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

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Identification of fuzzy logic functions with constants-partially specified multiple-valued Kleenean functions 带有常数的模糊逻辑函数的辨识——部分指定多值Kleenean函数
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409980
H. Kikuchi, N. Takagi, M. Mukaidono
{"title":"Identification of fuzzy logic functions with constants-partially specified multiple-valued Kleenean functions","authors":"H. Kikuchi, N. Takagi, M. Mukaidono","doi":"10.1109/FUZZY.1995.409980","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409980","url":null,"abstract":"Some properties of the partially specified fuzzy logic functions with constants are investigated and the identification problem of logic formula is solved. A fuzzy logic (switching) function is a mapping represented by means of logic formula which consists n variables, three logical connectives, and two constants of 0 and 1. In this paper, any truth values of [0,1] are allowed to be constants in logic formula. The fuzzy logic function with arbitrary constants is called multiple-valued Kleenean function. Main result is a necessary and sufficient condition for an identification problem of Kleenean function to be solved.<<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":"131018198","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
CAI system to improve hand writing skills by means of fuzzy theory 运用模糊理论提高手写能力的CAI系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409731
M. Ozaki, Y. Adachi, N. Ishii, T. Koyazu
{"title":"CAI system to improve hand writing skills by means of fuzzy theory","authors":"M. Ozaki, Y. Adachi, N. Ishii, T. Koyazu","doi":"10.1109/FUZZY.1995.409731","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409731","url":null,"abstract":"The part of a hand writing skills improving CAI (computer assisted instruction) system for elementary schools is developed for five Japanese characters in this study. Similarity evaluation functions (membership functions) are designed for beginners', medium and higher grades from the standard characters which we believe well balanced. In the beginners' grade, two types of learning, tracing and copying, are introduced. A promotion is automatically decided from the average score of the last three times of similarity evaluations using fuzzy inferences. Furthermore, in the medium and higher grades, each stroke is compared with that of the standard character and proper instructions are given to improve the hand writing skills detailed.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"157 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":"132889347","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
Associative memory based fuzzy knowledge construction and refinement 基于联想记忆的模糊知识构建与细化
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409875
H. Ushida, T. Yamaguchi, T. Takagi
{"title":"Associative memory based fuzzy knowledge construction and refinement","authors":"H. Ushida, T. Yamaguchi, T. Takagi","doi":"10.1109/FUZZY.1995.409875","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409875","url":null,"abstract":"A construction method and a refinement method of fuzzy knowledge are proposed in order to apply them to intelligent multi-modal interfaces. This paper supposes that the interface requires the following three functions at least: 1) a function that constructs knowledge using instances instead of if-then rules; 2) a function that transforms mutually between the upper conceptual label represented by words and the lower conceptual label represented by physical values in order to realize multi-modality; and 3) a function that refines the knowledge using qualitative instruction such as a learning process. This paper proposes the methods using fuzzy associative memory organizing units system (FAMOUS) in order to realize these functions and applies them to estimation of human movements. Experimental results show proposed methods provide functions and are suitable to intelligent multi-modal.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"143 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":"132151432","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
Use of fuzzy if-then rules for pattern classification 使用模糊if-then规则进行模式分类
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409898
D. Mandal, H. Tanaka
{"title":"Use of fuzzy if-then rules for pattern classification","authors":"D. Mandal, H. Tanaka","doi":"10.1109/FUZZY.1995.409898","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409898","url":null,"abstract":"An efficient fuzzy partitioning method of a feature space for pattern classification problems is proposed in this article. A feature space is initially decomposed into some overlapping subspaces depending on the relative positions of the pattern classes found in the training samples. To reflect the pattern classes by the generated subspaces, a few fuzzy if-then rules are then obtained in terms of a relational matrix. The relational matrix is utilized in the modified compositional rule of inference in order to recognize an unknown pattern. The proposed system is capable of handling incomplete and other imprecise information both in the learning and processing phases. The effectiveness of the system is demonstrated on two real life problems. The proposed system is capable of reflecting the nonoverlapping, overlapping and no-class regions of the feature space by providing output decisions in terms of single, multiple and null choices. The multivalued outputs are found to be superior than existing classical and fuzzy approaches.<<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":"132573333","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
Image occlusions as a fuzzy reasoning problem 图像遮挡作为一个模糊推理问题
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409959
T. Law, H. Itoh, H. Seki
{"title":"Image occlusions as a fuzzy reasoning problem","authors":"T. Law, H. Itoh, H. Seki","doi":"10.1109/FUZZY.1995.409959","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409959","url":null,"abstract":"The analysis of images which include partially occluded objects must necessarily deal with incomplete information. Fuzzy reasoning is a natural tool for such an application. In this paper, we formulate a method using fuzzy reasoning to recognize various instances of occlusion. The method makes use of image grey levels, triple point incident angles, and curvature of completed objects to evaluate candidate configurations. Furthermore, we implement this method and evaluate it on real test images.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"40 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":"127408889","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
A gestural instruction learning robot using information infrastructure 使用信息基础设施的手势指令学习机器人
