An Intelligent Hybrid Model for Determining Public-Private Partnership method in Iranian Water and Wastewater Industry Based on Collective Tree Algorithms
Subject Areas :
Malihe Eskandari
1
,
Mohamad Taghi Taghavi fard
2
,
Iman Raeesi Vanani
3
,
soroush ghazinouri
4
1 - Allameh Tabataba’I University
2 - َََAllameh Tabataba'i University
3 - Allameh Tabataba’I University
4 - Allameh Tabataba’I University
Keywords: Data Mining Forecasting Outsourcing, Combined Methods, Information Gain Index Gradient Boosting Random Forest,
Abstract :
One of the pillars of any country’s development is the access to safe water and sanitation and so, these projects should be implemented in the shortest possible time. In this regard, considering the existence and emergence of various methods of private sector participation, choosing the right approach has become one of the most important issues in this industry. The decision makers always need a model for selection of the best public-private partnership method in specific region or project. Using the database of partnership projects, existing information, and pattern and data mining algorithms in the water and wastewater sector, we have designed a public-private partnership (PPP) model to predict and propose a proper way to execute such projects. In this research, CRISP data mining method was applied to the data from 176 projects. After describing and understanding the data, the purging and deletion steps were performed. In the process of classification with tree techniques and machine learning, the classification and success of the projects were applied to the data and necessary analysis were performed. Based on the results, the indicators of public-private participation were extracted and prioritized. Based on the research findings, the combined COF method for deleting outliers, Entropy indices for feature selection, and Stacking methods are applied to predict project success or failure with an accuracy of 86.27%. According to the proposed model, one can easily predict the success rate of each of the contractual templates in addition to introducing the appropriate contractual template for any water and wastewater project by entering information on each new project and examine the impact of the improvement of each of the indicators.
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