A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation

Purpose Cement as one of the major components construction activities, releases a tremendous amount carbon dioxide (CO 2 ) into atmosphere, resulting in adverse environmental impacts and high energy consumption. Increasing demand for CO consumption has urged companies decision-makers to consider ecological efficiency affected by Therefore, this paper aims develop method capable analyzing assessing eco-efficiency determining factor Iran’s 22 local cement over 2015–2019. Design/methodology/approach This research uses two well-known artificial intelligence approaches, namely, optimization data envelopment analysis (DEA) machine learning algorithms at first second steps, respectively, fulfill aim. Meanwhile, find superior model, CCR BBC model additive DEA models measure decision processes are used. A proportional decreasing or increasing inputs/outputs is main concern measuring which neglect slacks, hence, critical limitation radial models. Thus, considering desirable undesirable outputs, non-proportional non-radial used solve problem. Additive via slack variables. Considering both input-oriented output-oriented advantages model. Findings After applying proposed Malmquist productivity index computed evaluate Although an appreciated evaluating, it fails extract unknown information. play important role step. Association rules hidden introduce three strongest rules. Finally, mining classification different tools have been applied algorithm tool. new converting two-stage single-stage obtain whole system. fix process prevent dependency on various weights. Converting outputs inputs final minimize inputs, well turning maximize positive effect process. Originality/value The performance approach provides us with chance recognize pattern recognition whole, combining techniques during selected period (five years from 2015 2019). industry foremost manufacturers naturally harmful material using by-product; specific stress given that pollution control investment output while evaluating use efficiency. significant concentration study respond five preliminary questions.