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

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Fuzzy cognitive maps over possible worlds 可能世界的模糊认知地图
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409740
P. Silva
{"title":"Fuzzy cognitive maps over possible worlds","authors":"P. Silva","doi":"10.1109/FUZZY.1995.409740","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409740","url":null,"abstract":"Generally we represent the knowledge of an intelligent agent (expert, robot, controller, and others) through graphs, fuzzy cognitive maps, knowledge maps, belief networks, probabilistic influence diagrams, and others. However, when we have a group of robots or a set of experts, in other words, a collection of intelligents agents, where each has a graph, fuzzy cognitive map, ..., there are no formal techniques to specify different levels of knowledge. The purpose of this paper is to introduce a formal technique to represent different types of knowledge in a group of agents. An appropriate causal learning law for inductively inferring fuzzy cognitive maps (FCM) from data is differential Hebbian law, which modifies causal connections by correlating time derivatives of FCM node outputs. An FCM describes causal relations between concepts, and are a form of knowledge representation far better than standard decision trees with graph search usually used in expert systems. In this article FCMs model the possible-worlds as a collection of classes and causal relations between classes. Our objective is to introduce a, novel form of knowledge acquisition using operators of modal logic of knowledge and belief and fuzzy cognitive maps.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"11 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":"126241825","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: 31
Fuzzy analysis of older adult consumer attitudes and decision-making styles: socioeconomic differences in fuzziness 老年人消费态度与决策风格的模糊分析:模糊性的社会经济差异
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409775
L. M. Fisher, S. Takayanagi, J. Birren
{"title":"Fuzzy analysis of older adult consumer attitudes and decision-making styles: socioeconomic differences in fuzziness","authors":"L. M. Fisher, S. Takayanagi, J. Birren","doi":"10.1109/FUZZY.1995.409775","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409775","url":null,"abstract":"The purpose of the present study was to explore applications of fuzzy set theory to the measurement of consumer purchasing attitudes and consumer decision-making style preferences in three groups of older adults. The question of interest was: what information can the analysis of fuzziness index provide that an analysis of traditional Likert-type scale raw score does not provide? The original study and results of the raw score analysis are described. The raw score results are compared with analyses of fuzziness index derived from raw scores. Finally, a comparison of analyses of mean fuzziness index with analyses of the standard deviation of fuzziness index is made.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"17 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":"127909877","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: 7
A fuzzy partitioning method of spectral space for remote sensing image classification 一种用于遥感影像分类的光谱空间模糊划分方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409824
Jin-il Kim, Sung-Chun Kim
{"title":"A fuzzy partitioning method of spectral space for remote sensing image classification","authors":"Jin-il Kim, Sung-Chun Kim","doi":"10.1109/FUZZY.1995.409824","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409824","url":null,"abstract":"The aim of this study is to propose an efficient method for partition of spectral space into fuzzy subspace for multi-spectral remote sensing image. The suggested method predicates on sequential subdivision of the fuzzy subspace, and the size of constructed fuzzy space is variable. Under this procedure, n-dimensional pattern space, after considering the distributional characteristic patterns, is partitioned into two different fuzzy subspaces. From the two fuzzy subspaces, the pattern space for further subdivision is chosen; then, this subdivision procedure recursively repeats itself until the stopping condition is fulfilled. The result of this study is applied to 2, 4, 7 band of satellite Landsat TM and satisfactory result is acquired.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"55 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":"132315173","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
Visual pattern based approach to object recognition 基于视觉模式的物体识别方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409840
Weijing Zhang, A. Ralescu
{"title":"Visual pattern based approach to object recognition","authors":"Weijing Zhang, A. Ralescu","doi":"10.1109/FUZZY.1995.409840","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409840","url":null,"abstract":"We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features. This knowledge includes rules which can deal with situations in which an object may be occluded. The approach is based on fuzzy logic techniques, appropriate when approximate recognition results are adequate. The concept of pattern detectors is also discussed. The approach is illustrated by examples of results for images of office scenes.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"89 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":"130480895","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
A wall following robot with a fuzzy logic controller optimized by a genetic algorithm 一种基于遗传算法优化的模糊逻辑控制器的跟着墙机器人
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410047
R. Braunstingl, J. Mujika, J. Uribe
