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

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Use of the Fuzzy Self-Organizing Map in pattern recognition 模糊自组织映射在模式识别中的应用
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343837
P. Vuorimaa
{"title":"Use of the Fuzzy Self-Organizing Map in pattern recognition","authors":"P. Vuorimaa","doi":"10.1109/FUZZY.1994.343837","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343837","url":null,"abstract":"Kohonen's self-organizing map is one of the best-known neural network models. In previous work, we developed a fuzzy version of the model called: Fuzzy Self-Organizing Map (T. Kohonen, 1988). The new version is similar to the fuzzy logic controllers, and thus it is easy to use and computationally efficient. On the other hand, since the Fuzzy Self-Organizing Map is derived from the original model, the Kohonen learning laws can be used to tune the system. We show how the Fuzzy Self-Organizing Map can be used in pattern recognition. For this purpose, we introduce a new multiple input, multiple output version of the Fuzzy Self-Organizing Map.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"172 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":"116019834","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: 18
Generation of membership functions via possibilistic clustering 通过可能性聚类生成隶属函数
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343851
R. Krishnapuram
{"title":"Generation of membership functions via possibilistic clustering","authors":"R. Krishnapuram","doi":"10.1109/FUZZY.1994.343851","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343851","url":null,"abstract":"Possibilistic clustering has been introduced recently to overcome some of the limitations imposed by the constraint used in the fuzzy c-means algorithm. It was shown that possibilistic memberships correspond more closely to the notion of \"typicality\". In this paper, we explore certain interesting properties of possibilistic clustering, In particular, we show that possibilistic clustering can be successfully used to solve two important problems that arise while using fuzzy set theory: i) determination of membership functions, and ii) determination of the number of clusters.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"71 3 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":"116379360","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: 86
Model reference I-PD controller using fuzzy reasoning 模型参考I-PD控制器采用模糊推理
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343728
T. Okayasu, T. Matsuoka, Y. Ishida
{"title":"Model reference I-PD controller using fuzzy reasoning","authors":"T. Okayasu, T. Matsuoka, Y. Ishida","doi":"10.1109/FUZZY.1994.343728","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343728","url":null,"abstract":"We propose an automatic tuning method for I-PD (or PID) parameters using expert system with a rule base. The I-PD controllers based on optimal control are widely used because they have good disturbance rejection and low sensitivity. However, the effective method of auto-tuning I-PD controllers has not been presented yet. In this paper, we attempt to use fuzzy reasoning as a controller. Simulation results show that the proposed method is effective for actual plant control.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"3 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":"123034605","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
A fuzzy logic approach to intelligent alarms in cardioanesthesia 心脏麻醉智能报警的模糊逻辑方法
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343546
K. Becker, H. Käsmacher, Günther Rau, G. Kalff, Hans-Jürgen Zimmermann
{"title":"A fuzzy logic approach to intelligent alarms in cardioanesthesia","authors":"K. Becker, H. Käsmacher, Günther Rau, G. Kalff, Hans-Jürgen Zimmermann","doi":"10.1109/FUZZY.1994.343546","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343546","url":null,"abstract":"One of the most important tasks of the anaesthetist performing anaesthesia to a patient undergoing cardiac surgery is the evaluation of the patient's hemodynamic state. During cardiac operation when the heart comes to work again after hours of cardioplegia the vital parameters (blood pressure, heart rate, etc.) can reach extreme values and fluctuations. Current alarm facilities are triggered yielding an alarm cascade and often turned off because the permanent noise level in the operating theatre disturbs the surgical team. An intelligent alarm system to support the anaesthetist in this situation has been developed. The system works online, gathering all required data from a general anaesthesia information system. Based on the decision making process of the anaesthetist, the most important vital parameter constellations are evaluated using a fuzzy inference approach, and are presented graphically on the user interface.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"4 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":"114191071","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
Interval valued fuzzy sets from continuous Archimedean triangular norms 连续阿基米德三角范数的区间值模糊集
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343895
T. Bilgiç, I. Turksen
{"title":"Interval valued fuzzy sets from continuous Archimedean triangular norms","authors":"T. Bilgiç, I. Turksen","doi":"10.1109/FUZZY.1994.343895","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343895","url":null,"abstract":"Interval valued fuzzy sets are suggested in Turksen (1986) to model the situations where linguistic connectives as well as the variables are fuzzy. They are defined using the discrepancy of conjunctive and disjunctive Boolean normal forms in the fuzzy case. The discrepancy is due to relaxing some of the axioms of classical logic. The authors briefly investigate the basic operations in the unit interval. Specifically the literature on representing the negation functions and triangular norms is recalled. Archimedean triangular norms are investigated as possible candidates for the logical connective AND. De Morgan triples are constructed utilizing a general result for negations. Two broad families of De Morgan triples are identified; strict and strong, which are neither distributive nor idempotent. The authors introduce the concept of an interval valued fuzzy set and present the main results of the paper, namely for strict and strong De Morgan triples interval valued fuzzy sets are well defined. The paper is technical in nature and extends some results obtained in Turksen (1986) to more general settings using generator functions.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"50 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":"128659256","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
