{"title":"Flexible building-block system using linguistic expressions","authors":"S. Fukushima, M. Minoh","doi":"10.1109/FUZZY.1995.410021","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410021","url":null,"abstract":"The building block system described is constructed in a computer graphics world and allows users to use three kinds of input methods-mouse pointing, slider bar input and linguistic expressions-thus enabling users to design 3D models easily. Because a linguistic expression is converted into an image, users can see what the interpretation of the system is. The system also utilizes the semantic meaning implied in linguistic expressions, thus helping the user understand the 3D space and reducing the burden on the user.<<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":"121185727","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}
{"title":"Fuzzy model of joystick operation for cursor positioning on a CRT on cervical injuries","authors":"M. Ide, K. Kurosu","doi":"10.1109/FUZZY.1995.409734","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409734","url":null,"abstract":"This report deal with operational characteristics of a pointing device for persons who have cervical injuries and who suffer from spasms and paralysis of extremities. The characteristics are modeled by algorithm of automatic generation for fuzzy inference rule of simplified method. The teaching data of fuzzy inference are obtained on cursor positioning experiments of a joystick with single-speed floating action. It is observed that the fuzzy models exchange the operation rules near by target, and that cervical injury's exchange distances are farther than abled person's exchange distances.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"14 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":"123778411","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}
{"title":"Fuzzy modeling: an adaptive approach","authors":"S. Tan, Yi Yu","doi":"10.1109/FUZZY.1995.409788","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409788","url":null,"abstract":"Fuzzy modeling of multivariable discrete-time nonlinear dynamical systems is approached analytically in this paper. We start by developing a proper framework based on the key notions of fuzzy quantization and function approximation. This framework allows the fuzzy modeling to be justified with mathematical rigor, and the modeling problem be formulated in a way suitable for an analytical solution. Based on the formulation, an online scheme is developed that adaptively forms the fuzzy model from samples of a dynamical system by generating and modifying a set of fuzzy rules and membership functions. The convergence analysis of the scheme is carried out rigorously based on the Lyapunov theory, and the major convergence result is established. The scheme is also applied to a few nonlinear modeling problems to demonstrate its feasibility and effectiveness.<<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":"123794625","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}
{"title":"Inferences in natural language understanding","authors":"S.W.K. Chan","doi":"10.1109/FUZZY.1995.409794","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409794","url":null,"abstract":"This paper presents a subsymbolic fuzzy approach to language understanding. The author addresses the issue of natural language understanding in terms of two fundamental inferences: 1) the reasoning of implicit knowledge surrounding the text; and 2) the deduction from the explicit context of the sentences. Fuzzy reasoning and connectionist techniques are employed in order to yield right results. They are flexible enough to work in a natural language environment which is characterized by almost infinite variability. Firstly, linguistic meanings are encoded in subsymbolic microfeatures. A technique of fuzzy reasoning in a fuzzy rule matrix is used to capture the surrounding knowledge in the text. Finally, a fuzzy unification process is employed to form a coherent structure and comprehend the context.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"22 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":"125331073","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}
N. Harada, K. Ishimaru, A. Nukuzuma, H. Furukawa, K. Yamada
{"title":"Cooperative dialog system for decision support","authors":"N. Harada, K. Ishimaru, A. Nukuzuma, H. Furukawa, K. Yamada","doi":"10.1109/FUZZY.1995.410016","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410016","url":null,"abstract":"A decision support system that behaves cooperatively in interactions with a user is demonstrated. The system is designed to achieve two types of cooperative behaviors: cooperation for interaction and cooperation for decision support. The system has a user model, an interactive decision support mechanism using a fuzzy programming method for cooperation for decision support, a response generation mechanism and a topic manager for cooperation for interaction. Moreover, two types of cooperation are integrated to achieve natural communication with users, though the system handles only relatively simple decision support problems based on data retrieval.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"4162 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":"127559999","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}
{"title":"Fuzzy systems approximation by frames-SISO case","authors":"A. Shmilovici, O. Maimon","doi":"10.1109/FUZZY.1995.409961","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409961","url":null,"abstract":"In this paper, the approximation problem of SISO fuzzy systems by frames is discussed. Based on the fact that fuzzy systems can be represented by a linear combination of fuzzy basis functions (FBF), we first discuss the mathematical theory of frames in a Hilbert space, and then the conditions under which a FBF is a valid frame. Fuzzy membership functions which constitute a valid frame can universally approximate any continuous function. The triangular membership function is demonstrated as such, and it's approximation properties are discussed.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"320 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":"122476647","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}
T. Yamaguchi, M. Yoshihara, M. Akiba, M. Kuga, N. Kanazawa, K. Kamata
{"title":"Japanese sign language recognition system using information infrastructure","authors":"T. Yamaguchi, M. Yoshihara, M. Akiba, M. Kuga, N. Kanazawa, K. Kamata","doi":"10.1109/FUZZY.1995.410043","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.410043","url":null,"abstract":"The paper proposes a Japanese sign language recognition system that makes associative inferences from video information. The proposed system uses two associative memory features: association robustness and associative memory combination. A test of the actual system was made using sixteen words and the recognition system correctly distinguished all words.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"60 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":"131145679","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}
{"title":"A direct adaptive fuzzy SMC-a case study of ROV","authors":"A. Trebi-Ollennu, B. A. Stacey, B. White","doi":"10.1109/FUZZY.1995.409950","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409950","url":null,"abstract":"Fuzzy logic control (FLC) has been applied successfully to many practical problems. Nevertheless, it is viewed with some scepticism, since it does not share the formality of conventional control techniques. It is the purpose of this paper to build on the framework of adaptive fuzzy systems developed by Wang Lin-Xin (1992, 1994), by combining it with sliding mode control (SMC), thereby eliminating some of the limitations of SMC and adaptive fuzzy systems by incorporating the merits of both techniques. Lyapunov's direct method is used to show that an approximate controller can result in a closed-loop system which is stable. The technique developed is applied to a MIMO ROV.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"19 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":"128152469","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}
{"title":"Aspects of fuzzy computing","authors":"L. Kóczy","doi":"10.1109/FUZZY.1995.409971","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409971","url":null,"abstract":"Four different aspects of fuzzy computing are briefly related: the problem of interpolating in sparse fuzzy rule bases so that the shape of the conclusion is never deformed, a clustering technique using the definition of distance according to the fuzzy rule interpolation algorithm, the properties of fuzzy sequential circuits and the problem of defuzzification in fuzzy control with a certain new method maximizing the possibility of the defuzzified value.<<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":"131929239","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}
{"title":"A new proof of completeness of fuzzy logic and some conclusions for approximate reasoning","authors":"V. Novák","doi":"10.1109/FUZZY.1995.409872","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409872","url":null,"abstract":"The basic property of fuzzy logic is the completeness property, provided that L=[0, 1] or it is a finite chain. Some quite complicated proofs are simplified, and it is shown that fuzzy logic can be regarded in a different light .<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"177 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":"134323935","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}