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Proceedings of 1995 IEEE International Conference on Fuzzy Systems.最新文献

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Robots moving in formation by using neural network and radial basis functions 利用神经网络和径向基函数实现机器人的编队运动
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410050
K. Hirota, T. Kuwabara, K. Ishida, A. Miyanohara, H. Ohdachi, T. Ohsawa, W. Takeuchi, N. Yubazaki, M. Ohtani
{"title":"Robots moving in formation by using neural network and radial basis functions","authors":"K. Hirota, T. Kuwabara, K. Ishida, A. Miyanohara, H. Ohdachi, T. Ohsawa, W. Takeuchi, N. Yubazaki, M. Ohtani","doi":"10.1109/FUZZY.1995.410050","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410050","url":null,"abstract":"Vision-based moving in formation by four mobile robots is presented. One robot who is a leader and goes first provides moving plans to the other robots who follow the leading robot. These robots move not only in a single line, but also triangular or diamond formation. Each robot detects the other robots by means of color image classification using a three-layer neural network. In motion control, a radial basis function (RBF) network approximated by learning is used. In addition, hardware implementations and the results of a demonstration of how multiple mobile robots move in several formations are described.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116185766","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
Applications of fuzzy average to curve and surface fitting 模糊平均在曲线曲面拟合中的应用
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409799
Lun Gao, H. Kawarada
{"title":"Applications of fuzzy average to curve and surface fitting","authors":"Lun Gao, H. Kawarada","doi":"10.1109/FUZZY.1995.409799","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409799","url":null,"abstract":"In this paper, a new concept of the fuzzy average is proposed, and a method (fuzzy optimization method, FOM) to fit curves and surfaces by means of the fuzzy average is investigated. The relation between the fuzzy average and the corresponding arithmetic mean is shown. Moreover, it is shown that the FOM is also suited for parallel processing, because the modification of elements of an approximate vector is calculated separately. Finally, some numerical experiments by using the FOM and other methods are presented, respectively.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117012228","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
Fuzzy random variables revisited 重新审视模糊随机变量
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409802
D. Ralescu
{"title":"Fuzzy random variables revisited","authors":"D. Ralescu","doi":"10.1109/FUZZY.1995.409802","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409802","url":null,"abstract":"Reviews the concept of a fuzzy random variable, its expected value, and limit theorems for sequences of fuzzy random variables. The author points out shortcomings in some concepts and results that have been defined in the literature. Finally, the author studies two inequalities involving the expected value of a fuzzy random variable: the Brunn-Minkowski inequality and the Jensen inequality. The author explores different extensions of the former, and gives an analog for the latter. Potential applications of the authors' results are to the analysis of fuzzy random variables and to statistics with inexact data.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117110983","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
Algorithms for fuzzy inference and tuning in the fuzzy inference software FINEST 模糊推理算法及其在模糊推理软件FINEST中的调优
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409811
T. Arnould, S. Tano, T. Miyoshi, Y. Kato, T. Oyama, A. Bastian, M. Umano
{"title":"Algorithms for fuzzy inference and tuning in the fuzzy inference software FINEST","authors":"T. Arnould, S. Tano, T. Miyoshi, Y. Kato, T. Oyama, A. Bastian, M. Umano","doi":"10.1109/FUZZY.1995.409811","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409811","url":null,"abstract":"In this paper, we explain the algorithms used in FINEST, the Fuzzy Inference Environment Software with Tuning developed at LIFE (Laboratory for International Fuzzy Engineering Research). The research themes and associated algorithms were defined to palliate the insufficiencies of usual inference methods and come naturally from the formulation of fuzzy \"if... then...\" rules. In particular, enhanced versions of combination operators, implication functions and aggregation operators are proposed, as well as a mechanism to tune the parameters used in the definition of the knowledge used in the system. Finally, one definition and formulation of backward reasoning with fuzzy \"if... then...\" rules is proposed.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770005","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
Model-based fuzzy control of a trailer type mobile robot 拖挂式移动机器人基于模型的模糊控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409661
K. Tanaka
{"title":"Model-based fuzzy control of a trailer type mobile robot","authors":"K. Tanaka","doi":"10.1109/FUZZY.1995.409661","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409661","url":null,"abstract":"Tanaka and Sano (1993,1994) designed a control system for backing up a computer simulated trailer type mobile robot, which is non-linear and unstable, by applying a robust stabilization technique for fuzzy systems. Furthermore, it was shown that the designed fuzzy controller smoothly achieves backing up control of the computer simulated trailer type mobile robot from all initial positions. In this paper, the author controls a real trailer type mobile robot by applying the design method proposed in the above papers. The experimental results show that the designed fuzzy controller effectively realizes backing up control of the real trailer type mobile robot.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123610567","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
Transitive fuzzy logic inference for the nearest pattern search 最近模式搜索的传递模糊逻辑推理
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410003
K. Takahashi, K. Thornber
