Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583623
J. Jang
This paper presents the continued work of a previously proposed ANFIS (Adaptive Neuro-Fuzzy Fuzzy Inference System) architecture with emphasis on the applications to dynamic system identification. We demonstrate the use of ANFIS for the hair dryer modeling problem and compare its performance with the ARX model.
{"title":"Neuro-fuzzy modeling for dynamic system identification","authors":"J. Jang","doi":"10.1109/AFSS.1996.583623","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583623","url":null,"abstract":"This paper presents the continued work of a previously proposed ANFIS (Adaptive Neuro-Fuzzy Fuzzy Inference System) architecture with emphasis on the applications to dynamic system identification. We demonstrate the use of ANFIS for the hair dryer modeling problem and compare its performance with the ARX model.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123015205","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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583633
Hyun-Sook Rhee, Kyung-Whan Oh
The primary concern with the use of any clustering is how well it has identified the structure that is present in the data. This is the "cluster validity problem". In this paper, we define G as a measure of the quality of clustering which is based on the mini-max filter concept and fuzzy theory. It measures the overall average compactness and separation of a fuzzy c-partition and explore the properties of G, and we define I/sub G/ as a more suitable measure to compare the clustering result of one fuzzy c/sub 1/-partition with another c/sub 2/-partition of a data set. We show the measure I/sub G/ can be used to select an optimal number of clusters.
{"title":"A performance measure for the fuzzy cluster validity","authors":"Hyun-Sook Rhee, Kyung-Whan Oh","doi":"10.1109/AFSS.1996.583633","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583633","url":null,"abstract":"The primary concern with the use of any clustering is how well it has identified the structure that is present in the data. This is the \"cluster validity problem\". In this paper, we define G as a measure of the quality of clustering which is based on the mini-max filter concept and fuzzy theory. It measures the overall average compactness and separation of a fuzzy c-partition and explore the properties of G, and we define I/sub G/ as a more suitable measure to compare the clustering result of one fuzzy c/sub 1/-partition with another c/sub 2/-partition of a data set. We show the measure I/sub G/ can be used to select an optimal number of clusters.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128933736","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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583632
Philip Chen, Yuan Lu
Fuzzy-set theory is compatible with the basic premises of the prototype theory of concept representation. Concept formation is defined as a machine learning task that captures concepts through categorizing the observation of objects and also uses them in classifying future experiences. A reasonable computational model of concept formation must reflect the characteristics of human concept learning and categorization. In this paper, the design and implementation of a fuzzy-set based concept formation system (FUZZ) is presented. The main feature of the FUZZ is that the concept hierarchy is non-disjoint, in which an instance may belong to two categories in different memberships. An information-theoretic evaluation measure called category binding to direct searches in the FUZZ is proposed. The learning and classification algorithms of the FUZZ are also given. In order to examine FUZZ's behavior, the results of some experiments are examined.
{"title":"A fuzzy-based concept formation system for categorization and numerical clustering","authors":"Philip Chen, Yuan Lu","doi":"10.1109/AFSS.1996.583632","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583632","url":null,"abstract":"Fuzzy-set theory is compatible with the basic premises of the prototype theory of concept representation. Concept formation is defined as a machine learning task that captures concepts through categorizing the observation of objects and also uses them in classifying future experiences. A reasonable computational model of concept formation must reflect the characteristics of human concept learning and categorization. In this paper, the design and implementation of a fuzzy-set based concept formation system (FUZZ) is presented. The main feature of the FUZZ is that the concept hierarchy is non-disjoint, in which an instance may belong to two categories in different memberships. An information-theoretic evaluation measure called category binding to direct searches in the FUZZ is proposed. The learning and classification algorithms of the FUZZ are also given. In order to examine FUZZ's behavior, the results of some experiments are examined.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131256240","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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583699
Sue-Ping Shu, Ling-Ling Wang
An inference method which matches the intuition of human reasoning is proposed. For each fuzzy rule "If x is A/spl tilde/ then y is B/spl tilde/", the proposed inference method produces an output fuzzy subset B/spl tilde/' according to the spatial relationship of input fuzzy subset A/spl tilde/' and the antecedent A/spl tilde/. The membership function of the output fuzzy subset B/spl tilde/' is of the same shape as that of the input fuzzy subset A/spl tilde/'. Moreover, the spatial relationship of B/spl tilde/ and B/spl tilde/' is consistent with that of A and A/spl tilde/'. Experiments on a truck backer-parking controller are performed to compare our proposed inference method with E.H. Mamdani's (1981) method. These experiments show that our results compare favorably with those of Mamdani's method.
