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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference最新文献

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Handwritten character recognition by an adaptive fuzzy clustering algorithm 手写体字符识别的自适应模糊聚类算法
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343583
A. Sharan, S. Mitra
{"title":"Handwritten character recognition by an adaptive fuzzy clustering algorithm","authors":"A. Sharan, S. Mitra","doi":"10.1109/FUZZY.1994.343583","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343583","url":null,"abstract":"Unconstrained handwritten characters pose a serious challenge to the development of a recognition algorithm. Many approaches have been studied over the years for such a recognition algorithm. We use an adaptive neuro-fuzzy clustering algorithm for classification and recognition of handwritten characters of a variety of styles and investigate the effectiveness of Fourier coefficients as representative features of handwritten characters in the presence of noise. Our results indicate that the adaptive clustering algorithm outperforms k-means clustering in handwritten character recognition for the same data representation. However some misclassifications cannot be avoided due to inherent problems associated with large variability in handwriting styles and the presence of excessive noise in practice.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133706181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Tuning of a fuzzy classifier derived from data 基于数据的模糊分类器的调优
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343835
S. Abe, M. Lan, R. Thawonmas
{"title":"Tuning of a fuzzy classifier derived from data","authors":"S. Abe, M. Lan, R. Thawonmas","doi":"10.1109/FUZZY.1994.343835","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343835","url":null,"abstract":"In our previous work (S. Abe and M.S. Lan, 1993), we developed a method for extracting fuzzy rules directly from numerical data for pattern classification. The performance of the fuzzy classifier developed by using this methodology was comparable to the average performance of neural networks. We further develop a least square method for tuning the sensitivity parameters of fuzzy membership functions by which the generalization ability of the classifier is improved. We evaluate the method using the Fisher iris data and data for numeral recognition of vehicle license plates. The results show that when the tuned sensitivity parameters are applied, the recognition rates are improved, to the extent that performance is comparable to or better than the maximum performance obtained by neural networks, but with shorter computational time.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"173 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133088415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 37
Acquisition of fuzzy rules by data analysis of biokinetics 生物动力学数据分析的模糊规则获取
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343543
B. Ruggeri, G. Sassi
{"title":"Acquisition of fuzzy rules by data analysis of biokinetics","authors":"B. Ruggeri, G. Sassi","doi":"10.1109/FUZZY.1994.343543","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343543","url":null,"abstract":"This paper deals with the use of fuzzy mathematical approach in the description of kinetics in a bioreactor. An original procedure to handle a set of experimental data to build up a fuzzy algorithm is presented. The information is stored in IF...THEN statements for describing the experienced dominium.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
MECA: maximum entropy clustering algorithm MECA:最大熵聚类算法
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343658
N. Karayiannis
{"title":"MECA: maximum entropy clustering algorithm","authors":"N. Karayiannis","doi":"10.1109/FUZZY.1994.343658","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343658","url":null,"abstract":"This paper presents a new approach to fuzzy clustering, which provides the basis for the development of the maximum entropy clustering algorithm (MECA). The derivation of the proposed algorithm is based on an objective function incorporating a measure of the entropy of the membership functions and a measure of the distortion between the prototypes and the feature vectors. This formulation allows the gradual transition from a maximum uncertainty or minimum selectivity phase to a minimum uncertainty or maximum selectivity phase during the clustering process. Such a transition is achieved by controlling the relative effect of the maximization of the membership entropy and the minimization of the distortion between the prototypes and the feature vectors. The IRIS data set provides the basis for evaluating the proposed algorithms and comparing their performance with that of competing techniques.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114545153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 91
Fuzzy-variable structure-robust model reference adaptive combined control 模糊-变结构-鲁棒模型参考自适应组合控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343915
Ye Zhang, Zhong-Ren Liu, S. He
{"title":"Fuzzy-variable structure-robust model reference adaptive combined control","authors":"Ye Zhang, Zhong-Ren Liu, S. He","doi":"10.1109/FUZZY.1994.343915","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343915","url":null,"abstract":"This paper presents a novel fuzzy-variable structure-robust model reference adaptive combined control scheme. The characteristic of this scheme lies in the improvement of the tracking performance of uncertain plants in smoothness, steady-state accuracy and robustness. The new controller not only maintains good output-tracking property, but also removes the oscillation brought out by variable structure control by replacing the sign function in old schemes with a fuzzy control output.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116733323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A network model based on fuzzy queueing system 基于模糊排队系统的网络模型
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343551
J. Jo, Y. Tsujimura, M. Gen, G. Yamazaki
{"title":"A network model based on fuzzy queueing system","authors":"J. Jo, Y. Tsujimura, M. Gen, G. Yamazaki","doi":"10.1109/FUZZY.1994.343551","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343551","url":null,"abstract":"The purpose of this paper is to combine the ability of fuzzy set to represent more realistic situations with the well-established traditional queueing network model problem. We propose an fuzzification of M/M/1 queueing system. We also apply fuzzy set theory to the open central server network model with the fuzzy queues. Thus, we represent the characteristic and performance of open central server network model based on fuzzy queueing system.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115860634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Fuzzy inverse incremental model as tracking controller for SISO systems 模糊逆增量模型作为SISO系统的跟踪控制器
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343600
M. Joshi, P. G. Poonacha, B. Seth
{"title":"Fuzzy inverse incremental model as tracking controller for SISO systems","authors":"M. Joshi, P. G. Poonacha, B. Seth","doi":"10.1109/FUZZY.1994.343600","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343600","url":null,"abstract":"The problems encountered in using a fuzzy logic-based single neuron controller (SNC) for the tracking control of nonlinear SISO systems are shown to be overcome by the use of a fuzzy inverse incremental model (FIIM) of the same process as the tracking controller. The proposed method of tracking control uses online tuning of the universe of discourse and online identification of the FIIM. Three different algorithms for the linguistic/fuzzy modeling of SISO systems are proposed. The comparative results of using these algorithms for the tracking control of some nonlinear systems are shown.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115404533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy model based long-range predictive control 基于模糊模型的远程预测控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343668
J.V. de Oliveira, J. M. Lemos
{"title":"Fuzzy model based long-range predictive control","authors":"J.V. de Oliveira, J. M. Lemos","doi":"10.1109/FUZZY.1994.343668","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343668","url":null,"abstract":"Fuzzy model based long-range predictive control algorithms are presented. A distributed fuzzy relational model is used for forecasting. The control law seeks to minimize a multi-step performance index using a receding horizon strategy. The adaptation mechanisms deal with the linguistic maintenance of the involved membership functions. A case study is presented.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124442934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A decentralized fuzzy logic controller design 一种分散模糊控制器的设计
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343723
Z. Yeh
{"title":"A decentralized fuzzy logic controller design","authors":"Z. Yeh","doi":"10.1109/FUZZY.1994.343723","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343723","url":null,"abstract":"Presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
A tool for automatic synthesis of fuzzy controllers 一个自动合成模糊控制器的工具
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343590
A. Costa, A. De Gloria, P. Faraboschi, A. Pagni
{"title":"A tool for automatic synthesis of fuzzy controllers","authors":"A. Costa, A. De Gloria, P. Faraboschi, A. Pagni","doi":"10.1109/FUZZY.1994.343590","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343590","url":null,"abstract":"We present a two step synthesis approach to the design of VLSI fuzzy controllers. First, we derive a VHDL description of the ASIC from the problem specifications, the hardware constraints and the performance requirements. Then, we map the VHDL description to gate level description with a standard logic synthesis tool. The process is repeated until the resulting design is tuned to the global requirements of the control device in terms of performance and cost.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121875211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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