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

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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
Design of fuzzy model following servo control systems 模糊模型跟随伺服控制系统的设计
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409920
S. Kawaji, N. Matsunaga
{"title":"Design of fuzzy model following servo control systems","authors":"S. Kawaji, N. Matsunaga","doi":"10.1109/FUZZY.1995.409920","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409920","url":null,"abstract":"In real situations, an exact dynamic model of the plants can be scarcely obtained, and the desired characteristics of the control systems are specified in wide ranges. In order to get a satisfactory solution to the problems, a new fuzzy model following servo control system is proposed in this paper. The effectiveness of the proposed method is shown for a nonlinear DC servomotor system.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"10 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":"114376716","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
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
Compatible cluster merging for fuzzy modelling 兼容聚类合并模糊建模
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409789
U. Kaymak, R. Babuška
{"title":"Compatible cluster merging for fuzzy modelling","authors":"U. Kaymak, R. Babuška","doi":"10.1109/FUZZY.1995.409789","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409789","url":null,"abstract":"Making a fuzzy model of a dynamic process requires the tuning of many parameters. Doing this heuristically is tedious and time consuming. Clustering techniques provide an easier way for forming fuzzy model using measurements made on the system. However, the number of clusters and hence the number of rules the fuzzy rule-base must be determined a priori. It is usually not possible to determine beforehand the optimal number of rules in a rule-base. In this paper, a compatible cluster merging algorithm is suggested for finding the \"optimal\" number of rules in a rule base. It is based on the compatible cluster merging algorithm proposed recently. The original compatible cluster merging algorithm has certain undesired properties for fuzzy modelling. Hence, a modification is proposed and a modified compatible cluster merging algorithm is described. The new algorithm combines techniques from the original compatible cluster merging, fuzzy multicriteria decision making and heuristics. Examples are given that show the applicability of the proposed method.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"66 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":"125937438","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: 116
Logical filtering in solving fuzzy relational equations 求解模糊关系方程的逻辑滤波
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409757
K. Hirota, W. Pedrycz
{"title":"Logical filtering in solving fuzzy relational equations","authors":"K. Hirota, W. Pedrycz","doi":"10.1109/FUZZY.1995.409757","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409757","url":null,"abstract":"The paper introduces an idea of logical filtering viewed as a new tool for solving fuzzy relational equations. Considering the panoply of the existing methods, the proposed approach can be classified as a semi-analytic method in the sense it departures from the individual analytical solutions to the individual equations in the system and combines them through an optimization process of logical filtering (masking). Several types of filtering are studied and provided with the detailed learning schemes.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"37 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":"133131904","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 structural modeling based on FISM/fuzzy 基于FISM/ Fuzzy的模糊结构建模
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409977
T. Mitamura, A. Ohuchi
{"title":"Fuzzy structural modeling based on FISM/fuzzy","authors":"T. Mitamura, A. Ohuchi","doi":"10.1109/FUZZY.1995.409977","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409977","url":null,"abstract":"Computer-supported cooperative work (CSCW) has emerged in the middle of the 80s as an identifiable research field focused on the role of computer technology in group work. CSCW examines how people work together in groups and how computer technology can support them. FISM (flexible interpretive structural modeling) developed by the author, is a method to develop structural models of complex systems. In this paper, FISM is extended to develop a new idea processing method: FISM/fuzzy. FISM/fuzzy is a fuzzy version of FISM. Some theoretical results which enable to model logically and efficiently are derived. The process of construct the structure of complex systems by FISM/fuzzy is called the FISM/fuzzy session. Outline of the FISM/fuzzy session is described and efficiency of the session is proposed. An illustrated example is shown.<<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":"114069337","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: 5
Radial basis function based adaptive fuzzy systems 基于径向基函数的自适应模糊系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409688
K. Cho, Bo-Hyeun Wang
{"title":"Radial basis function based adaptive fuzzy systems","authors":"K. Cho, Bo-Hyeun Wang","doi":"10.1109/FUZZY.1995.409688","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409688","url":null,"abstract":"This paper describes a fuzzy system with adaptive capability to extract fuzzy IF-THEN rules from input and output sample data. The proposed system, called radial basis function (RBF) based adaptive fuzzy system (AFS), employs the Gaussian functions to represent the membership functions of the premise part of fuzzy rules. Three architectural deviations of the RBF based APS are also presented according to different consequence types. These provide versatility of the network to handle arbitrary fuzzy inference schemes. We present examples of classification and time series prediction to illustrate how to solve these problems using the RBF based AFS. We also compare the results of our approach with those of others to demonstrate its validity and effectiveness.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1024 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":"113995227","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: 17
A GA-based fuzzy controller with sliding mode 一种基于遗传算法的滑模模糊控制器
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409821
Sinn-Cheng Lin, Yung-Yaw Chen
{"title":"A GA-based fuzzy controller with sliding mode","authors":"Sinn-Cheng Lin, Yung-Yaw Chen","doi":"10.1109/FUZZY.1995.409821","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409821","url":null,"abstract":"In this study, the genetic algorithms are applied to find out a nearly optimal fuzzy rule-base for fuzzy sliding mode controller in the sense of fitness. In conventional fuzzy logic controllers (FLC), linearly increasing in either input variables or input linguistic labels would lead the number of rules grow up exponentially. Since the larger size of rule base would cause the longer string length and higher computing load, it becomes one of the difficulties of realizing genetic algorithms to search the suitable rules or membership functions for fuzzy logic controllers. This paper will show that the number of rules in fuzzy sliding mode controller (FSMC) is a linear function of input variables, such that the inferring load of the inference engine in FSMC is more light than that of FLC, and the string length of unknown parameters in FSMC is shorter than that in FLC. Therefore, using genetic algorithms to search fuzzy rules or membership functions for FSMC becomes more economical and applicable. The simulation results verify the efficiency of proposed approach.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"26 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":"123940011","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: 29
Object recognition system in a dynamic environment 动态环境下的目标识别系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409848
M. Kawade
{"title":"Object recognition system in a dynamic environment","authors":"M. Kawade","doi":"10.1109/FUZZY.1995.409848","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409848","url":null,"abstract":"There are many difficult and complicated problems in an object recognition used for a navigation system. For example, an object changes its appearance depending on the direction it is seen from, the overlapping with other object or direction of the light. Lacking of processing time is also among those problems. In this paper, we propose an object recognition system in a dynamic environment based on fuzzy logic and Dempster-Shafer's theory which can integrate various inferences.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"54 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":"124052897","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: 5
A logical foundation of graded modal operators defined by fuzzy measures 由模糊测度定义的梯度模态算子的逻辑基础
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409674
T. Murai, M. Miyakoshi, M. Shimbo
{"title":"A logical foundation of graded modal operators defined by fuzzy measures","authors":"T. Murai, M. Miyakoshi, M. Shimbo","doi":"10.1109/FUZZY.1995.409674","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409674","url":null,"abstract":"To give rigid semantics to graded modal operators, an extended fuzzy-measure-based model is defined as a family of minimal models for modal logic, each of which corresponds to an intermediate value of a fuzzy measure. Soundness and completeness results of several systems of modal logic are proved with respect to classes of newly introduced models based on intermediate values of fuzzy, possibility, necessity, and Dirac measures, respectively. It is emphasized that a fuzzy measure inherently contains a multimodal logical structure.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"10 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":"127883902","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
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