{"title":"A new approach to fuzzy logic inference based on spatial relationship of fuzzy subsets","authors":"Sue-Ping Shu, Ling-Ling Wang","doi":"10.1109/AFSS.1996.583699","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583699","url":null,"abstract":"An inference method which matches the intuition of human reasoning is proposed. For each fuzzy rule \"If x is A/spl tilde/ then y is B/spl tilde/\", the proposed inference method produces an output fuzzy subset B/spl tilde/' according to the spatial relationship of input fuzzy subset A/spl tilde/' and the antecedent A/spl tilde/. The membership function of the output fuzzy subset B/spl tilde/' is of the same shape as that of the input fuzzy subset A/spl tilde/'. Moreover, the spatial relationship of B/spl tilde/ and B/spl tilde/' is consistent with that of A and A/spl tilde/'. Experiments on a truck backer-parking controller are performed to compare our proposed inference method with E.H. Mamdani's (1981) method. These experiments show that our results compare favorably with those of Mamdani's method.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515201","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}
Pub Date : 1996-12-11DOI: 10.1109/AFSS.1996.583587
Y.T. Roan, J.R. Horng, T.C. Hsiao
Chinese medicine has existed for thousands of year, and it plays an important role in today's medical world. There are many diseases which can be cured much more efficiently with Chinese medicine or combination of Chinese medicine and western medicine than using pure western medicine. However, it takes time to decoct Chinese drugs and, time is money. In modern society, therefore automatic Chinese drugs decocting machines are invented. The machines now available use a censor to predetermine the amount of drugs and do not take the features and water absorbability of raw herbs material into consideration. The accuracy of the amount of the decocted drugs and its efficiency is somewhat limited. Therefore, those automatic drugs decocting machines can only be called as "fixed amount of drugs boilers". To improve the efficiency of traditional Chinese herb medicine prepared with auto-machine, a "Fuzzy Chinese Drugs Decocting Machine" is presented in this paper. It considers not only the features of raw material but can also control the temperature of decocting and the amount of drugs. The entire boiling process and the efficiency of resulting medicine, is almost the same as it were decocted by ancient process.
{"title":"The design of fuzzy Chinese drugs decocting machine","authors":"Y.T. Roan, J.R. Horng, T.C. Hsiao","doi":"10.1109/AFSS.1996.583587","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583587","url":null,"abstract":"Chinese medicine has existed for thousands of year, and it plays an important role in today's medical world. There are many diseases which can be cured much more efficiently with Chinese medicine or combination of Chinese medicine and western medicine than using pure western medicine. However, it takes time to decoct Chinese drugs and, time is money. In modern society, therefore automatic Chinese drugs decocting machines are invented. The machines now available use a censor to predetermine the amount of drugs and do not take the features and water absorbability of raw herbs material into consideration. The accuracy of the amount of the decocted drugs and its efficiency is somewhat limited. Therefore, those automatic drugs decocting machines can only be called as \"fixed amount of drugs boilers\". To improve the efficiency of traditional Chinese herb medicine prepared with auto-machine, a \"Fuzzy Chinese Drugs Decocting Machine\" is presented in this paper. It considers not only the features of raw material but can also control the temperature of decocting and the amount of drugs. The entire boiling process and the efficiency of resulting medicine, is almost the same as it were decocted by ancient process.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125762982","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}
Pub Date : 1900-01-01DOI: 10.1109/AFSS.1996.583670
M. Nakatsuyama, M. Nomura, T. Sato
The authors define the performance of the additive color mixture and subtractive color mixture from the viewpoint of fuzzy sets and present an idea about the conversion between the additive color mixture and subtractive color mixture. They show some original images and copied images by using color copies and an approximate expression of the difference of color.
{"title":"Formal expression of fuzzy color quality","authors":"M. Nakatsuyama, M. Nomura, T. Sato","doi":"10.1109/AFSS.1996.583670","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583670","url":null,"abstract":"The authors define the performance of the additive color mixture and subtractive color mixture from the viewpoint of fuzzy sets and present an idea about the conversion between the additive color mixture and subtractive color mixture. They show some original images and copied images by using color copies and an approximate expression of the difference of color.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372844","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}
Pub Date : 1900-01-01DOI: 10.1109/AFSS.1996.583653
A. Ramer, Chien-Chung Wang
We propose a design based on extending the notion of a fuzzy set to a fuzzy multiset. As the concept of fuzzy set is itself a generalization of a standard set notion, any further generalization should be carefully motivated. We concentrate on two reasons, the first one being the continuity of the fuzzy arithmetic, the other a virtual necessity for the otherwise elaborate structures in approximating continuous fuzzy sets by the finite ones.
{"title":"Fuzzy multisets","authors":"A. Ramer, Chien-Chung Wang","doi":"10.1109/AFSS.1996.583653","DOIUrl":"https://doi.org/10.1109/AFSS.1996.583653","url":null,"abstract":"We propose a design based on extending the notion of a fuzzy set to a fuzzy multiset. As the concept of fuzzy set is itself a generalization of a standard set notion, any further generalization should be carefully motivated. We concentrate on two reasons, the first one being the continuity of the fuzzy arithmetic, the other a virtual necessity for the otherwise elaborate structures in approximating continuous fuzzy sets by the finite ones.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060458","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}
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