发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Fuzzy neuro-computational technique and its application to modelling and control 模糊神经计算技术及其在建模和控制中的应用
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258594
M. Gupta, M. Gorzałczany
{"title":"Fuzzy neuro-computational technique and its application to modelling and control","authors":"M. Gupta, M. Gorzałczany","doi":"10.1109/FUZZY.1992.258594","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258594","url":null,"abstract":"The authors present a model building technique which combines the strength of fuzzy set theory and neural network based structures. This technique can simultaneously deal with two types of knowledge, nonfuzzy knowledge and fuzzy, which usually describe the behavior of complex processes. The proposed method can also be directly applied to the construction of a new type of intelligent fuzzy controller. Some considerations relating to the adequacy of this fuzzy neuro-computational model are also discussed.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"24 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":"132680310","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
Adaptive fuzzy control via modification of linguistic variables 基于语言变量修改的自适应模糊控制
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258647
J. Fei, C. Isik
{"title":"Adaptive fuzzy control via modification of linguistic variables","authors":"J. Fei, C. Isik","doi":"10.1109/FUZZY.1992.258647","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258647","url":null,"abstract":"A fuzzy knowledge-based control system developed for mobile robot motion control is introduced. The method for deriving a fuzzy knowledge-base is established, based on a commercially available mobile robot. The adaptation method for fuzzy knowledge-based systems reacts to environmental variations and modifies the definitions of linguistic state variables instead of modifying the knowledge-base itself. Some simulation results are presented to demonstrate that the proposed adaptive scheme makes significant improvements in system performance even when there are severe environmental variations.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"48 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":"134038677","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
Logical approaches to uncertainty and vagueness in the view of the context model 从上下文模型的角度对不确定性和模糊性进行逻辑处理
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258697
F. Klawonn, J. Gebhard, R. Kruse
{"title":"Logical approaches to uncertainty and vagueness in the view of the context model","authors":"F. Klawonn, J. Gebhard, R. Kruse","doi":"10.1109/FUZZY.1992.258697","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258697","url":null,"abstract":"The context model provides a framework for clear semantics of concepts for handling uncertainty and vagueness. The authors analyze non-truth-functional logics with capabilities for the representation of uncertainty and vagueness in the view of the context model. It becomes apparent that among other approaches probabilistic and possibilistic logic can be considered as logics with additional restrictions in the general environment of the context model. Due to the semantic background of the context model it is possible to clarify and interpret the meaning of concepts like revision and expansion, and to describe the general assumptions used in various approaches.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"108 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":"134431592","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
Entailment and inference in fuzzy logic using fuzzy preorders 模糊逻辑的蕴涵与推理
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258728
L. Godo, L. Valverde
{"title":"Entailment and inference in fuzzy logic using fuzzy preorders","authors":"L. Godo, L. Valverde","doi":"10.1109/FUZZY.1992.258728","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258728","url":null,"abstract":"Within the framework of fuzzy logic, the notion of semantic entailment and its relationship with inference is analysed. In particular, the case of conditional statements modeled through fuzzy preorders is considered. The main results exhibit a strong relationship between the notions of entailment and implication, driven by the pointwise order of the unit interval In the case of R-implications, and by suitable modifications of this order, in the case of general fuzzy preorders.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"40 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":"115301482","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
Analysis of specificity of fuzzy sets 模糊集的专用性分析
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258704
A. Ramer, R. Yager
{"title":"Analysis of specificity of fuzzy sets","authors":"A. Ramer, R. Yager","doi":"10.1109/FUZZY.1992.258704","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258704","url":null,"abstract":"A comprehensive model for evaluating specificity of fuzzy sets is presented. It is designed in terms of possibility values, independent of the domain of discourse. For a discrete distribution two measures are defined. One is exponential, and the other is logarithmic. The exponential measure is derived from a few intuitively plausible properties of specificity, and the logarithmic measure is dual to nonspecificity in Dempster-Shafer theory. Specificity measures for arbitrary measurable sets are defined as domains of discourse. They can be discrete, finite, or infinite, or, as a measurable set X, have mu (X)< infinity or mu (X)= infinity . The framework for measurable domains is built directly, through an extensive use of a technique borrowed from inequalities of mathematical physics. It consists of rearranging a measurable function according to a prespecified pattern.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"57 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":"114828171","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
