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Proceedings of 1995 IEEE International Conference on Fuzzy Systems.最新文献

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An approach towards linguistic instructions understanding using the concept of flexible linguistic variables 用灵活语言变量的概念来理解语言指令
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409793
A. Bastian
{"title":"An approach towards linguistic instructions understanding using the concept of flexible linguistic variables","authors":"A. Bastian","doi":"10.1109/FUZZY.1995.409793","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409793","url":null,"abstract":"Humans often face situations where they have to perform a very crisp and precise action based on a given linguistic instruction which is essentially imprecise. One might view a linguistic instruction as a set of almost infinite crisp solutions where the receiver finally selects one of those solutions to execute the command. Recently, fuzzy set theory has been proposed to realize a better human-machine interaction. Yet, it is very difficult to embed the perhaps most important ability of human in natural language understanding, namely to interpret a linguistic instruction situation dependent. Based on the recently proposed concept of a flexible linguistic variable by the author (1994), an approach towards situation dependent understanding of linguistic instructions is proposed and demonstrated by a simple simulation experiment.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105400","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 tracking control for disk file servo 磁盘文件伺服的模糊跟踪控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409921
Yung-Kaw Chen, Hon-E Chen, J. Yen
{"title":"Fuzzy tracking control for disk file servo","authors":"Yung-Kaw Chen, Hon-E Chen, J. Yen","doi":"10.1109/FUZZY.1995.409921","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409921","url":null,"abstract":"The design and implementation of a fuzzy logic controller on a computer disk drive track-following servo system with the Texas Instruments TMS320C30 digital signal processor board is presented. The research is part of the ongoing effort to design a single fuzzy logic controller which will handle both the track following and seeking motions of the disk head servomechanism. The integrated fuzzy logic controller is expected to reduce the switching transients between the following and the seeking motions, which is the bottleneck for current disk head servo controller design. A Zentek 3100 disk drive is modified to accommodate the fuzzy logic control loop. The control rules are constructed by considering the track error and the track-crossing error. The experimental results are presented, which show that the proposed fuzzy logic controller can achieve satisfactory performance.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128216248","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
Logical filtering in solving fuzzy relational equations 求解模糊关系方程的逻辑滤波
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409757
K. Hirota, W. Pedrycz
{"title":"Logical filtering in solving fuzzy relational equations","authors":"K. Hirota, W. Pedrycz","doi":"10.1109/FUZZY.1995.409757","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409757","url":null,"abstract":"The paper introduces an idea of logical filtering viewed as a new tool for solving fuzzy relational equations. Considering the panoply of the existing methods, the proposed approach can be classified as a semi-analytic method in the sense it departures from the individual analytical solutions to the individual equations in the system and combines them through an optimization process of logical filtering (masking). Several types of filtering are studied and provided with the detailed learning schemes.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131904","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
The design of a fuzzy constraint-base controller for a dynamic control system 基于模糊约束的动态控制系统控制器设计
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409804
Ching-Yu Tyan, Paul P. Wang, D. Bahler, S. Rangaswamy
{"title":"The design of a fuzzy constraint-base controller for a dynamic control system","authors":"Ching-Yu Tyan, Paul P. Wang, D. Bahler, S. Rangaswamy","doi":"10.1109/FUZZY.1995.409804","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409804","url":null,"abstract":"Despite the successes of rule-based fuzzy logic control, this paradigm offers only a small part of the expressive competence of the first-order predicate calculus (FOPC). In addition, because constraints represent the requirements that the artifact being designed must satisfy, the design can be viewed as exploring alternatives in a solution space bounded by these constraints. Hence, constraints are suitable to the task of modeling the controller in a dynamic control system so that the output is governed to a desired state as specified by the constraints. The concept of \"fuzzy constraints\" in problem solving is introduced and some basic definitions of fuzzy constraint processing in a constraint network are addressed. Then a fuzzy local propagation inference mechanism for reasoning about imprecise information in a network of constraints is proposed. Moreover, we advance the concurrent fuzzy logic controller (FLC) to a new type of controller, the fuzzy constraint-based controller (FCC) using a more general predicate calculus and first-order logic knowledge representation and taking advantage of the idea of fuzzy constraint processing to model practical dynamic control systems. Finally, simulation results also show that a FCC achieves equivalent performance as PD type and PI type FLCs and also demonstrates superior outcomes to a conventional PID controller in terms of rise time and peak percent overshoot.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132178171","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: 9
A fuzzy development tool for easy prototyping: TIL Shell 3.0 BE 一个易于原型化的模糊开发工具:TIL Shell 3.0 BE
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410033
E. Vombrack, M. Togai, Y. Toki, A. Miyata
{"title":"A fuzzy development tool for easy prototyping: TIL Shell 3.0 BE","authors":"E. Vombrack, M. Togai, Y. Toki, A. Miyata","doi":"10.1109/FUZZY.1995.410033","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410033","url":null,"abstract":"TIL Shell 3.0 BE is a software development tool which provides a way to design fuzzy logic systems through manipulating a mouse in the GUI environment. A graphical point and click scheme provides a non-program design environment. In addition, TIL Shell 3.0 BE has a superb debugging capability, which provides a 3D view of a control surface and facilitates to evaluate a fuzzy system. TIL Shell 3.0 BE can be used to develop fuzzy systems for industrial machine control, aerospace, processing control, expert system, computer information processing, medical diagnosis, business support tools, or any other area in which fuzzy logic is applicable.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"373 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610838","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 structural modeling based on FISM/fuzzy 基于FISM/ Fuzzy的模糊结构建模
