id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_dui2nfpcc5g5zd7r7f6mnwznvy	Jui-Sheng Chou	Comparison of multilabel classification models to forecast project dispute resolutions	2012	3	.pdf	application/pdf	1862	125	40	Comparison of multilabel classification models to forecast project dispute resolutions Early forecasting of project dispute resolutions (PDRs) provides decision-support information for resolving potential procurement problems before a dispute occurs. classification and ensemble models for predicting dispute handling methods in public–private partnership (PPP) projects. the combined technique of QUEST + CHAID + C5.0 has the best classification accuracy at 84.65% in predicting dispute resolution outcomes (i.e., mediation, arbitration, litigation, negotiation, administrative resolution process is essential for PPP project success, this study focuses on identifying warnings of potential dispute resolutions prior This study applies multilabel classification models to early predict PPP dispute likelihood and potential resolutions, thereby alleviating the future adverse effects of disputes on project delivery, Differing from conventional construction project disputes, PPP project disputes may occur during the building phase, as well as among parties typically jeopardize a project plan via a time-consuming dispute resolution process that damages a government's	./cache/work_dui2nfpcc5g5zd7r7f6mnwznvy.pdf	./txt/work_dui2nfpcc5g5zd7r7f6mnwznvy.txt