Fuzzy controller design without domain experts 不需要领域专家的模糊控制器设计
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258631
J.-S.R. Jang
{"title":"Fuzzy controller design without domain experts","authors":"J.-S.R. Jang","doi":"10.1109/FUZZY.1992.258631","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258631","url":null,"abstract":"The control of nonlinear systems through a self-learning mechanism that can derive the membership functions of the rules used by a fuzzy controller is considered. Without resorting to domain experts, a fuzzy controller has to be constructed that can perform the control task of a regulator problem. The approach is based on the adaptive network, a flexible building block that can be used to implement fuzzy controllers as well as the plants under consideration. The learning rule of adaptive networks can force the plant state to approach a desired state on a time step by time step basis. The proposed approach was used to build a fuzzy controller for balancing an inverted pendulum system. It is shown that only four fuzzy if-then rules are necessary to perform the control task. The controller was quite tolerant to dealing with initial conditions that deviated significantly from the origin. The inverted pendulum system was used to test the proposed control scheme. The simulation results demonstrated its feasibility and robustness.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"118 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":"123470033","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: 110
A dynamic learning team model as a fuzzy perceptron 基于模糊感知器的动态学习团队模型
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258638
H. Nojiri
{"title":"A dynamic learning team model as a fuzzy perceptron","authors":"H. Nojiri","doi":"10.1109/FUZZY.1992.258638","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258638","url":null,"abstract":"The author develops an understanding of the formal relationship between perceptrons and dynamic team models. The various concepts of perceptrons and fuzzy sets are introduced to a framework for dynamic team decisions. Then a dynamic learning team model is proposed which uses the learning rules to adjust the informal human relations expressed by the concepts of fuzzy relations. A proposed dynamic learning team model contains a fuzzy perceptron as a special case.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"34 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":"123610308","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
Identification of vaguely dependent parameters for a class of fuzzy stochastic systems 一类模糊随机系统模糊相关参数的辨识
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258712
T. Fukuda, Y. Sunahara
{"title":"Identification of vaguely dependent parameters for a class of fuzzy stochastic systems","authors":"T. Fukuda, Y. Sunahara","doi":"10.1109/FUZZY.1992.258712","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258712","url":null,"abstract":"A method for identifying vaguely dependent unknown parameters is presented, where the underlying system has properties of both fuzziness and randomness. The authors describe boundaries of level sets of unknown fuzzy parameters by the functions of levels with unknown but non-fuzzy coefficients. First. considering that the fuzziness exists only in unknown system parameters, the reasonable definition of fuzzy stochastic systems (FSSs) is stated. Second, the identification procedure for fuzzy unknown parameters is proposed by extending the moment method for non-fuzzy random data. when the system is described by the class of FSSs called fuzzy moving average models having vaguely dependent system parameters. By introducing fuzzy metrics, asymptotic of fuzzy estimators are investigated mathematically. Digital simulation studies are described.<<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":"121713620","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
Reliability of structures with active control 主动控制结构的可靠性
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258662
J.T.P. Yao, H. G. Natke
{"title":"Reliability of structures with active control","authors":"J.T.P. Yao, H. G. Natke","doi":"10.1109/FUZZY.1992.258662","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258662","url":null,"abstract":"The problem of structural reliability with active control is formulated using system identification approaches, fuzzy logic, and expert opinion. Following a statement of the problem, several structural reliability functions are reviewed and summarized. The applications of fuzzy logic are also described.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"5 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":"122798039","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
Neural fuzzy architecture for adaptive control 自适应控制的神经模糊结构
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258715
L. Pavel, M. Chelaru
{"title":"Neural fuzzy architecture for adaptive control","authors":"L. Pavel, M. Chelaru","doi":"10.1109/FUZZY.1992.258715","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258715","url":null,"abstract":"The authors address the tracking control of linear and nonlinear systems with unknown dynamics. A self-tuning neural fuzzy adaptive control architecture, based on M. Sugeno's model for fuzzy systems (1985) and on the use of feedforward neural networks is proposed. The control loop is described. Then, the adaptive neural version of the Sugeno model for fuzzy inference systems, inserted in this loop, is presented. The algorithm was simulated and tested for discrete-time linear and nonlinear systems.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"83 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":"122917449","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信