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
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
Phase plane analysis tools for a class of fuzzy control systems 相平面分析工具用于一类模糊控制系统
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258666
C. Harris, C. G. Moore
{"title":"Phase plane analysis tools for a class of fuzzy control systems","authors":"C. Harris, C. G. Moore","doi":"10.1109/FUZZY.1992.258666","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258666","url":null,"abstract":"It is shown how linguistic system analysis can be extended to include fuzzy set definitions and can be applied to systems that are dominated by second-order process dynamics. This produces a graphical analysis tool, similar to the algebraic phase plane approach, for considering overall system performance. Using this technique the response of a rule-based system can be investigated and the influence of individual rules on overall performance can be determined, allowing a stability analysis to be carried out directly on the rule-based system. Two simple application examples show how this technique could be used. In particular, a controller design example demonstrates how trial and error methods can be removed from the controller design process and how stability analysis can be performed directly on the rule-based system.<<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":"115953921","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: 26
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
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
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
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
Boundary detection through fuzzy clustering 通过模糊聚类进行边界检测
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258607
R. Davé
{"title":"Boundary detection through fuzzy clustering","authors":"R. Davé","doi":"10.1109/FUZZY.1992.258607","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258607","url":null,"abstract":"Boundary detection in digital images is viewed as a clustering problem. A survey of boundary detection techniques based on fuzzy clustering is presented. Algorithms to detect linear, planar, and curved boundary detection are surveyed. Limitations of these techniques are discussed, along with a review of approaches proposed to overcome these limitations.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"331 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":"134071429","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
Effective search methods for pattern matching inferencing using specific similarity measures 使用特定相似性度量进行模式匹配推理的有效搜索方法
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258612
T. Bilgiç, I. Turksen
{"title":"Effective search methods for pattern matching inferencing using specific similarity measures","authors":"T. Bilgiç, I. Turksen","doi":"10.1109/FUZZY.1992.258612","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258612","url":null,"abstract":"Pattern matching inferencing (PMI) is one of the ways of approximating the compositional rule of inference (CRI) as proposed by L. A. Zadeh (1973). PMI is a generic algorithm to create different approximate inferencing algorithms. In particular, approximate analogical reasoning, approximate deductive reasoning and approximate analogical and deductive reasoning are under the class of PMI. PMI as extended by C. Lucas and I. G. Turksen (1990) and the search methods currently used in PMI are considered. Several similarity measures are shown to have some desired properties to make the search process to fire rules in PMI more effective. Using these properties, two new search strategies are proposed instead of the commonly used exhaustive search.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"12 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":"134215136","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: 8
Formulation of CMAC-fuzzy system cmac -模糊系统的表述
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258723
J. Ozawa, I. Hayashi, N. Wakami
{"title":"Formulation of CMAC-fuzzy system","authors":"J. Ozawa, I. Hayashi, N. Wakami","doi":"10.1109/FUZZY.1992.258723","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258723","url":null,"abstract":"To get the input-output data for the identification of an optimum controller, it is necessary to ascertain the consistent intention underlying the possibly inconsistent actions of the human operator. To acquire the intention of the human operator, the authors propose a cerebellar model arithmetic computer (CMAC) fuzzy system to construct fuzzy inference rules that indicates the human intention. The algorithm to construct the fuzzy inference rules is described. The formulation of the CMAC fuzzy system is explained, and an application of the CMAC fuzzy system is shown by taking an example of a computer simulation of catching a moving object.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"12 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":"134549294","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: 22
A survey on generalized measures 广义测度综述
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258773
E. Klement, S. Weber
{"title":"A survey on generalized measures","authors":"E. Klement, S. Weber","doi":"10.1109/FUZZY.1992.258773","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258773","url":null,"abstract":"The authors present a unified approach to several concepts on generalized measures with various domains and ranges, which are: sigma -additive measures; probability measures of fuzzy events; fuzzy probability measures; fuzzy-valued fuzzy measures; ( sigma -) perpendicular to -decomposable measures; measures of fuzzy sets; and perpendicular to '-decomposable measures, where perpendicular to ' is the extension of an Archimedean t-conorm on (0,M) to D/sub M/ via the extension principle. All these measures are handled in a unified way. The main emphasis is on integral representations of such measures if they are defined on a collection of fuzzy sets.<<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":"133388273","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
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