{"title":"A wall following robot with a fuzzy logic controller optimized by a genetic algorithm","authors":"R. Braunstingl, J. Mujika, J. Uribe","doi":"10.1109/FUZZY.1995.410047","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410047","url":null,"abstract":"A wall following mobile robot equipped with ultrasonic sensors is presented. This robot uses a fuzzy logic controller and local navigation strategy. The basis for reactive navigation is provided by the concept of general perception which passes perceptual information of the sensors on to the fuzzy system without modeling walls or obstacles. Thus, no representation of the environment is needed. The rule base of the fuzzy system was designed by hand and then a genetic algorithm applied to find optimum membership functions so that the robot moves at constant distance to the wall, at high speed and as smoothly as possible. Optimization was done using a simulated robot. The results of this simulation proved satisfactorily close to reality when tested in a real robot.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"50 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":"134115406","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: 65
Fuzzy retrieval system employing fuzzy connectives with learning functions and query networks 模糊检索系统采用带学习函数的模糊连接词和查询网络
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409660
N. Wakami, E. Naito, J. Ozawa, I. Hayashi
{"title":"Fuzzy retrieval system employing fuzzy connectives with learning functions and query networks","authors":"N. Wakami, E. Naito, J. Ozawa, I. Hayashi","doi":"10.1109/FUZZY.1995.409660","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409660","url":null,"abstract":"A new fuzzy connective and network structure for queries which are constructed by fuzzy connectives are proposed to overcome a drawback of conventional fuzzy retrieval systems. In a conventional fuzzy retrieval system, it is quite difficult for a user to obtain the most suitable results since the user cannot start with making up complete queries. In our retrieval system, if a user gives an estimation of fitting samples in a database which fit the user's requests, AND/OR operators in queries which are made up of fuzzy connectives are adjusted to represent the user's requests. With the adjusted parameters and a network for the query, this fuzzy retrieval system gives results which better satisfy the user's requests. The consistencies of samples are also discussed. Inconsistent samples are defined, and an extracting method for inconsistent samples is proposed. The effectiveness of this proposed fuzzy retrieval system is shown through an experiment.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"216 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":"134537588","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
Fuzzy programs based on context of situation 基于情境上下文的模糊规划
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409769
J. Nishino, M. Sugeno
{"title":"Fuzzy programs based on context of situation","authors":"J. Nishino, M. Sugeno","doi":"10.1109/FUZZY.1995.409769","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409769","url":null,"abstract":"In this paper, a new framework for interpreting linguistic labels in executing fuzzy programs is proposed. The basic notion of a fuzzy program is that of a \"linguistic program\", which is a human friendly programming system. The FAPS2 system, an experimental framework for executing fuzzy programs, is also proposed. In this paper, the authors discuss the issues of fuzzy programs through a practical example: a \"GO\" game playing system.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"18 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":"133954060","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
Dynamic fuzzy control method and its application to positioning of induction motor 动态模糊控制方法及其在感应电机定位中的应用
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409820
N. Yubazaki, M. Otani, T. Ashida, K. Hirota
{"title":"Dynamic fuzzy control method and its application to positioning of induction motor","authors":"N. Yubazaki, M. Otani, T. Ashida, K. Hirota","doi":"10.1109/FUZZY.1995.409820","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409820","url":null,"abstract":"A fuzzy control method incorporating a time series concept is presented and applied to the positioning of an induction motor with genetic algorithm (GA) tuning. The method is consisted of a fuzzy inference management part and several fuzzy inference groups for various situations based on virtual paging method of fuzzy inference.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"59 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":"134045465","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: 21
Multi-input fuzzy reasoning employing memory network method and global/local reasoning method 多输入模糊推理采用记忆网络方法和全局/局部推理方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409738
H. Arikawa, M. Mizumoto
{"title":"Multi-input fuzzy reasoning employing memory network method and global/local reasoning method","authors":"H. Arikawa, M. Mizumoto","doi":"10.1109/FUZZY.1995.409738","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409738","url":null,"abstract":"In conventional fuzzy reasoning, when the number of input increases, the processing speed (i.e. FLIPS) decreases and the number of fuzzy rules in combination with input labels is thought to increase exponentially. This paper aims to improve these two problems by using the memory network method and global/local reasoning method.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"29 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":"134318026","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
A fuzzy smoother for the enhancement of noisy images 用于增强噪声图像的模糊平滑器
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409956
L. Pennino, M. Mancuso, R. De Luca
{"title":"A fuzzy smoother for the enhancement of noisy images","authors":"L. Pennino, M. Mancuso, R. De Luca","doi":"10.1109/FUZZY.1995.409956","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409956","url":null,"abstract":"A fuzzy based algorithm for the enhancement of noisy images is presented. Fuzzy techniques are used not only for the smoothing action, but also for understanding the image topology. In such a way good filtering performances are achieved and high-pass information is preserved. Simulation results are also provided to demonstrate the effectiveness of the proposed algorithm.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"194 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":"132985638","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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