Depletion of energy and environment pollution problems are the unprecedented challenges faced by the conventional chemical industry in China. The ever-growing awareness of energy and environment protection makes sustainable development increasingly play the crucial role in China's chemical industry. Most existing methods about chemical industry evaluation are economic-oriented, which neglect the environmental and social issues, especially conicts among them. This paper develops a novel hybrid multiple criteria decision making framework under bipolar linguistic fuzzy environment based on VIKOR and fuzzy cognitive map to evaluate sustainable chemical industry. The new method captures the characteristics of uncertainty, inconsistency and complexity in the evaluation process of sustainable chemical industry. Meanwhile, combination of fuzzy cognitive map technique makes the new method consider not only the importance but also the interrelations about criteria and obtain better insight into sustainable chemical industry evaluation. A case study and comparison analysis with existing methods re ect the new proposed framework is more suitable to the needs of environment and energy protection in the sustainable chemical industry.
CITATION STYLE
Han, Y., Lu, Z., & Chen, S. (2019). A hybrid inconsistent sustainable chemical industry evaluation method. Journal of Industrial and Management Optimization, 15(3), 1225–1239. https://doi.org/10.3934/jimo.2018093
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