Neutrosophic C-Mean Clustering Analysis of the Construction Projects Delay Causes

Abstract

This paper came in its concepts as a complement to our article entitled Ahmed A. ‘’An Overview Neutrosophic relative importance Analysis the Construction Delays of Nineveh Province After Liberation from ISIS Occupation’’ where the two papers shed light on studying the reasons for delay causes of the projects in Mosul province that have been started at the end of 2018 exactly after the city's liberation from ISIS gangs occupation, those two papers are regarded as twins in its goal since both of them used the survey (A) that attached at the end of this paper. The novelty of this manuscript, in a nutshell, is using the notion of neutrosophic c-mean clustering as a mathematical tool for analyzing the results that the authors gained by the participants' answers for the survey (A) that had been released during months of October and Nov. of the year 2020, this survey has been targeted at 1500 individuals with experience, but unfortunately, the responses came from just 250 individuals whose expertise are diverse between project owners, project designers (i.e. consulting offices), contractors, etc. The sake of this paper is to use the neutrosophic c-mean clustering method for making nine comparisons between all opinions that biased to truth, indeterminacy, and falsity situations of the thirty-one delay reasons, those reasons adapted to be fit in its biasing from the gradations of truth to gradations of falsity. The MATLABR2023 toolbox was used in programming and analysis of the inferencing results, the traditional papers that had the same aims always used either classical or fuzzy mathematical tools, this is the first paper in its type using neutrosophic theory for this kind of application, which is related to project management in civil engineering and determining the risk factors in those construction projects that finished but suffered from delays in their implementation stages.