude and longitude coordinates of different towns in Iraq. In the second step, the researcher ranking the factors within the weighted aggregated sum product assessment (WASPAS) method using the regions characteristics. In the third phase, the K-Nearest Neighbor Method was created which evaluates the collected data to discover and assess factors. The system performance was tested and the results were significant, and the factor prognosis was excellent, according to expert opinion.