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409977
T. Mitamura, A. Ohuchi
{"title":"Fuzzy structural modeling based on FISM/fuzzy","authors":"T. Mitamura, A. Ohuchi","doi":"10.1109/FUZZY.1995.409977","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409977","url":null,"abstract":"Computer-supported cooperative work (CSCW) has emerged in the middle of the 80s as an identifiable research field focused on the role of computer technology in group work. CSCW examines how people work together in groups and how computer technology can support them. FISM (flexible interpretive structural modeling) developed by the author, is a method to develop structural models of complex systems. In this paper, FISM is extended to develop a new idea processing method: FISM/fuzzy. FISM/fuzzy is a fuzzy version of FISM. Some theoretical results which enable to model logically and efficiently are derived. The process of construct the structure of complex systems by FISM/fuzzy is called the FISM/fuzzy session. Outline of the FISM/fuzzy session is described and efficiency of the session is proposed. An illustrated example is shown.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114069337","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: 5
Radial basis function based adaptive fuzzy systems 基于径向基函数的自适应模糊系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409688
K. Cho, Bo-Hyeun Wang
{"title":"Radial basis function based adaptive fuzzy systems","authors":"K. Cho, Bo-Hyeun Wang","doi":"10.1109/FUZZY.1995.409688","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409688","url":null,"abstract":"This paper describes a fuzzy system with adaptive capability to extract fuzzy IF-THEN rules from input and output sample data. The proposed system, called radial basis function (RBF) based adaptive fuzzy system (AFS), employs the Gaussian functions to represent the membership functions of the premise part of fuzzy rules. Three architectural deviations of the RBF based APS are also presented according to different consequence types. These provide versatility of the network to handle arbitrary fuzzy inference schemes. We present examples of classification and time series prediction to illustrate how to solve these problems using the RBF based AFS. We also compare the results of our approach with those of others to demonstrate its validity and effectiveness.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1024 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995227","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: 17
A GA-based fuzzy controller with sliding mode 一种基于遗传算法的滑模模糊控制器
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409821
Sinn-Cheng Lin, Yung-Yaw Chen
{"title":"A GA-based fuzzy controller with sliding mode","authors":"Sinn-Cheng Lin, Yung-Yaw Chen","doi":"10.1109/FUZZY.1995.409821","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409821","url":null,"abstract":"In this study, the genetic algorithms are applied to find out a nearly optimal fuzzy rule-base for fuzzy sliding mode controller in the sense of fitness. In conventional fuzzy logic controllers (FLC), linearly increasing in either input variables or input linguistic labels would lead the number of rules grow up exponentially. Since the larger size of rule base would cause the longer string length and higher computing load, it becomes one of the difficulties of realizing genetic algorithms to search the suitable rules or membership functions for fuzzy logic controllers. This paper will show that the number of rules in fuzzy sliding mode controller (FSMC) is a linear function of input variables, such that the inferring load of the inference engine in FSMC is more light than that of FLC, and the string length of unknown parameters in FSMC is shorter than that in FLC. Therefore, using genetic algorithms to search fuzzy rules or membership functions for FSMC becomes more economical and applicable. The simulation results verify the efficiency of proposed approach.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940011","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: 29
Object recognition system in a dynamic environment 动态环境下的目标识别系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409848
M. Kawade
{"title":"Object recognition system in a dynamic environment","authors":"M. Kawade","doi":"10.1109/FUZZY.1995.409848","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409848","url":null,"abstract":"There are many difficult and complicated problems in an object recognition used for a navigation system. For example, an object changes its appearance depending on the direction it is seen from, the overlapping with other object or direction of the light. Lacking of processing time is also among those problems. In this paper, we propose an object recognition system in a dynamic environment based on fuzzy logic and Dempster-Shafer's theory which can integrate various inferences.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124052897","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: 5
A logical foundation of graded modal operators defined by fuzzy measures 由模糊测度定义的梯度模态算子的逻辑基础
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409674
T. Murai, M. Miyakoshi, M. Shimbo
{"title":"A logical foundation of graded modal operators defined by fuzzy measures","authors":"T. Murai, M. Miyakoshi, M. Shimbo","doi":"10.1109/FUZZY.1995.409674","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409674","url":null,"abstract":"To give rigid semantics to graded modal operators, an extended fuzzy-measure-based model is defined as a family of minimal models for modal logic, each of which corresponds to an intermediate value of a fuzzy measure. Soundness and completeness results of several systems of modal logic are proved with respect to classes of newly introduced models based on intermediate values of fuzzy, possibility, necessity, and Dirac measures, respectively. It is emphasized that a fuzzy measure inherently contains a multimodal logical structure.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883902","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: 13
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