Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Han, Yongminga; b | Geng, Zhiqianga; b; * | Zhu, Qunxionga; b | Wang, Zuna; b | Cui, Yunfeia; b
Affiliations: [a] College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China | [b] Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, China
Correspondence: [*] Corresponding author. Zhiqiang Geng. E-mail: gengzhiqiang@mail.buct.edu.cn.
Abstract: The petrochemical data has characteristics of multi-dimensional, uncertainty and noisy. So it is difficult to accurately evaluate the energy consumption of the petrochemical plants based on the production data. 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’ 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.
Keywords: Data fuzzification, fuzzy analytic hierarchy process (FAHP), energy consumption estimation, ethylene plant
DOI: 10.3233/JIFS-16109
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 6, pp. 4183-4195, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl