Pub Date : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226809
X. Fang, B. Kellog, T. Conlan, J. Dickerson
Genetic algorithms (GA) can be used to design complex multi-objective systems. The fitness function in the GA was designed using fuzzy multi-objective integer programming to capture fuzzy design goals such as driver comfort and quick stopping ability. The effectiveness of methods is demonstrated by a brake control design example.
{"title":"Fuzzy multi-objective fitness functions for dynamical system optimization","authors":"X. Fang, B. Kellog, T. Conlan, J. Dickerson","doi":"10.1109/NAFIPS.2003.1226809","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226809","url":null,"abstract":"Genetic algorithms (GA) can be used to design complex multi-objective systems. The fitness function in the GA was designed using fuzzy multi-objective integer programming to capture fuzzy design goals such as driver comfort and quick stopping ability. The effectiveness of methods is demonstrated by a brake control design example.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116374634","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226757
M. J. Wierman
A very general model of a system representing information is presented. Under the assumptions that this model applies to product spaces and that information is not lost in the expansion to these product spaces we conclude that a semiring is the proper model for the algebra involved. Some indication of the nature of the information measures appropriate to the semiring are presented.
{"title":"Additivity, noninteraction, and semirings","authors":"M. J. Wierman","doi":"10.1109/NAFIPS.2003.1226757","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226757","url":null,"abstract":"A very general model of a system representing information is presented. Under the assumptions that this model applies to product spaces and that information is not lost in the expansion to these product spaces we conclude that a semiring is the proper model for the algebra involved. Some indication of the nature of the information measures appropriate to the semiring are presented.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716681","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226796
Xiong Feng-lan, Ding Xiangqian, Yuhai Liu
In this paper, we propose the definition of fuzzy rough approximation decomposability, discuss the properties of several fuzzy rough approximations and give several decision theorems for fuzzy rough approximation decomposability.
{"title":"The fuzzy rough approximation decomposability","authors":"Xiong Feng-lan, Ding Xiangqian, Yuhai Liu","doi":"10.1109/NAFIPS.2003.1226796","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226796","url":null,"abstract":"In this paper, we propose the definition of fuzzy rough approximation decomposability, discuss the properties of several fuzzy rough approximations and give several decision theorems for fuzzy rough approximation decomposability.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115574199","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226762
Joao Paulo Carvalho, J. Tomé
Rule Based Fuzzy Systems with Feedback suffer from the problem of an uncontrolled spread in uncertainty representation due to the intrinsic characteristics of classical fuzzy inference that not even type-2 uncertainty representation can address. This paper proposes a simple solution that allows type-1 uncertainty representation in this systems.
{"title":"Interpolated linguistic terms: uncertainty representation in Feedback Rule Based Fuzzy Systems","authors":"Joao Paulo Carvalho, J. Tomé","doi":"10.1109/NAFIPS.2003.1226762","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226762","url":null,"abstract":"Rule Based Fuzzy Systems with Feedback suffer from the problem of an uncontrolled spread in uncertainty representation due to the intrinsic characteristics of classical fuzzy inference that not even type-2 uncertainty representation can address. This paper proposes a simple solution that allows type-1 uncertainty representation in this systems.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126635123","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226784
C.C. Duros
Large pharmaceutical trials are now underway to assess the effectiveness of cholinesterase drugs in slowing the cognitive decline in vascular dementia. Current trials use probability based statistics in which mean values of cognitive measures are compared between treatment and placebo groups. Several limitations exist in traditional drug study designs that impact patient selection criteria, preclude identification of potentially high efficacy subpopulations, and constrain the applicability of study results in treating the individual. We propose that fuzzy logic based mathematical methods can augment conventional methods of data analysis in pharmaceutical trials to overcome existing limitations and provide more effective treatment algorithms in drug therapy. To illustrate this possibility, we intend to analyze data from a group of patients with vascular dementia given cholinesterase drug therapy using both fuzzy and probability based methods.
{"title":"Fuzzy analysis of pharmaceutical effects in vascular dementia","authors":"C.C. Duros","doi":"10.1109/NAFIPS.2003.1226784","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226784","url":null,"abstract":"Large pharmaceutical trials are now underway to assess the effectiveness of cholinesterase drugs in slowing the cognitive decline in vascular dementia. Current trials use probability based statistics in which mean values of cognitive measures are compared between treatment and placebo groups. Several limitations exist in traditional drug study designs that impact patient selection criteria, preclude identification of potentially high efficacy subpopulations, and constrain the applicability of study results in treating the individual. We propose that fuzzy logic based mathematical methods can augment conventional methods of data analysis in pharmaceutical trials to overcome existing limitations and provide more effective treatment algorithms in drug therapy. To illustrate this possibility, we intend to analyze data from a group of patients with vascular dementia given cholinesterase drug therapy using both fuzzy and probability based methods.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121808729","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226815
Junxiang Zhang
Due to the complexity of the earthquake systems, it is impossible to produce any acceptable earthquake risk map. This paper suggests a fuzzy approach for reforming earthquake map by the integration of fuzzy set theory, risk analysis and geographical information system(GIS) technology. The implications of the incorporation of fuzzy set methodologies into earthquake map for GIS application are twofold: first, the interior-outer-set model is introduced to calculate fuzzy probabilities of earthquakes for showing the imprecision of the probabilities from incomplete data; and second, graphical ways to express the outcomes of the calculation is provided to show how fuzzy set methodologies may be incorporated into GIS technologies. In addition, examples are given to demonstrate the method. The map using the fuzzy probabilities is called soft risk map. It is shown that soft risk maps are capable of providing more reliable information than traditional earthquake maps for rationally regulating decision-makings.
{"title":"A fuzzy approach for reforming earthquake map","authors":"Junxiang Zhang","doi":"10.1109/NAFIPS.2003.1226815","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226815","url":null,"abstract":"Due to the complexity of the earthquake systems, it is impossible to produce any acceptable earthquake risk map. This paper suggests a fuzzy approach for reforming earthquake map by the integration of fuzzy set theory, risk analysis and geographical information system(GIS) technology. The implications of the incorporation of fuzzy set methodologies into earthquake map for GIS application are twofold: first, the interior-outer-set model is introduced to calculate fuzzy probabilities of earthquakes for showing the imprecision of the probabilities from incomplete data; and second, graphical ways to express the outcomes of the calculation is provided to show how fuzzy set methodologies may be incorporated into GIS technologies. In addition, examples are given to demonstrate the method. The map using the fuzzy probabilities is called soft risk map. It is shown that soft risk maps are capable of providing more reliable information than traditional earthquake maps for rationally regulating decision-makings.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122792130","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226770
P. Sobrevilla, E. Lerma, E. Montseny
Automatic Cell Screening Systems-ACSS-are in progress in several areas. Although the systems actually in use make the screening more expensive than the conventional cervical screening, the development of new systems in the near future, cheaper and faster, will promote the utilization of ACSS to make easier cell cytology. We present an efficient and fast Fuzzy-based Automatic Pap Screening Systems-FAPSS-algorithm, that can be useful for future ACSS. The algorithm detects areas of the smear wherein the cells are located. Identification of the best areas for screening provides the importance degree for evaluation of each field. The results obtained by the proposed algorithm have a high concordance degree with the cytotechnologist evaluation.
