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

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Fuzzy modeling - a control engineering perspective 模糊建模-控制工程的视角
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409939
R. Babuška
{"title":"Fuzzy modeling - a control engineering perspective","authors":"R. Babuška","doi":"10.1109/FUZZY.1995.409939","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409939","url":null,"abstract":"Recent advances in the theory of fuzzy modeling and a number of successful real-world applications show that fuzzy models can be efficiently applied to complex nonlinear systems untractable with standard linear methods. Besides the capability of modeling nonlinear systems, there are other properties that make fuzzy models interesting not only theoretically but also for the industrial practice. This paper attempts to overview various approaches to fuzzy modeling, seen from the control engineering perspective. Special attention is focused on the construction of fuzzy models from numerical data and the possibility of incorporating a priori knowledge about the system and some open problems are highlighted.<<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":"128645150","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: 38
Fundamentals of fuzzy knowledge base for image understanding 图像理解模糊知识库基础
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409826
Y. Nakagawa, K. Hirota
{"title":"Fundamentals of fuzzy knowledge base for image understanding","authors":"Y. Nakagawa, K. Hirota","doi":"10.1109/FUZZY.1995.409826","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409826","url":null,"abstract":"Fundamentals of fuzzy knowledge base for image understanding are dealt with, It consists of the data-word transformation part (to transform numerical data, derived from image processing, into words) and answer generation part (to answer about objects and phenomena in the image world). Ambiguous recognition results are handled by a fuzzy matching and a fuzzy frame knowledge-based system. By applying fuzzy IF-THEN rules, the process of image understanding can be made independent of weather conditions and daylight changing. This system also employs user friendly information retrieval system by applying natural language instructions.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"8 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":"128718151","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: 11
Fuzzy database systems 模糊数据库系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410030
M. Umano, I. Hatono, H. Tamura
{"title":"Fuzzy database systems","authors":"M. Umano, I. Hatono, H. Tamura","doi":"10.1109/FUZZY.1995.410030","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410030","url":null,"abstract":"We demonstrate a fuzzy object-oriented database system based on the possibility-distribution fuzzy-relational model proposed by us. And we present two data manipulation languages based on the fuzzy relational algebra and SQL (structured query language), which are standard in ordinary database systems for theoretical issue and practical use.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"5 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":"129319796","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: 22
A fuzzy expert system for geographical problems: an agricultural application 地理问题模糊专家系统在农业中的应用
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409728
D. Saint-Joan, J. Desachy
{"title":"A fuzzy expert system for geographical problems: an agricultural application","authors":"D. Saint-Joan, J. Desachy","doi":"10.1109/FUZZY.1995.409728","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409728","url":null,"abstract":"In this paper, a fuzzy expert system is described for decision-making in geographical information systems (GIS), because fuzzy logic and expert system technology are available methods for approximating human reasoning and enhancing the level of intelligence in GIS. This system computes a potentiality map for problem solution with a problem specification provided by the user and expert knowledge (by means of production rules). It is a fuzzy expert system using a generalised modus ponens based on the fuzzy implication of Brouwer-Godel which is implemented by a fast algorithm. Several kind of rules are accepted and especially gradual rules. We have experimented our system on \"Palni Hills\", a mountainous region of meridional India to locate areas where the profitability of agriculture could be generally the best. The system is explicitly designed to provide the user with a decision-making environment for the cartographic problem solution to be carried out in a flexible manner.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"71 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":"124770682","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: 16
Fast and feasible reinforcement learning algorithm 快速可行的强化学习算法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409907
S. Ono, Y. Inagaki, H. Aisu, H. Sugie, T. Unemi
{"title":"Fast and feasible reinforcement learning algorithm","authors":"S. Ono, Y. Inagaki, H. Aisu, H. Sugie, T. Unemi","doi":"10.1109/FUZZY.1995.409907","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409907","url":null,"abstract":"It is desirable that agents can determine themselves the next action to execute, using fast and feasible learning algorithm to adapt itself the dynamic environments. The reinforcement learning method is suitable for learning in an a priori known environment. We have improved IBRL1 (Instance-Based Reinforcement Learning 1), which is based on the instance-based learning approach, to increase the convergence and feasibility of learning in a grid world. It is supposed that the learning agents do not themselves know the correct position in the grid world, but that they receive inputs from their sensors. Thus, agents are faced with what is known as the hidden state problem. The payment of immediate cost in a bucket brigade algorithm, the distribution of delayed reward by profit sharing, and the use of a time series achieves fast and feasible convergence in environments that include the hidden state problem. The capability of this algorithm is demonstrated in the grid world. By using this algorithm, our robot in the simulation is able to learn the path to the goal. Experiment demonstrates a learning effect through decline in the spent steps during repetitions of goal search.<<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":"129210487","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
Intelligent system design support by fuzzy-multi-criteria decision making and/or evolutionary algorithms 智能系统设计支持模糊多准则决策和/或进化算法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409705
