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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium最新文献

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Massively parallel optical fuzzy-neuro-chaos system for processing information depicted by pictures 用于图像信息处理的大规模并行光学模糊-神经混沌系统
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583665
K. Taimano
{"title":"Massively parallel optical fuzzy-neuro-chaos system for processing information depicted by pictures","authors":"K. Taimano","doi":"10.1109/AFSS.1996.583665","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583665","url":null,"abstract":"A new optical system capable of understanding the meaning of a picture is proposed. The picture transforms and conveys instantaneously the information of the painter's imagery to viewers. This system can be formed using massively parallel optical fuzzy-neural networks that can recognize geometric patterns on the basis of incoherent optics. When the system applies the output to the input and the reference, the system can gaze and pursue a particular figure. In this system, the light intensity of the output image becomes chaotic. This change of the light intensity represents the characteristic of a thinking machine that behaves as the appreciator diverts his visual point, and interest in various parts of the picture according to a change of impression. The system understands the meaning of the picture on the basis of synthesizing impressions. The paper shows the fundamental optical diagram of this system and demonstrates that the system was able to gaze and pursue a particular figure.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134466648","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
Adaptive fuzzy control for uninterruptible power supply with three-phase PWM inverter 三相PWM逆变器不间断电源的自适应模糊控制
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583589
F. Hsu, L. Fu
{"title":"Adaptive fuzzy control for uninterruptible power supply with three-phase PWM inverter","authors":"F. Hsu, L. Fu","doi":"10.1109/AFSS.1996.583589","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583589","url":null,"abstract":"The major problems of uninterruptible power supply (UPS) with three phase PWM inverter arise from unknown nonlinear loading to and phase couplings of the inverters. In this paper, an adaptive fuzzy control is proposed to solve these problems. The control objective is to track the desired sine waveform regardless of the versatile nonlinear loading, whose bound can be represented by a fuzzy rule-base. The algorithm embedded in the proposed architecture can automatically update the fuzzy control rules and, consequently, drive the tracking errors to a designated neighborhood of zero.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132422505","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: 3
On reducing information systems by accuracy measures in rough sets 基于粗糙集精度度量的信息系统约简
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583579
H. Tanaka, S. Furuya, Y. Maeda
{"title":"On reducing information systems by accuracy measures in rough sets","authors":"H. Tanaka, S. Furuya, Y. Maeda","doi":"10.1109/AFSS.1996.583579","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583579","url":null,"abstract":"In this paper, we discuss on reducing information systems from some aspects. Assuming that some classes are more important than the other in medical diagnosis, all the classes are divided into two groups by considering importance grades of classes. In reducing attributes, the accuracy measures of the important group should not be reduced, while those of the other group can be slightly reduced. Furthermore, introducing an order relation with regard to importance grades, the given information system is reformed so that predictive rules from reformed one are permissive for patients in medical diagnosis.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132680895","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
Fuzzy control for vibration testing 振动试验的模糊控制
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583635
K. Lee
{"title":"Fuzzy control for vibration testing","authors":"K. Lee","doi":"10.1109/AFSS.1996.583635","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583635","url":null,"abstract":"In vibration testing, a shaker is controlled to produce a specified vibration spectral density. But a shaker/amplifier combination along with the fixture bolted to the shaker will seriously distort the drive signal in the process of producing a corresponding vibration. In this paper, a self-organizing fuzzy logic controller for vibration testing is proposed. The results of simulation show that the fuzzy controller can effectively overcome the distortion and nonlinearity of the vibration testing system.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133897618","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
Robust self-learning fuzzy logic controller for a class of nonlinear MIMO systems 一类非线性MIMO系统的鲁棒自学习模糊控制器
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583558
Z. Bien, Yong-Tae Kim