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410049
T. Yamaguchi, N. Kanazawa, K. Akita, M. Yoshihara
{"title":"A gestural instruction learning robot using information infrastructure","authors":"T. Yamaguchi, N. Kanazawa, K. Akita, M. Yoshihara","doi":"10.1109/FUZZY.1995.410049","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410049","url":null,"abstract":"This paper proposes a gestural instruction learning algorithm for robots which move in response to video information. Applying the algorithm to an actual moving robot in a trajectory learning experiment confirms that it enables a robot to understand, on the same level that a dog might, both the meaning of a human macro sign (i.e. a figure-eight sign) and the qualitative sense inherent in a human macro qualitative instruction (i.e. a figure-eight trajectory with a large width). The proposed algorithm refines the robot moving trajectory through the use of a fuzzy associative memory system. It is demonstrated that the use of macro qualitative instructions in the proposed algorithm enables trajectory learning to be attained more quickly than with the use of micro instructions in a conventional algorithm.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"21 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":"115363507","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
Implementation of integrated fuzzy logic controller for servomotor system 伺服电机系统集成模糊控制器的实现
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409919
M. Shieh, T.-H.S. Li
{"title":"Implementation of integrated fuzzy logic controller for servomotor system","authors":"M. Shieh, T.-H.S. Li","doi":"10.1109/FUZZY.1995.409919","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409919","url":null,"abstract":"This paper addresses the experimental implementation of an integrated fuzzy logic controller (IFLC) to a DC-servomotor system (Feedback MS150 system). We apply the proposed structure to improve the performance of the original existed control system. The experimental results demonstrate that the IFLC is effective in the angular position and speed control of the servomotor under light and heavy load, and balanced and unbalanced inertia disc load conditions.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"3 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":"123903523","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: 15
ASAFES.2: a novel, neuro-fuzzy architecture for fuzzy computing based on functional reasoning 2:一种基于功能推理的模糊计算神经模糊架构
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409756
A. Vasilakos, K. Zikidis
{"title":"ASAFES.2: a novel, neuro-fuzzy architecture for fuzzy computing based on functional reasoning","authors":"A. Vasilakos, K. Zikidis","doi":"10.1109/FUZZY.1995.409756","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409756","url":null,"abstract":"The proposed architecture, ASAFES2, is a function approximator which combines the functional reasoning or Sugeno's fuzzy reasoning method with stochastic reinforcement learning-a class of quite powerful neural network training algorithms. It is a simple and versatile mathematical tool for fuzzy computing, featuring smooth and quick convergence and ease of use. The main ideas are the fuzzy partitioning of the input space into fuzzy subspaces (each corresponding to a possible fuzzy rule), and the use of a separate, stochastic reinforcement learning neural unit (ANASA II) for every fuzzy subspace, in order to calculate the optimum consequence parameters. Some preliminary results are presented, proving ASAFES2 superior over backpropagation. A new, and \"flexible\" membership function is also proposed.<<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":"114382378","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: 14
Fuzzy integral of vector valued functions and its mathematical model 向量值函数的模糊积分及其数学模型
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409995
Y. Matsushita, H. Kambara
{"title":"Fuzzy integral of vector valued functions and its mathematical model","authors":"Y. Matsushita, H. Kambara","doi":"10.1109/FUZZY.1995.409995","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409995","url":null,"abstract":"In this paper, a fuzzy integral of vector valued functions is developed by extending the mapping /spl Phi/:R/spl times/R/spl rarr/R of utility function with mutual utility independence to the mapping /spl Phi//sup */:V/spl times/V/spl rarr/R. The extended mapping /spl Phi//sup */ can be regarded as the sum of the Lebesgue integral on an attribute space and an interaction space. They correspond to a vector space V and a second order alternating tensor space A/sup 2/(V) respectively. If /spl Phi/ is a monotone increasing function, because any measure is constituted by a fuzzy measure, then /spl Phi//sup */ can be considered as a fuzzy integral. In addition, numerical examples by using this theory are executed in order to show the effects of the correlation between attributes on the nonadditivity of fuzzy measures.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"150 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":"116389719","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
Shape control of rolling mills by a neural and fuzzy hybrid architecture 基于神经与模糊混合结构的轧机板形控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410036
Y. Morooka
{"title":"Shape control of rolling mills by a neural and fuzzy hybrid architecture","authors":"Y. Morooka","doi":"10.1109/FUZZY.1995.410036","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410036","url":null,"abstract":"Hitachi Ltd has developed pattern recognition and control techniques which combine neural network and fuzzy logic. Conventionally, skilled operators recognize and manually control waveform patterns based on their sense and experience. The new system recognizes and controls waveform patterns by means of neural networks and fuzzy logics to realize fully automatic shape control of rolling mills. The neural network recognizes spatially distributed waveform patterns from sensor signals, and the fuzzy logics operate multiple final control elements for automatic pattern control. The developed control technique has been applied to automatic shape control system for a Sendzimir Rolling Mill. Shape control for this type of rolling mill is difficult with conventional automatic control systems because of complicated rolling phenomena and the difficulty of creating a control models. Tests with an actual rolling system proved that the new technique achieves more accurate control than the conventional manual operation by skilled operators. The system has been applied at a few plants and is operating favorably.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"23 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":"121994416","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
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