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

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A neural net topology for bidirectional fuzzy-neuro transformation 一种用于双向模糊神经转换的神经网络拓扑
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409879
W. Hauptmann, K. Heesche
{"title":"A neural net topology for bidirectional fuzzy-neuro transformation","authors":"W. Hauptmann, K. Heesche","doi":"10.1109/FUZZY.1995.409879","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409879","url":null,"abstract":"In this paper, we propose an integrated neuro-fuzzy system (INFS) that facilitates the functional equivalent conversion between fuzzy systems and neural networks thus combining the advantages of both paradigms. The basis for the INFS constitutes a special neural network architecture with a structure corresponding to that of a fuzzy model. In a repeated cycle, knowledge acquired from an expert is converted from a fuzzy system to a neural net which is applied to a target system to learn from the data. After completed adaptation the neural network is translated back into a fuzzy model. First results demonstrate the significant performance with respect to data-driven optimization of fuzzy system components.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"9 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":"129406930","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: 33
An approach of system reliability analysis using failure possibility and success possibility 基于故障可能性和成功可能性的系统可靠性分析方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409963
T. Onisawa
{"title":"An approach of system reliability analysis using failure possibility and success possibility","authors":"T. Onisawa","doi":"10.1109/FUZZY.1995.409963","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409963","url":null,"abstract":"The presented approach is based on the following consideration. (1) Linguistic terms are more commensurate with expressions of (un)reliability when we have not enough amount of data to express (un)reliability by numerical terms. (2) Analyst's subjectivity should be incorporated into the system reliability analysis since the subjectivity is found in the analysis. This paper mentions the subjective unreliability measure and the subjective reliability measure and the relationship among them. The relationship reflects analyst's subjectivity well. The approach includes the AND operation and the OR operation of subjective measures, the dependence model, and natural language expressions of system (un)reliability. Especially in the dependence model two kinds of dependences, i.e., failure dependence and success dependence, which are found in machine system and human task, are considered. Finally this paper gives an example of the system reliability analysis in order to show the usefulness and the feasibility of the approach.<<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":"128284618","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
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 linear programming with grade of satisfaction in each constraint 模糊线性规划在每个约束条件下的满足等级
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409771
S. Nakamura, K. Kosaka, M. Kawaguchi, H. Nonaka, T. Da-te
{"title":"Fuzzy linear programming with grade of satisfaction in each constraint","authors":"S. Nakamura, K. Kosaka, M. Kawaguchi, H. Nonaka, T. Da-te","doi":"10.1109/FUZZY.1995.409771","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409771","url":null,"abstract":"The authors introduce and modify a method for fuzzy linear programming (FLP) in which each constraint has a different grade of satisfaction. The FLP problem dealt with in the paper has fuzzy coefficients in its constraints. The fuzzy constraints can be expressed by four feasibility indices introduced by Dubois (1987) derived from four ranking indices of fuzzy numbers. A decision maker (DM) can assign the grades to the constraints by giving /spl alpha/ different values. The authors propose a modified method in which the grade is given as a fuzzy set on the unit closed interval [0, 1] reflecting human imprecision. In the authors' method, several optimal solutions are calculated, for a DM to choose from.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"35 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":"121635671","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
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
An approach to construct an emotional dialogue system based on subjective observation 一种基于主观观察的情感对话系统构建方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409743
N. Shirahama, S. Yokoji, T. Yanaru
{"title":"An approach to construct an emotional dialogue system based on subjective observation","authors":"N. Shirahama, S. Yokoji, T. Yanaru","doi":"10.1109/FUZZY.1995.409743","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409743","url":null,"abstract":"This paper introduces the basic concept of an emotional dialogue system and shows how to construct the system by computer simulation. The authors discuss a dialogue between 2 simulated persons who know only emotional words. First, the authors give an image code table of mixed emotions which are regarded as emotions in normal life. Secondly, the authors show how to design an emotional dialogue system based on the theory of a subjective observation model, which has application in several fields. The authors explain the outline of the theory. Finally, they present several attractive dialogues by computer simulation.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"207 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":"122516252","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: 6
Human expert's visual inspection in fish drying 鱼类干燥过程中人工专家的目视检查
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409710
Y. Sakai, M. Kitazawa, M. Nakamura
{"title":"Human expert's visual inspection in fish drying","authors":"Y. Sakai, M. Kitazawa, M. Nakamura","doi":"10.1109/FUZZY.1995.409710","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409710","url":null,"abstract":"Fish drying is a manufacturing for which human skill is crucial. Automatization of that process is attempted by employing knowledge which is obtained from observing human expert's way and performing necessary measurements. In every experiment, more than one hundred fishes were dried. And a vast amount of data was obtained. Thus a set of basic drying equations is obtained. Based on those experiments and outcomes, additional experiments were made in order to acquire information about fish appearance. Here in this paper, those results will be described. Two video cameras and a colorimeter were employed for measuring dryness, chromaticity and brightness. An expert's procedure and judgement of products were introduced for automatizing the drying procedure. What factors can be applicable for evaluating dried fish is gradually understood by a novice, through observing a human expert's way and sharing the same situations with him, again and again. Such ideas are rather directly utilized for determining necessary drying time and evaluating the quality of products.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"58 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":"127044860","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: 3
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
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
An acquisition method of implicit knowledge using fuzzy analogy 一种基于模糊类比的隐性知识获取方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409889
A. Inoue, S. Tano, T. Iwatani, W. Okamoto, R. Fujioka
{"title":"An acquisition method of implicit knowledge using fuzzy analogy","authors":"A. Inoue, S. Tano, T. Iwatani, W. Okamoto, R. Fujioka","doi":"10.1109/FUZZY.1995.409889","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409889","url":null,"abstract":"A method to acquire implicit knowledge among several given cases using fuzzy analogy, called fuzzy analogical learning (FAL), is briefly described. This method is proposed as a learning feature in a natural language communication system, a fuzzy lingual system, which aims to emulate the observational features of human learning and problem solvings based on experiences. Cognitive models of learning and problem solvings for the further study of FAL and a prototype implementation for demonstrating the validity of the method are described as well as a formal description of the computational model.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"38 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":"126751691","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
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