{"title":"Transitive fuzzy logic inference for the nearest pattern search","authors":"K. Takahashi, K. Thornber","doi":"10.1109/FUZZY.1995.410003","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410003","url":null,"abstract":"The fidelity based transitive fuzzy-logic inference is utilized to accelerate the nearest neighbour pattern search in the hierarchically categorized filed patterns. The extraction method of inference rules and the transitive inference method of categories are discussed. Inference hardware configuration is shown and performance is estimated. The effect of an intuitive leap on flexible selecting and filtering of categories by the transitive fuzzy-logic inference are cleared.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124162522","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: 1
Information fusion for supervised classification in a satellite image 面向卫星图像监督分类的信息融合
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409823
L. Roux, J. Desachy
{"title":"Information fusion for supervised classification in a satellite image","authors":"L. Roux, J. Desachy","doi":"10.1109/FUZZY.1995.409823","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409823","url":null,"abstract":"In this paper, we present a multisource information-fusion method for satellite image classification. The main characteristics of this method are the use of possibility theory to handle the uncertainty connected with pixel classification, and the ability to mix numeric sources (the satellite image spectral bands) and symbolic sources (expert knowledge about best localisation of classes and out-image data for example). Moreover, this information fusion method is low time consuming and with a linear complexity. First we introduce briefly the possibility theory and the conjunctive fusion method used here. Then we apply this fusion method to a satellite image classification problem. The classes are defined by their spectral response on the one hand, and by the description of their best geographical context on the other hand. We compute the possibility distribution for the numeric sources on the one hand, and for the symbolic sources on the other hand. Finally the fusion handles the possibility measures coming from the numeric sources and from the symbolic sources.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125507198","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
On the non-monotonicity of fuzzy relations 关于模糊关系的非单调性
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409842
S. Cubillo, E. Trillas
{"title":"On the non-monotonicity of fuzzy relations","authors":"S. Cubillo, E. Trillas","doi":"10.1109/FUZZY.1995.409842","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409842","url":null,"abstract":"In any monotonic logic the increase of premises does not lead to erase any conclusion. Nevertheless, this is not the case of common reasoning, in which often one has not all the necessary elements of judgement for obtaining totally valid conclusions. Frequently, one makes inferences with the available information, obtaining plausible results until new data force one to cancel them. This way, while in classic inference the basic concept is \"truth\", in the inference of common sense it should be \"admissibility until new command\". The giving up of the monotonicity leads to consider weaker properties getting some different kinds of nonmonotonic logics, according to the desirable properties at each framework. This paper presents a definition of weak monotonicity, and some characterizations through logical states are obtained. The authors' previous characterization of T-preorders is reached in a more general way. In particular, both the finite and the classical cases are studied. The last section is devoted to restricted monotonicity.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121388584","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
Possibility multivariate analysis 可能性多变量分析
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409965
Hideo Tanaka
{"title":"Possibility multivariate analysis","authors":"Hideo Tanaka","doi":"10.1109/FUZZY.1995.409965","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409965","url":null,"abstract":"This paper deals with possibility multivariate analysis based on possibility distributions such as possibility regression analysis, possibility discriminant analysis and possibility portfolio selection. Possibility distributions depend on importance grades of data given by an expert whereas probability distributions depend on the frequency of occurrences. Thus, possibility is more predictive in nature than the concept of probability.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121628894","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
Fuzzy tracking control for disk file servo 磁盘文件伺服的模糊跟踪控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409921
Yung-Kaw Chen, Hon-E Chen, J. Yen
{"title":"Fuzzy tracking control for disk file servo","authors":"Yung-Kaw Chen, Hon-E Chen, J. Yen","doi":"10.1109/FUZZY.1995.409921","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409921","url":null,"abstract":"The design and implementation of a fuzzy logic controller on a computer disk drive track-following servo system with the Texas Instruments TMS320C30 digital signal processor board is presented. The research is part of the ongoing effort to design a single fuzzy logic controller which will handle both the track following and seeking motions of the disk head servomechanism. The integrated fuzzy logic controller is expected to reduce the switching transients between the following and the seeking motions, which is the bottleneck for current disk head servo controller design. A Zentek 3100 disk drive is modified to accommodate the fuzzy logic control loop. The control rules are constructed by considering the track error and the track-crossing error. The experimental results are presented, which show that the proposed fuzzy logic controller can achieve satisfactory performance.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128216248","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: 1
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