Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583665
K. Taimano
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583672
Guna Wang
Fuzzy reasoning and fuzzy logic are two related but different research fields such that both are fruitful but have not yet been well linked. The aim of the paper is to: (i) prove that it is impossible to keep all theorems in classical propositional calculus to be tautologies in fuzzy propositional calculus; (ii) establish a so called quasi-formal deduction system and prove the corresponding soundness theorem; and (iii) revise, clear and set a logic foundation for the concepts of fuzzy modus ponens and fuzzy modus tollens.
{"title":"Fuzzy reasoning and fuzzy logic","authors":"Guna Wang","doi":"10.1109/AFSS.1996.583672","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583672","url":null,"abstract":"Fuzzy reasoning and fuzzy logic are two related but different research fields such that both are fruitful but have not yet been well linked. The aim of the paper is to: (i) prove that it is impossible to keep all theorems in classical propositional calculus to be tautologies in fuzzy propositional calculus; (ii) establish a so called quasi-formal deduction system and prove the corresponding soundness theorem; and (iii) revise, clear and set a logic foundation for the concepts of fuzzy modus ponens and fuzzy modus tollens.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"325 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":"132588577","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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583589
F. Hsu, L. Fu
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583635
K. Lee
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583558
Z. Bien, Yong-Tae Kim
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583712
W. Congxin
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583581
T.Y. Lin, Qing Liu, Xiaoling Zuo
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583541
Y.Y. Yao
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583545
I. Hayashi, J. Ozawa
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.
{"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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583568
Hsiao-Fan Wang, L. Lin
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.
{"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}
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