{"title":"An approach to a Fuzzy-based Automatic Pap Screening System-FAPSS-addressed to cytology cells detection","authors":"P. Sobrevilla, E. Lerma, E. Montseny","doi":"10.1109/NAFIPS.2003.1226770","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226770","url":null,"abstract":"Automatic Cell Screening Systems-ACSS-are in progress in several areas. Although the systems actually in use make the screening more expensive than the conventional cervical screening, the development of new systems in the near future, cheaper and faster, will promote the utilization of ACSS to make easier cell cytology. We present an efficient and fast Fuzzy-based Automatic Pap Screening Systems-FAPSS-algorithm, that can be useful for future ACSS. The algorithm detects areas of the smear wherein the cells are located. Identification of the best areas for screening provides the importance degree for evaluation of each field. The results obtained by the proposed algorithm have a high concordance degree with the cytotechnologist evaluation.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126486322","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226763
T. Sudkamp, R. Hammell
This paper examines the discovery of associations defined by fuzzy temporal predicates in time-tagged information from multiple distributed data sources. The use of fuzzy predicates provides the ability to represent and analyze imprecise temporal relation-ships, including temporal ordering and duration. In particular, we are concerned with the adaptability of common data mining strategies to relations defined by fuzzy temporal predicates.
{"title":"Discovering imprecise temporal associations","authors":"T. Sudkamp, R. Hammell","doi":"10.1109/NAFIPS.2003.1226763","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226763","url":null,"abstract":"This paper examines the discovery of associations defined by fuzzy temporal predicates in time-tagged information from multiple distributed data sources. The use of fuzzy predicates provides the ability to represent and analyze imprecise temporal relation-ships, including temporal ordering and duration. In particular, we are concerned with the adaptability of common data mining strategies to relations defined by fuzzy temporal predicates.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375593","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226838
A. Inoue
A simple intrusion detection system (IDS) with respect to perception of human experts is proposed. Its computational framework is designed based on concepts of computational theory of perceptions (CTP) and mass assignment theory (MAT). CTP provides a computational framework of representing and handling perception using linguistic terms and corresponding fuzzy sets. MAT provides that of representing and handling a bias consisting in between perception and observed intrusions through the consistency management between fuzzy sets and probability distributions. For the knowledge construction of this IDS, only linguistic descriptions extracted from organization policies and perception of human experts is expected. For the inference and refinement of knowledge, support logic, a truth functional logic for manipulating probability intervals, is used.
{"title":"Perceptual intrusion detection system","authors":"A. Inoue","doi":"10.1109/NAFIPS.2003.1226838","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226838","url":null,"abstract":"A simple intrusion detection system (IDS) with respect to perception of human experts is proposed. Its computational framework is designed based on concepts of computational theory of perceptions (CTP) and mass assignment theory (MAT). CTP provides a computational framework of representing and handling perception using linguistic terms and corresponding fuzzy sets. MAT provides that of representing and handling a bias consisting in between perception and observed intrusions through the consistency management between fuzzy sets and probability distributions. For the knowledge construction of this IDS, only linguistic descriptions extracted from organization policies and perception of human experts is expected. For the inference and refinement of knowledge, support logic, a truth functional logic for manipulating probability intervals, is used.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129803990","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 : 2003-07-24DOI: 10.1109/NAFIPS.2003.1226831
M. Hanss
A novel approach of inverse fuzzy arithmetic is introduced to successfully identify the uncertain parameters of linear and nonlinear models on the basis of uncertain values for the output variables of the model. The presented method is based on the transformation method, which has been proposed as a powerful tool for the simulation and analysis of systems with uncertain model parameters. A general scheme for the practical implementation of the inverse fuzzy-arithmetical approach is given, and the effectiveness of the method is shown for two examples, which consist of a linear model and a nonlinear model, respectively.
{"title":"An approach to inverse fuzzy arithmetic","authors":"M. Hanss","doi":"10.1109/NAFIPS.2003.1226831","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226831","url":null,"abstract":"A novel approach of inverse fuzzy arithmetic is introduced to successfully identify the uncertain parameters of linear and nonlinear models on the basis of uncertain values for the output variables of the model. The presented method is based on the transformation method, which has been proposed as a powerful tool for the simulation and analysis of systems with uncertain model parameters. A general scheme for the practical implementation of the inverse fuzzy-arithmetical approach is given, and the effectiveness of the method is shown for two examples, which consist of a linear model and a nonlinear model, respectively.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130219312","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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