|本期目录/Table of Contents|

[1]桂运金,陶文华.基于直觉模糊层次分析法的工业过程评估[J].电子设计工程,2019,27(22):1-5.
 GUI Yunjin,TAO Wenhua.Industrial process assessment based on intuitionistic fuzzy analytic hierarchy process[J].SAMSON,2019,27(22):1-5.
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基于直觉模糊层次分析法的工业过程评估(PDF)
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《电子设计工程》[ISSN:1674-6236/CN:61-1477/TN]

卷:
27
期数:
2019年22期
页码:
1-5
栏目:
测量与控制
出版日期:
2019-11-20

文章信息/Info

Title:
Industrial process assessment based on intuitionistic fuzzy analytic hierarchy process
文章编号:
1674-6236(2019)22-0001-05
作者:
桂运金陶文华
(辽宁石油化工大学 信息与控制工程学院,辽宁 抚顺 113001)
Author(s):
GUI Yun?jin TAO Wen?hua
(School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China)
关键词:
直觉模糊层次分析法 模糊转化 一致性阈值 炼焦生产过程
Keywords:
intuitionistic fuzzy analytic hierarchy process fuzzy transformation consistency threshold coking process
分类号:
TN081
DOI:
-
文献标志码:
A
摘要:
针对目前工业过程控制系统缺乏有效的监控手段,提出一种综合性能评估方法——直觉模糊层次分析法。在对直觉模糊偏好关系进行一致性检验和修正时,考虑到一致性阈值的不合理性,引入新的阈值。针对直觉模糊层次分析法原有权重计算方法所求得的权重值具有抽象性的问题,采用模糊转化方法。在保证原有信息不丢失情况下,将各指标的二维权重转化为一维权重,使得权重值更为直观。最后在炼焦生产过程的性能评估中,证明IFAHP的有效性,具有较广的应用价值。
Abstract:
In view of the lack of effective monitoring methods for industrial process control systems, a comprehensive performance evaluation method that Intuitionistic Fuzzy Analytic Hierarchy Process (IFAHP) is proposed. Considering the Irrationality of consistency threshold, a new threshold is introduced to check and correct the consistency of preference relations. Aiming at the problem that the weight value obtained by the original IFAHP weight calculation method is abstract, a fuzzy transformation method is adopted. Converting two-dimensional weights into one-dimensional weights while ensuring that the original information is not lost, making the weight values more intuitive. The evaluation of two different operation states of coking process proves that IFAHP method is effective and has wide application value.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-03-26 稿件编号:201903186基金项目:国家自然科学基金面上项目(61673199);国家自然科学基金青年基金项目(61703191)作者简介:桂运金(1993—),男,江西进贤人,硕士研究生。研究方向:工业过程的先进控制、综合性能评估
更新日期/Last Update: 2019-11-21