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

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KF dynamic fuzzy crane system KF动态模糊起重机系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410042
O. Itoh, H. Migita, J. Itoh, Y. Irie
{"title":"KF dynamic fuzzy crane system","authors":"O. Itoh, H. Migita, J. Itoh, Y. Irie","doi":"10.1109/FUZZY.1995.410042","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410042","url":null,"abstract":"Residual swing will often be generated in the overhead traveling crane drive by factors such as the delay and the friction of the machine even if it is controlled along the pattern. Therefore we have developed \"KF dynamic fuzzy crane system\" for automatic operation and put it to practical use. This system has many features as follows: cooperative control of positioning and the swing prevention by fuzzy inference; automatic crane control and fuzzy control with one programmable controller; stable operation by swing prevention at high velocities; maintenance free crane motor by using vector controlled general purpose inverter; easy automatization even on an existing crane.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"151 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":"123103540","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
Hierarchical decomposition theorems for Choquet integral models Choquet积分模型的层次分解定理
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409992
M. Sugeno, K. Fujimoto, T. Murofushi
{"title":"Hierarchical decomposition theorems for Choquet integral models","authors":"M. Sugeno, K. Fujimoto, T. Murofushi","doi":"10.1109/FUZZY.1995.409992","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409992","url":null,"abstract":"In this paper, we give two necessary and sufficient conditions for a Choquet integral model to be decomposable into two equivalent hierarchical Choquet integral models constructed by hierarchical combinations of some ordinary Choquet integral models. These conditions are obtained by inclusion-exclusion covering (IEC). Moreover, we show some properties on the set of IECs.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"91 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":"124427883","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: 12
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
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
Fuzzy inference based on a weighted average of fuzzy sets and its learning algorithm for fuzzy exemplars 基于模糊集加权平均的模糊推理及其模糊样本的学习算法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409993
K. Uehara
{"title":"Fuzzy inference based on a weighted average of fuzzy sets and its learning algorithm for fuzzy exemplars","authors":"K. Uehara","doi":"10.1109/FUZZY.1995.409993","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409993","url":null,"abstract":"This paper proposes a fuzzy inference method based on a weighted average of fuzzy sets. This method has the property of always obtaining the inference consequence in the form of convex fuzzy sets as long as the then-parts of conditional propositions are defined with normal and convex fuzzy sets. This property is quite useful in introducing learning functions to a fuzzy inference scheme, in particular, when fuzzy-input/fuzzy-output pairs are given by convex fuzzy sets as its exemplar patterns. Moreover, the proposed method can clarify the maximum value of the fuzziness in the inference consequences in advance of its inference operations. In multistage-parallel fuzzy-inference form, it can solve the problem of increasing the fuzziness of the inference consequences in every stage, which possibly results in fuzziness explosion. Reflecting the properties mentioned above, a learning algorithm is derived for multistage-parallel fuzzy-inference with fuzzy exemplar patterns given by convex fuzzy sets.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"15 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":"133680534","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: 14
Reinforcement learning for ART-based fuzzy adaptive learning control networks 基于art的模糊自适应学习控制网络的强化学习
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409850
Cheng‐Jian Lin, Chin-Teng Lin
{"title":"Reinforcement learning for ART-based fuzzy adaptive learning control networks","authors":"Cheng‐Jian Lin, Chin-Teng Lin","doi":"10.1109/FUZZY.1995.409850","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409850","url":null,"abstract":"This paper proposes a reinforcement fuzzy adaptive learning control network (RFALCON) for solving various reinforcement learning problems. The proposed RFALCON is constructed by integrating two fuzzy adaptive learning control networks (FALCON), each of which is a connectionist model with a feedforward multilayered network developed for the realization of a fuzzy logic controller. An online structure/parameter learning algorithm, called RFALCON-ART, is proposed for constructing the RFALCON dynamically. The proposed RFALCON also preserves the advantages of the original FALCON, such as the ability to do online partition the input/output spaces, tune membership functions, and find proper fuzzy logic rules. In its initial form, there is no membership function, fuzzy partition, and fuzzy logic rule. They are created and begin to grow as the first reinforcement signal arrives. The users thus need not give it any a priori knowledge or even any initial information on these.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"80 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":"132830103","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: 15
