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

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Possibility theory as a basis for preference propagation in automated reasoning 可能性理论作为自动推理中偏好传播的基础
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258765
D. Dubois, H. Prade
{"title":"Possibility theory as a basis for preference propagation in automated reasoning","authors":"D. Dubois, H. Prade","doi":"10.1109/FUZZY.1992.258765","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258765","url":null,"abstract":"Possibility theory is proposed as a tool for encoding and propagating preference relations among possible interpretations or worlds, as well as certainty or priority degrees attached to logic sentences. The following points are particularly considered: (i) the representation of certainty- or possibility-qualified statements and its application to a typology of fuzzy rules; (ii) the principle of minimum specificity as the possibilistic counterpart of the maximal entropy principle; (iii) hypergraph methods for implementing the combination/projection paradigm of approximate reasoning; and (iv) the expression of the semantics of a set of certainty-weight logical formulas in possibilistic logic in terms of a possibility distribution on a set of interpretations. Simple examples of uncertain reasoning, analogical reasoning, interpolative reasoning, qualitative or temporal reasoning are provided in this framework.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"545 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":"116376397","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: 78
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 neural controller 模糊神经控制器
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258617
Y. Hayashi, E. Czogala, J. J. Buckley
{"title":"Fuzzy neural controller","authors":"Y. Hayashi, E. Czogala, J. J. Buckley","doi":"10.1109/FUZZY.1992.258617","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258617","url":null,"abstract":"The authors consider a fuzzy controller that processes fuzzy information. They discuss the model of the fuzzy controller, with fuzzy inputs for error and change in error, using a max-min neural network. A new learning algorithm, a modified delta rule, is derived. The generalization property of the neural net can be used to find a controller output for new fuzzy values of error and change in error. An example is presented showing the applicability of the fuzzy neural controller.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"2 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":"116112068","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: 52
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
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
Fuzzy set theoretic approach to computer vision: An overview 模糊集理论在计算机视觉中的应用综述
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258608
R. Krishnapuram, J. Keller
{"title":"Fuzzy set theoretic approach to computer vision: An overview","authors":"R. Krishnapuram, J. Keller","doi":"10.1109/FUZZY.1992.258608","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258608","url":null,"abstract":"The authors give an overview of the fuzzy set theoretic approach to computer vision. They discuss the applications of fuzzy set theory in computer vision in the areas of image modeling, preprocessing, segmentation, boundary detection, object/region recognition, and rule-based scene interpretation.<<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":"128784465","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: 72
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
Fuzzy prediction of time series 时间序列的模糊预测
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258630
P. Khedkar, S. Keshav
{"title":"Fuzzy prediction of time series","authors":"P. Khedkar, S. Keshav","doi":"10.1109/FUZZY.1992.258630","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258630","url":null,"abstract":"An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple fuzzy logic controller is presented. The design of the controller is described. The scheme was evaluated by simulation on test workloads and by application to the real-world problem of flow control in communication networks. The sensitivity of the system to its descriptive parameters is outlined.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"10 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":"126369058","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
The design and implementation of a massively-parallel fuzzy architecture 一种大规模并行模糊架构的设计与实现
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258700
N. Howard, R. Taylor, Nigel M. Allinson
{"title":"The design and implementation of a massively-parallel fuzzy architecture","authors":"N. Howard, R. Taylor, Nigel M. Allinson","doi":"10.1109/FUZZY.1992.258700","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258700","url":null,"abstract":"The York fuzzy automata machine (FAMe) is a massively parallel fuzzy cellular automata machine, capable of a wide range of computation. Rather than a fixed architecture, FAMe makes use of reconfigurable logic for implementing the most appropriate hardware for a given program. The authors describe the structure of the fuzzy automata machine and show how large complex fuzzy parallel systems may be constructed. A simple example of the use of FAMe involving fuzzy logic is given.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"4659 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":"125816306","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: 16
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
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