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A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems  [PDF]
Rafik Mahdaoui,Mouss Leila-Hayet,Mohamed Djamel Mouss,Ouahiba Chouhal
International Journal of Computer Science Issues , 2011,
Abstract: Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria.
A Temporal Neuro-Fuzzy Monitoring System to Manufacturing Systems  [PDF]
Rafik Mahdaoui,Leila Hayet Mouss,Mohamed Djamel Mouss,Ouahiba Chouhal
Computer Science , 2011,
Abstract: Fault diagnosis and failure prognosis are essential techniques in improving the safety of many manufacturing systems. Therefore, on-line fault detection and isolation is one of the most important tasks in safety-critical and intelligent control systems. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the Temporal Neuro-Fuzzy Systems (TNFS) fault diagnosis within an application study of a manufacturing system. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described. Within this framework, data-processing interactive software of simulation baptized NEFDIAG (NEuro Fuzzy DIAGnosis) version 1.0 is developed. This software devoted primarily to creation, training and test of a classification Neuro-Fuzzy system of industrial process failures. NEFDIAG can be represented like a special type of fuzzy perceptron, with three layers used to classify patterns and failures. The system selected is the workshop of SCIMAT clinker, cement factory in Algeria.
Workshop collaborative scheduling method based on membership degree functions
基于隶属度函数的车间协同调度方法*

SUN Ya-nan,CHEN You-ling,WANG Chao,ZHOU Yu-jie,
孙亚南
,陈友玲,王超,周玉杰

计算机应用研究 , 2011,
Abstract: Quickly finding manufacturing bottleneck is to realize the effective method of scheduling.This paper used advanced object-oriented design ideas and the maximum membership degree principles of the fuzzy mathematics, proposed the collaborative scheduling method and scheduling production mechanism basic on bottleneck, put forward scheduling two-dimensional drawing furthermore, researched and established the production scheduling model of cooperative. Through an empirical, the optimization scheduling method realizes optimized scheduling problem of manufacturing system under the condition of limited resources.
Research on Green Degree Evaluation of Manufacturing Reverse Logistics  [PDF]
Ting Tian, Yaping Chen
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.42013
Abstract:

The contradiction between economic development and environmental deterioration makes people begin to have a further understanding of the ecology and environment. To promote effective development of reverse logistics and implementation, according to general activity process of manufacturing enterprises, this paper builds the manufacturing system model of reverse logistics. On the basis of activities in this system used to find out the main factors which influence the green degree evaluation and promote the forming of a green degree evaluation index system, it will provide related enterprises with a detection method for reverse logistics performance evaluation with the fuzzy analytic hierarchy process (FAHP) and fuzzy comprehensive evaluation method for the construction of the test system.

Research on the Fuzzy-Gray Predicative Control of Large Time Delay System
Fuzzy-Gray预测控制算法及应用

王军平,王安,敬忠良,曹卫兵
系统工程理论与实践 , 2002,
Abstract: For the control of one kind of large time delay system, a parameter self\|adapting Fuzzy\|Gray predictive control algorithm with intelligent integration is presented. It synthesizes the advantages both of the fuzzy control and of the gray predication. Simulation result shows that the algorithm is response both to the dynamic and the static characteristic of time delay system. What is more, it features a small overshoot, quick response and high static precision.
Fuzzy subgroups commutativity degree of dihedral groups  [PDF]
Hassan Naraghi,Hosein Naraghi
Mathematics , 2014,
Abstract: In this paper we introduce and study the concept of distinct fuzzy subgroups commutativity degree of a finite group G. This quantity measures the probability of two random distinct fuzzy subgroups of G commuting. We determine distinct fuzzy subgroup commutativity degree for some of finite groups.
fuzzy-gray预测控制算法及应用  [PDF]
系统工程理论与实践 , 2002,
Abstract: ?针对大滞后系统的控制,本文提出了一种带智能积分的参数自调整fuzzy-gray预测控制算法.该算法综合fuzzy控制、gray预测的长处,对大滞后系统进行控制是有效的.仿真结果表明该算法能较好地兼顾系统的动、静态特性,超调小、响应快,稳态精度高,在工业控制系统中有实用价值.
Study on the Performance Evaluation of Scientific Innovation Team in Universities Based on Gray Fuzzy Theory  [PDF]
Sha Fu,Hangjun Zhou,Dan Song,Yezhi Xiao
Information Technology Journal , 2013,
Abstract: According to the incomplete and fuzziness performance evaluation information, the performance evaluation of scientific innovation team in universities was studied based on the gray fuzzy theory, a more comprehensive set of indicator system was built to conduct a comprehensive evaluation. Based on gray system theory and fuzzy set theory, the membership and the gray-scale was introduced into the evaluating process, a gray fuzzy comprehensive evaluation model of scientific innovation team in universities was built, the feasibility and effectiveness of the model was proved through application.
A New Definition of Intuitionistic Fuzzy Similarity Degree  [PDF]
Qun Liu, Changhuan Feng
Open Journal of Statistics (OJS) , 2016, DOI: 10.4236/ojs.2016.61005
Abstract:

As far as the problem of intuitionistic fuzzy cluster analysis is concerned, this paper proposes a new formula of similarity degree with attribute weight of each index. We conduct a fuzzy cluster analysis based on the new intuitionistic fuzzy similarity matrix, which is constructed via this new weighted similarity degree method and can be transformed into a fuzzy similarity matrix. Moreover, an example is given to demonstrate the feasibility and validity of this method.

SMEs’ Degree of Openness: The Case of Manufacturing Industries
Othman Idrissia,Moulay; Amaraa,Nabil; Landrya,Réjean;
Journal of technology management & innovation , 2012, DOI: 10.4067/S0718-27242012000100013
Abstract: this paper clusters smes based on their degree of openness. in addition, it explores both the internal and external determinants of the different clusters obtained. based on a survey of 1214 firms in manufacturing industries and using both the dimensions of openness, breadth and depth, we find that smes could be clustered in four classes, depending on their degree of openness. we find that smes could adopt a closed, an open, an interactive or a user approach to innovation. with respect to the determinants of different classes of smes, the results of the logistic regression model, developed in this study, show variables such as national and regional proximities that account for explaining the likelihood that smes will be in a more open cluster rather than in a low open cluster. also, this quantitative study shows that external obstacles to innovation may lead these smes from a closed approach to innovation to an interactive, user, or open approach to innovation. finally, we find that the age of the firm is important in explaining the likelihood that smes will be in an open cluster rather than in a closed cluster.
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