{"title":"Robust self-learning fuzzy logic controller for a class of nonlinear MIMO systems","authors":"Z. Bien, Yong-Tae Kim","doi":"10.1109/AFSS.1996.583558","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583558","url":null,"abstract":"A robust self-learning fuzzy controller for a class of nonlinear MIMO systems is proposed. It is well known that the self-organizing fuzzy controller proposed by Procyk is sensitive to external signals such as set-point changes and/or disturbances. Such a phenomenon is observed in the fuzzy learning controllers that use a linear combination of error states for its adaptation law. To overcome such a difficulty a new learning scheme is introduced. The proposed learning scheme is implemented by constructing the performance decision table based on the principle of sliding mode control. Experimental results show that the proposed controller is robust to external signals.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133790329","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
On the fuzzy differential equations 关于模糊微分方程
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583712
W. Congxin
{"title":"On the fuzzy differential equations","authors":"W. Congxin","doi":"10.1109/AFSS.1996.583712","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583712","url":null,"abstract":"It is well-known that, in the research on fuzzy differential equations, O. Kaleva's (1987, 1990) work is important. In this paper, we develop his work in two directions: (1) the existence and uniqueness theorem for a solution to the Cauchy problem of fuzzy differential equations; and (2) the existence theorem under a compactness-type condition to the Cauchy problem of fuzzy differential equations.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132870463","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
Models for first order rough logic applications to data mining 一阶粗糙逻辑在数据挖掘中的应用模型
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583581
T.Y. Lin, Qing Liu, Xiaoling Zuo
{"title":"Models for first order rough logic applications to data mining","authors":"T.Y. Lin, Qing Liu, Xiaoling Zuo","doi":"10.1109/AFSS.1996.583581","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583581","url":null,"abstract":"Pawlak's rough set theory has inspired many logical investigations. In their joint paper, T.Y. Lin and Q. Liu have introduced first order rough logic based on their axiomatic characterization of rough sets. In this paper, rough model are fine tuned. Two rough models an defined. Based on new rough models, completeness of rough logic system is indicated for each respective model. Pawlak information system is viewed as rough model, and data mining is formulated in terms of first order rough logic.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114613703","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: 2
Representations of rough set approximation operators 粗糙集近似算子的表示
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583541
Y.Y. Yao
{"title":"Representations of rough set approximation operators","authors":"Y.Y. Yao","doi":"10.1109/AFSS.1996.583541","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583541","url":null,"abstract":"This paper examines several equivalent representations of rough set approximation operators in finite universes. Each of them can be either constructed from a binary relation or characterized by certain axioms. Their relationships are examined.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114689460","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
A proposal of fuzzy ID3 with ability of learning for AND/OR operators 一种具有与或运算符学习能力的模糊ID3算法
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583545
I. Hayashi, J. Ozawa
{"title":"A proposal of fuzzy ID3 with ability of learning for AND/OR operators","authors":"I. Hayashi, J. Ozawa","doi":"10.1109/AFSS.1996.583545","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583545","url":null,"abstract":"The fuzzy ID3 is a powerful method to acquire fuzzy decision trees. However, the fuzzy ID3 has a couple of problems, i.e., a problem of a lack of representation and an adjusting problem. In our fuzzy ID3, AND/OR operators are formulated using t-norm and t-conorm connectives with parameters and each parameter is adjusted using golden section method. By adjusting parameters, the proposed fuzzy ID3 gives more accurate fuzzy rules for representing the data sets. If t-conorm connective is selected as AND/OR operator, the decision tree has a sub-decision tree.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114791109","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: 4
Factor selections for a system development process 系统开发过程的因素选择
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI: 10.1109/AFSS.1996.583568
Hsiao-Fan Wang, L. Lin
{"title":"Factor selections for a system development process","authors":"Hsiao-Fan Wang, L. Lin","doi":"10.1109/AFSS.1996.583568","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583568","url":null,"abstract":"A method of investigating influential factors is proposed for a system development process. According to different phases of development, multiobjective programming (MOP) models are developed from fuzzy set theory, evidence theory and probability theory. Based on the proposed MOP models, an integrated solution algorithm is designed to aid researchers to acquire complete influential factors of a system. An illustrative example of Mobile Phone Service (MPS) is provided with satisfactory results.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121452343","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
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