Analysis of Claims Causing the Quality Deficiency and Time Overruns in Construction Projects

摘要

Claims management is the process of resources using and synchronizing to progress a claim from identification and analysis and thus is done by preparation, and presentation, before it continues to negotiation and settlement. The aim of the this paper is to study the claims and its effect on the cost and the quality of the projects and then analysis these claim using modern techniques and tools The methodology of the paper divided in two part, questionnaire and the use the techniques of data mining. The modern techniques used to analysis the claims and their effect on time and quality and specially show it effect on quality as there are a lack of study regarding this object that consider important, the techniques are, fuzzy neural network, fuzzy navis bays and fuzzy k-nearest neighbor using KNIME program. The claims in the construction projects have direct impact on both time and quality, as the claim by the contractors to the owner lead to increase the duration of the projects and hence temporary suspension of the work. The fuzzy neural network show the higher accuracy compared with fuzzy Navies Bayes which also show better accuracy than fuzzy k nearest neighbor.