Optimization of a fuzzy controller using neural network 模糊控制器的神经网络优化
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343682
Wei Li
{"title":"Optimization of a fuzzy controller using neural network","authors":"Wei Li","doi":"10.1109/FUZZY.1994.343682","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343682","url":null,"abstract":"This paper presents a strategy for optimization of a fuzzy logic controller based on a control scheme, which consists of a fuzzy logic controller and a conventional derivative controller. For this purpose, we first choose a set of membership functions regarding change-in-error e/spl dot/, which represent the feedback of velocity. Then we optimize them using neural network in self-organizing process. To demonstrate the effectiveness of the proposed method, we report a number of simulation results involving both step and tracking control of a nonlinear plant.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"38 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":"129255272","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: 23
Basic structure of three-layered fuzzy inference in FLINS-fuzzy lingual system flins -模糊语言系统三层模糊推理的基本结构
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343663
S. Tano, W. Okamoto, T. Iwatani, A. Inoue
{"title":"Basic structure of three-layered fuzzy inference in FLINS-fuzzy lingual system","authors":"S. Tano, W. Okamoto, T. Iwatani, A. Inoue","doi":"10.1109/FUZZY.1994.343663","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343663","url":null,"abstract":"The Laboratory for International Fuzzy Engineering Research (LIFE) in Japan is developing a natural language communication system called FLINS, which is short for fuzzy lingual system. The final goal of the project is to implement a lingual computer that can communicate and learn, both by being taught and on it own, through use of a fuzzy natural language. In this paper, the goal of FLINS is briefly presented. Next, the problems and limitations of conventional systems are summarized, and new design concepts, text-based architecture and fuzzy-centered architecture, to overcome those problems and limitations are proposed. Finally, the structure of the three-layered fuzzy inference mechanism, which is one of the most important features of FLINS, is described.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"335 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":"124708791","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
Selecting an aggregation operator for fuzzy decision making 选取聚合算子进行模糊决策
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343610
U. Kaymak, H. van Nauta Lemke
{"title":"Selecting an aggregation operator for fuzzy decision making","authors":"U. Kaymak, H. van Nauta Lemke","doi":"10.1109/FUZZY.1994.343610","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343610","url":null,"abstract":"In decision making one is interested in the preference ordering of the alternatives, rather than the exact numerical values that are assigned to the alternatives. This means that an aggregation operator that is able to combine criteria in a similar way to human beings need not reproduce the same numerical values as long as it produces a similar preference ordering as that of the humans. In this paper, previously published empirical data are analyzed from the point of view of preference orderings. A number of aggregation operators are used to approximate the preference ordering done by human beings. None of the operators give very good results. Moreover, there is not a significant difference in the performance of the t-norms or the compensatory operators. The operators can achieve, however, a partially correct ordering of the alternatives.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"43 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":"129537459","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
Fuzzy logic control of a floating level in a refinery tank 炼油厂储罐浮液面的模糊逻辑控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343923
S. Galichet, L. Foulloy, M. Chèbre, J.P. Beauchene
{"title":"Fuzzy logic control of a floating level in a refinery tank","authors":"S. Galichet, L. Foulloy, M. Chèbre, J.P. Beauchene","doi":"10.1109/FUZZY.1994.343923","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343923","url":null,"abstract":"This paper presents the development of a fuzzy logic controller that maintains a floating level in a tank on top of the atmospheric distillation unit of a refinery plant. This particular level regulation does not need any fixed setpoint as it is only required for the level to be kept between a minimal and a maximal bounds. The important constraint to take into account is to minimize the action range in order to stabilize the feed flow at the output of the tank. Besides, the system has to anticipate properly the different disturbances that can occur in the distillation unit. The development of the fuzzy logic controller is described. The membership functions and the rulebase are first initialized in order to obtain a fuzzy logic system that is equivalent to the algorithmic controller. Some particular rules are then modified according to the expert knowledge and the particular specifications required. Finally, an adaptation of the rulebase is done to take into account an evolving context in order to reject smoothly important disturbances by anticipation.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"41 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":"123485360","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
Decision fusion by fuzzy set operations 基于模糊集运算的决策融合
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343561
A. Loskiewicz-Buczak, R. Uhrig
{"title":"Decision fusion by fuzzy set operations","authors":"A. Loskiewicz-Buczak, R. Uhrig","doi":"10.1109/FUZZY.1994.343561","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343561","url":null,"abstract":"This paper documents the work on a method for information fusion for the purpose of classification. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors available. The decision module is a fuzzy system, performing the generalized mean operation. The final decision is obtained from the aggregated decision by means of /spl alpha/-cuts. The fusion method developed is applied to the problem of vibration analysis and the fusion results are described. The decisions to be fused are obtained using neural networks.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"9 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":"121153431","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: 24
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