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Iranian Government has a unique opportunity to recede many existing difficulties and achieve to promoted productivity, paving the way for a competitive and co-adaptive developments in running and managing major complex projects. Present study was a combination of literature review, existing research reports and hierarchical distance-based fuzzy approach in order to manage projects addressed to Iranian government as a case study that comprises road and building construction, nuclear power, used oil and petroleum industries, new technologies (Nano and plasma), industries and waste management projects. Underpinning existing trend among frameworks of projects revealed some weakness points to lead the Iranian government for reliable establishment and implementation of projects such as resources and partnership management, lack of trust, technology replacement, deficiency of science, technology and additives promotions and change in the attitude respectively. The evaluation based on hierarchical fuzzy logic revealed the priority for diamond deposition reactors comprising HFP = MW ˃ Glow ˃ Laser ˃ AC ˃ Plasmatron ˃ DC ˃ Flame respectively. Therefore, Iranian government needs to employ a buttressed support in implementation of the plasma plants via applying nuclear power energy to reclaim and promote additives and products of industries, redesign and reproduction processes, QFD and other developing sectors.

KeywordsDecision-making models Iranian chemical industries Assessment Evaluator team DEA EIA Screening of projects.The chemical industry is part of the industries, which supply the chemicals needed by other industries through the conversion of raw materials into the required products. The current cluster study of Iranian Chemical Industries (ICI) encompassed all input and output materials streams, ICI energy demands and technologies applied based on the assessment carried out by both Iranian Industries Organization (IIO) and Iranian Environment Protection Agency (IEPA). Then the raw data were empirically evaluated via traditional to novel decision-making models, SPSS software and Excel 2013 to make a decision about the classification of ICI and pave the way for further industrial ecology studies in a certain cluster as the objective of current research. T-test analysis had presented no significant difference among the main criteria of ICI such as the number of staff, power, water, and fuel demands and the land area occupied by ICI individually. Finally, the obtained values in the weighing and ranking systems and Data Envelopment Analysis (DEA) was composed to classify ICI as a cluster ranking and prioritized them from the highest weighting value and efficiency score to the lowest one based on the main criteria and an inventory of availability.Contribution/Originality: This study contributes in the existing literature to Environmental Impact Assessment (EIA) of industrial projects conducted by the Iranian evaluator team. The screening of ICI scrutinized the existing properties of projects as a first report. The methodology employed traditionally to new decisionmaking models towards sustainable development of projects.