A genetics-based approach to fuzzy clustering 基于遗传学的模糊聚类方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409990
Jianzhuang Liu, Weixing Xie
{"title":"A genetics-based approach to fuzzy clustering","authors":"Jianzhuang Liu, Weixing Xie","doi":"10.1109/FUZZY.1995.409990","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409990","url":null,"abstract":"The traditional fuzzy objective-function-based clustering algorithms, the fuzzy c-means (FCM) algorithm and the FCM-type algorithms, are in essence local search techniques that search for the optimum by using a hill-climbing technique. Thus, they often fail in the search for global optimum. In this paper, we combine the genetic algorithms with traditional clustering algorithms to obtain a better clustering performance. Our experimental results show that the proposed genetic-based clustering algorithms have much higher probabilities of finding the global or near-global optimal solutions than the traditional algorithms.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"23 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":"133580818","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: 32
Fuzzy linear programming with grade of satisfaction in each constraint 模糊线性规划在每个约束条件下的满足等级
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409771
S. Nakamura, K. Kosaka, M. Kawaguchi, H. Nonaka, T. Da-te
{"title":"Fuzzy linear programming with grade of satisfaction in each constraint","authors":"S. Nakamura, K. Kosaka, M. Kawaguchi, H. Nonaka, T. Da-te","doi":"10.1109/FUZZY.1995.409771","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409771","url":null,"abstract":"The authors introduce and modify a method for fuzzy linear programming (FLP) in which each constraint has a different grade of satisfaction. The FLP problem dealt with in the paper has fuzzy coefficients in its constraints. The fuzzy constraints can be expressed by four feasibility indices introduced by Dubois (1987) derived from four ranking indices of fuzzy numbers. A decision maker (DM) can assign the grades to the constraints by giving /spl alpha/ different values. The authors propose a modified method in which the grade is given as a fuzzy set on the unit closed interval [0, 1] reflecting human imprecision. In the authors' method, several optimal solutions are calculated, for a DM to choose from.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"35 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":"121635671","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
Absolute continuity of fuzzy measures 模糊测度的绝对连续性
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409671
Zhenyuan Wang, G. Klir, Wei Wang
{"title":"Absolute continuity of fuzzy measures","authors":"Zhenyuan Wang, G. Klir, Wei Wang","doi":"10.1109/FUZZY.1995.409671","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409671","url":null,"abstract":"The purpose of this paper is to investigate the issue systematically. We identify 9 generalized types of absolute continuity which possess desirable properties, such as reflexivity and transitivity. We also study the relationship between these distinct types of absolute continuity and determine which of them are possessed by the fuzzy measure (or the lower semicontinuous fuzzy measure) defined by the fuzzy integral.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"70 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":"117001154","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 modelling in an intelligent data browser 智能数据浏览器中的模糊建模
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409937
J. F. Baldwin, T. P. Martin
{"title":"Fuzzy modelling in an intelligent data browser","authors":"J. F. Baldwin, T. P. Martin","doi":"10.1109/FUZZY.1995.409937","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409937","url":null,"abstract":"The Fril fuzzy data browser is a software tool which can automatically derive rules from large bodies of data. The data need not be completely known, and the derived rules can be used to fill in missing values, highlight anomalous values, or predict values in new cases. Human expertise can be input at any stage, and hierarchical systems of rules can be generated. Rules use the fuzzy or evidential logic uncertainty calculus built-in to Fril. It is also possible to generate C-code, although rules are easier to understand, and more efficiently executed in Fril. An enhanced version of the fuzzy data browser is linked to Mathematica, giving access to sophisticated graphical and mathematical facilities. We focus on some simple examples to illustrate the use of the enhanced fuzzy data browser in developing rules which model data.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"95 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":"115225960","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: 12
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