H. Zimmermann, H. Sebastian
{"title":"Intelligent system design support by fuzzy-multi-criteria decision making and/or evolutionary algorithms","authors":"H. Zimmermann, H. Sebastian","doi":"10.1109/FUZZY.1995.409705","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409705","url":null,"abstract":"The complexity of the environment, in which strategic decisions are made, seems to be the main reason why intelligent decision support systems (IDSS, also called active DSS - ADSS) are needed. There are several reasons for the complexity: the information and knowledge for the decisions is incomplete, uncertain or imprecise or even inconsistent, the information overload is still increasing, there are multiple, often conflicting goals and multiple different type constraints, there are time constraints for the decisions in a changing environment, and there is a tendency towards group decision making. The authors present methods, technologies and techniques for the development of IDSS.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"45 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":"123363656","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: 38
Self-structuring fuzzy systems for function approximation 函数逼近的自结构模糊系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409792
V. Gorrini, T. Salome, H. Bersini
{"title":"Self-structuring fuzzy systems for function approximation","authors":"V. Gorrini, T. Salome, H. Bersini","doi":"10.1109/FUZZY.1995.409792","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409792","url":null,"abstract":"This paper presents an algorithm developed in a biological spirit and dedicated to the incremental building of fuzzy systems for function approximation. It is called EFUSS (evolving fuzzy systems structure) and aims at automatically and incrementally finding the minimal number of membership functions along with their appropriate shaping. The main mechanisms constituting our algorithm are to: observe the oscillatory tendency of the parameters defining the output part of the fuzzy rules, then detect the most oscillatory one, and finally supply the zone covered by the input of this strongly oscillating rule with a complementary fuzzy rule.<<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":"121174344","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
Macroscopic understanding of the game situations in GO 对围棋游戏情境的宏观理解
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409877
T. Yokogawa, J. Nishino, Y. Mizuno
{"title":"Macroscopic understanding of the game situations in GO","authors":"T. Yokogawa, J. Nishino, Y. Mizuno","doi":"10.1109/FUZZY.1995.409877","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409877","url":null,"abstract":"Chess program has a great progress by a method of game tree search. In the contrary, the search method does not work well in GO, because GO has much vaster search space. In this paper, we propose that a fuzzy approach can be applied to GO algorithm; especially for understanding of \"Atsumi(thickness)\". \"Atsumi\" is treated as mixed fuzzy values of various axes similar to ones human players use when they decide the strategy. We also propose that general rules of GO strategy can be written by \"Atsumi\" and show that the approach is applicable to open game or beginning of middle game of GO.<<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":"121396775","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
O'INCA design framework O'INCA设计框架
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409807
M. Thint, Wenjun Zheng
{"title":"O'INCA design framework","authors":"M. Thint, Wenjun Zheng","doi":"10.1109/FUZZY.1995.409807","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409807","url":null,"abstract":"O'INCA design framework is a software tool for design and implementation of \"intelligent\" (adaptive and expert) systems. It allows for integration of fuzzy logic, neural networks and user-defined modules in one framework. It combines graphical user interface (GUI), design validation, simulation, debugging, C code generation, and design documentation facilities into a unified environment. O'INCA enables the user to focus on high-level applications by reducing low-level programming tasks. It can be used to develop diverse types of applications, including decision support,process control, pattern recognition, and system modeling and identification. The tool and two application examples are described in this paper.<<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":"114348157","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
Computational intelligence and multimedia in education: NASA/RMS arm, control in diabetes, intelligent workstation, and management decision aide 教育中的计算智能和多媒体:NASA/RMS臂，糖尿病控制，智能工作站和管理决策辅助
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.410037
M. L. Padgett, A. Albisser, J. Mica, E. Brannon, R. Lea, C. R. White, Y. Jani
{"title":"Computational intelligence and multimedia in education: NASA/RMS arm, control in diabetes, intelligent workstation, and management decision aide","authors":"M. L. Padgett, A. Albisser, J. Mica, E. Brannon, R. Lea, C. R. White, Y. Jani","doi":"10.1109/FUZZY.1995.410037","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410037","url":null,"abstract":"The use of computational intelligence and multimedia in the formal classroom and in continuing education is a powerful, many faceted tool. We summarize the system development principles important in educating engineers and scientists in the practical application of these tools. Intelligent systems, human interfaces, neural networks, genetic algorithms, evolutionary systems and virtual reality form a toolbox of opportunities. Examples are discussed in the light of turning fuzzy computing concepts into applications. Simulation skills needed for success in industry are emphasized. A prime example of such an educational tool is the system developed at the NASA Goddard Space Flight Center for full scale simulation in actual hardware of the Remote Manipulator System (RMS) arm used on the Shuttle. Other examples include the new Teledoc software expert system at the Diabetes Research Institute (DRI). The computer \"talks\" to callers to elicit information about glucose levels, stress, exercise, diet and various symptoms before adjusting insulin dosages, alerting patients to potential problems add their solutions-including calling the doctor. An intelligent workstation designed to filter information for busy executives, and a decision aide for managers are also discussed.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"13 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":"114526576","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
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