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In order to solve this problem, an improved fuzzy analytic hierarchy process (FAHP) algorithm based on data-driven with data fuzzification is proposed. The proposed algorithm can trade-off the subjective marks of experts\u2019 opinions. Meanwhile, it is more efficient and accurate than other methods by using the airplane purchase data. Moreover, Monthly energy consumption data were disposed by the Gaussian membership function to obtain the minimum, median and maximum values of the multi-criteria evaluation matrix. On the basis of the multi-criteria fuzzy data, energy consumption evaluation indices and comparison of different petrochemical plants can be obtained by the improved FAHP based on the triangle fuzzy number to find the best production configurations. Finally, the experimental results have shown effectiveness and practicability of the improved FAHP method. Meanwhile, it is able to point out the opportunities for improving production and energy efficiency of ethylene plants in petrochemical industries.<\/jats:p>","DOI":"10.3233\/jifs-16109","type":"journal-article","created":{"date-parts":[[2016,8,16]],"date-time":"2016-08-16T14:35:01Z","timestamp":1471358101000},"page":"4183-4195","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Energy consumption analysis and evaluation\u00a0of petrochemical industries using\u00a0an\u00a0improved fuzzy analytic hierarchy\u00a0process approach"],"prefix":"10.1177","volume":"32","author":[{"given":"Yongming","family":"Han","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"},{"name":"Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, 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