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张世强
《中国工程科学》 2003年 第5卷 第9期 页码 27-31
给出了一类连续模糊算子。从应用的观点出发,分析了常用的三角范算子与连续模糊算子之间的关系。提出了一个新的模糊综合评判标准和方法,指出新的模糊综合评判标准和方法的重要特性在于直接使用未转换的数据,避免丢失原始信息,避免增加干扰信息。对于不同文献中的相关结论,用此标准容易判断出那篇的结论最好。
张虹,李歧强,郭庆强,张鹏,高远
《中国工程科学》 2005年 第7卷 第12期 页码 92-102
系统地总结了生产调度问题的各种传统建模方法, 并就模糊数学理论和传统建模及智能方法的结合, 综述了目前生产调度的模糊建模方法的研究进展和成果,提出了几个具有前途和代表性的关于这类问题的研究方法, 以期为这类问题的研究指出可行的道路和方向。
Seismic vulnerability assessment of water supply network in Tianjin, China
Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG
《环境科学与工程前沿(英文)》 2014年 第8卷 第5期 页码 767-775 doi: 10.1007/s11783-014-0632-6
关键词: water supply network seismic vulnerability assessment finite element fuzzy mathematics
白煜超
《中国工程科学》 2006年 第8卷 第1期 页码 58-62
概述了新经济时代对供应链管理模式的影响,提出了以智能数学为基础,应用智能模型方法解决现代物流中复杂问题的思路,并结合SWOT分析给出了应用实例。
阮奇,陈文波,黄诗煌,叶长燊
《中国工程科学》 2001年 第3卷 第4期 页码 36-41
建立了有冷凝水闪蒸和额外蒸汽引出的复杂并流多效蒸发系统的数学模型, 常规并流多效蒸发模型只是该模型的一个特例。提出一种新算法--迭代法结合矩阵法求解模型并给出算法框图。算例表明新算法比常用的牛顿迭代法和Broyden法效率更高,具有对初值要求不高、收敛稳定性好、收敛速度快等优点。对三效并流蒸发蔗糖水溶液系统,采用冷凝水闪蒸和引出额外蒸汽将原料液从26.7 ℃预热至90 ℃,约可节省16%的加热生蒸汽,节能效果显著。
An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support
Zeshui XU, Shen ZHANG
《工程管理前沿(英文)》 2019年 第6卷 第2期 页码 163-182 doi: 10.1007/s42524-019-0017-4
关键词: hesitant fuzzy set hesitant fuzzy preference relation group decision-making
A novel approach for remanufacturing process planning considering uncertain and fuzzy information
《机械工程前沿(英文)》 2021年 第16卷 第3期 页码 546-558 doi: 10.1007/s11465-021-0639-1
关键词: remanufacturing uncertain and fuzzy information process planning T-S FNN
曹炳元
《中国工程科学》 2001年 第3卷 第3期 页码 52-55
Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR
《能源前沿(英文)》 2013年 第7卷 第3期 页码 307-316 doi: 10.1007/s11708-013-0269-3
关键词: power system oscillations thyristor controlled series capacitor (TCSC) type-2 fuzzy logic system interval type-2 fuzzy logic controller (IT2FLC)
Doubly-fed induction generator drive based WECS using fuzzy logic controller
Abdelhak DIDA,Djilani BEN ATTOUS
《能源前沿(英文)》 2015年 第9卷 第3期 页码 272-281 doi: 10.1007/s11708-015-0363-9
关键词: fuzzy logic wind turbine vector control doubly-fed induction generator (DFIG)
Statistical process control with intelligence using fuzzy ART neural networks
Min WANG, Tao ZAN, Renyuan FEI,
《机械工程前沿(英文)》 2010年 第5卷 第2期 页码 149-156 doi: 10.1007/s11465-010-0008-y
关键词: statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time series analysis
Hui LI, Ruiqin LI, Jianwei ZHANG
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 353-362 doi: 10.1007/s11465-020-0620-4
关键词: sliding-mode control robot control discrete-time uncertain systems fuzzy logic
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
《机械工程前沿(英文)》 2013年 第8卷 第4期 页码 429-442 doi: 10.1007/s11465-013-0277-3
Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.
关键词: electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)
Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN
《工程管理前沿(英文)》 2021年 第8卷 第1期 页码 32-47 doi: 10.1007/s42524-019-0082-8
关键词: megaproject innovation adoption project network system dynamic fuzzy logic
标题 作者 时间 类型 操作
Seismic vulnerability assessment of water supply network in Tianjin, China
Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG
期刊论文
An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support
Zeshui XU, Shen ZHANG
期刊论文
A novel approach for remanufacturing process planning considering uncertain and fuzzy information
期刊论文
An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations
Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR
期刊论文
Doubly-fed induction generator drive based WECS using fuzzy logic controller
Abdelhak DIDA,Djilani BEN ATTOUS
期刊论文
Statistical process control with intelligence using fuzzy ART neural networks
Min WANG, Tao ZAN, Renyuan FEI,
期刊论文
Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with
Hui LI, Ruiqin LI, Jianwei ZHANG
期刊论文
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
期刊论文