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[1992 Proceedings] IEEE International Conference on Fuzzy Systems最新文献

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A fuzzy cerebellar model articulation controller 一种模糊小脑模型关节控制器
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258722
C. Jou
{"title":"A fuzzy cerebellar model articulation controller","authors":"C. Jou","doi":"10.1109/FUZZY.1992.258722","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258722","url":null,"abstract":"An adaptive fuzzy controller based on the cerebellar model articulation controller is presented. The controller is basically a table lookup module in which fuzzy sets are stored and manipulated by using fuzzy set theory. Analogous to neural networks, this controller adaptively estimates continuous functions from sampled data without specifying mathematically how outputs depend on inputs. As a result, it is easy to modify in order to accommodate changes in the system. Learning is based on observations of the input-output relationship of the system, and there is no need to identify fuzzy logical rules from the human operator. The goal is to demonstrate the use of a neural-network scheme as applied to building the adaptive fuzzy system.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418055","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: 35
A fuzzy inference coprocessor using a flexible active-rule-driven architecture 采用灵活主动规则驱动架构的模糊推理协处理器
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258684
H. Ikeda, N. Kisu, Y. Hiramoto, S. Nakamura
{"title":"A fuzzy inference coprocessor using a flexible active-rule-driven architecture","authors":"H. Ikeda, N. Kisu, Y. Hiramoto, S. Nakamura","doi":"10.1109/FUZZY.1992.258684","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258684","url":null,"abstract":"A type of fuzzy inference coprocessor in which active rules can be detected from a set of arbitrary fuzzy rules was designed. In this architecture, referred to as the flexible active-rule-driven architecture, active rules are detected for various fuzzy rules and for various membership functions. The fuzzy inference scheme and the concept of active rules are reviewed. It is shown that active rules can be defined for different fuzzy inference methods. The main features of the flexible active-rule-drive architecture are described. The basic function of the coprocessor was confirmed using a logic simulator. Other features of the coprocessor, such as arithmetic-unit calculation of membership grades, are also discussed. The circuit simulations of the coprocessor and its implementation are outlined.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803364","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: 44
Generating ambiguous attributes for fuzzy queries 为模糊查询生成模糊属性
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258751
T. Nomura, T. Odaka, N. Ohki, T. Yokoyama, Y. Matsushita
{"title":"Generating ambiguous attributes for fuzzy queries","authors":"T. Nomura, T. Odaka, N. Ohki, T. Yokoyama, Y. Matsushita","doi":"10.1109/FUZZY.1992.258751","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258751","url":null,"abstract":"A fuzzy querying model is proposed which can be realized in a front-end system connected to a host computer equipped with a conventional database management system. It is assumed in this model that queries have ambiguity, but the prepared data in a database have no ambiguity.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126481670","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
Restrictions of P-fuzzy switching functions p -模糊交换函数的限制
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258613
H. Kikuchi, T. Morishita, M. Mukaidono
{"title":"Restrictions of P-fuzzy switching functions","authors":"H. Kikuchi, T. Morishita, M. Mukaidono","doi":"10.1109/FUZZY.1992.258613","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258613","url":null,"abstract":"A P-fuzzy switching function is a meaningful class of fuzzy switching functions that is representable by a logic formula consisting of prime implicants. A restriction of a P-fuzzy switching function is a mapping of the restricted domain within a finite subset of","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"206 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120873203","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
Managing local fuzzy logics in MILORD-II MILORD-II中的局部模糊逻辑管理
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258760
J. Agustí-Cullell, F. Esteva, P. Garcia, L. Godo, R. Lopez de Mantaras, C. Sierra
{"title":"Managing local fuzzy logics in MILORD-II","authors":"J. Agustí-Cullell, F. Esteva, P. Garcia, L. Godo, R. Lopez de Mantaras, C. Sierra","doi":"10.1109/FUZZY.1992.258760","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258760","url":null,"abstract":"MILORD is a working expert system shell oriented to classification tasks. The authors describe a modular extension of the MILORD system. This modular extension, called MILORD-II, addresses two main characteristics of human problem solving: the application of general knowledge to particular problems, and the dependence of the kind of management of uncertainty on the particular subtasks. The focus is on the two important roles uncertainty plays in this modular system: (i) as part of local deductive mechanisms, and (ii) as a control feature in the process of selecting and combining knowledge base units or modules.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122618848","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
Servo controller design for an optical disk drive using fuzzy control algorithm 基于模糊控制算法的光驱伺服控制器设计
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258790
J. Yen, C.-S. Lin, C.-H. Li, Y.-Y. Chemn
{"title":"Servo controller design for an optical disk drive using fuzzy control algorithm","authors":"J. Yen, C.-S. Lin, C.-H. Li, Y.-Y. Chemn","doi":"10.1109/FUZZY.1992.258790","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258790","url":null,"abstract":"The fuzzy control of an optical disk drive compound actuator is presented. Many problems associated with the compound actuator control are addressed. The coarse actuator generally has a very different resolution from that of the fine, and the fine actuator is limited by its stroke. The fuzzy control logic provides an easy way for implementing these specifications. Results for fuzzy controller applications with different configurations are compared. A hybrid control algorithm is then proposed. It was shown that the common approach of using two stage control for track accessing and track following can be combined by using the fuzzy control algorithm.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123321613","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
Discriminated answers and databases: fuzzy sets as a unifying expression means 判别答案与数据库:模糊集作为统一的表达手段
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258750
P. Bosc, O. Pivert
{"title":"Discriminated answers and databases: fuzzy sets as a unifying expression means","authors":"P. Bosc, O. Pivert","doi":"10.1109/FUZZY.1992.258750","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258750","url":null,"abstract":"The authors consider database management systems which have the capability of returning qualitative answers. Mainly two families of approaches have been investigated by researchers, the extension of Boolean queries and the definition of fuzzy queries. An overview of the solutions belonging to the first kind is given and it is shown that they are just special cases of queries supported by a fuzzy set based approach.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132548314","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: 27
A fuzzy knowledge-based system for bus load forecasting 基于模糊知识的客车负荷预测系统
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258650
G. Lambert-Torres, L. E. Borges da Silva, B. Valiquette, H. Greiss, D. Mukhedkar
{"title":"A fuzzy knowledge-based system for bus load forecasting","authors":"G. Lambert-Torres, L. E. Borges da Silva, B. Valiquette, H. Greiss, D. Mukhedkar","doi":"10.1109/FUZZY.1992.258650","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258650","url":null,"abstract":"The authors describe an alternative approach to short-term load forecasting. The approach merges traditional mathematical techniques and fuzzy concepts in a knowledge base. The rules of this knowledge base are devised using the historical data of the bus and are represented by fuzzy conditional statements. An example using real data from an actual power system is presented.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497931","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: 27
Fuzzy modeling by ID3 algorithm and its application to prediction of heater outlet temperature ID3算法模糊建模及其在加热器出口温度预测中的应用
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258780
T. Tani, M. Sakoda, Kazuo Tanaka
{"title":"Fuzzy modeling by ID3 algorithm and its application to prediction of heater outlet temperature","authors":"T. Tani, M. Sakoda, Kazuo Tanaka","doi":"10.1109/FUZZY.1992.258780","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258780","url":null,"abstract":"The authors propose a practical method for fuzzy modeling. The ID3 algorithm, used in the field of machine learning, was applied to select the effective variables in the premises of a fuzzy model and compute their boundary values. Even when the process had many variables, effective variables were chosen and their boundary values for fuzzification were computed automatically. This method was applied to a system to predict heater outlet temperature. Good results were obtained, and the system was operated with the required accuracy without adding new rules or without modifying rules.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066492","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: 31
Fuzzy geometry: An overview 模糊几何:概述
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258605
A. Rosenfeld
{"title":"Fuzzy geometry: An overview","authors":"A. Rosenfeld","doi":"10.1109/FUZZY.1992.258605","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258605","url":null,"abstract":"The author briefly reviews work on the fuzzy topology and geometry of image subsets, including adjacency, separation, and connectedness; distance and relative position; area, perimeter, and diameter; convexity and starshapedness; and medial axes and thinning.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128373749","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: 40
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