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

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An approach of system reliability analysis using failure possibility and success possibility 基于故障可能性和成功可能性的系统可靠性分析方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409963
T. Onisawa
{"title":"An approach of system reliability analysis using failure possibility and success possibility","authors":"T. Onisawa","doi":"10.1109/FUZZY.1995.409963","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409963","url":null,"abstract":"The presented approach is based on the following consideration. (1) Linguistic terms are more commensurate with expressions of (un)reliability when we have not enough amount of data to express (un)reliability by numerical terms. (2) Analyst's subjectivity should be incorporated into the system reliability analysis since the subjectivity is found in the analysis. This paper mentions the subjective unreliability measure and the subjective reliability measure and the relationship among them. The relationship reflects analyst's subjectivity well. The approach includes the AND operation and the OR operation of subjective measures, the dependence model, and natural language expressions of system (un)reliability. Especially in the dependence model two kinds of dependences, i.e., failure dependence and success dependence, which are found in machine system and human task, are considered. Finally this paper gives an example of the system reliability analysis in order to show the usefulness and the feasibility of the approach.<<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":"128284618","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: 4
An approach towards linguistic instructions understanding using the concept of flexible linguistic variables 用灵活语言变量的概念来理解语言指令
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409793
A. Bastian
{"title":"An approach towards linguistic instructions understanding using the concept of flexible linguistic variables","authors":"A. Bastian","doi":"10.1109/FUZZY.1995.409793","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409793","url":null,"abstract":"Humans often face situations where they have to perform a very crisp and precise action based on a given linguistic instruction which is essentially imprecise. One might view a linguistic instruction as a set of almost infinite crisp solutions where the receiver finally selects one of those solutions to execute the command. Recently, fuzzy set theory has been proposed to realize a better human-machine interaction. Yet, it is very difficult to embed the perhaps most important ability of human in natural language understanding, namely to interpret a linguistic instruction situation dependent. Based on the recently proposed concept of a flexible linguistic variable by the author (1994), an approach towards situation dependent understanding of linguistic instructions is proposed and demonstrated by a simple simulation experiment.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"17 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":"128105400","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
A neural net topology for bidirectional fuzzy-neuro transformation 一种用于双向模糊神经转换的神经网络拓扑
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409879
W. Hauptmann, K. Heesche
{"title":"A neural net topology for bidirectional fuzzy-neuro transformation","authors":"W. Hauptmann, K. Heesche","doi":"10.1109/FUZZY.1995.409879","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409879","url":null,"abstract":"In this paper, we propose an integrated neuro-fuzzy system (INFS) that facilitates the functional equivalent conversion between fuzzy systems and neural networks thus combining the advantages of both paradigms. The basis for the INFS constitutes a special neural network architecture with a structure corresponding to that of a fuzzy model. In a repeated cycle, knowledge acquired from an expert is converted from a fuzzy system to a neural net which is applied to a target system to learn from the data. After completed adaptation the neural network is translated back into a fuzzy model. First results demonstrate the significant performance with respect to data-driven optimization of fuzzy system components.<<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":"129406930","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: 33
Comparison of two fuzzy set-based logics: similarity logic and possibilistic logic 两种基于模糊集的逻辑:相似逻辑与可能性逻辑的比较
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409838
D. Dubois, H. Prade
{"title":"Comparison of two fuzzy set-based logics: similarity logic and possibilistic logic","authors":"D. Dubois, H. Prade","doi":"10.1109/FUZZY.1995.409838","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409838","url":null,"abstract":"Fuzzy sets can be viewed as a convenient way for expressing a rank-ordering over a set of possible worlds, or equivalently, of possible interpretations. This use can be encountered in two fuzzy set-based logics, with different semantics, developed in the last past years; namely a logic of similarity or closeness introduced by Ruspini (1991), and a logic of preference, called possibilistic logic, previously proposed by the authors. The former accounts for some metrics on possible worlds while the latter distinguishes between more or less plausible interpretations. The basic principles underlying the two logics are restated and a comparative study of their semantics is provided. Links between Ruspini's proposal and the idea of a fuzzy rough set (a rough set based on a fuzzy similarity relation rather than on a crisp equivalence relation) are also emphasized.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"80 2 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":"130719855","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: 15
A neurofuzzy route to breast cancer diagnosis and treatment 乳腺癌诊断和治疗的神经模糊途径
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409752
N. Bridgett, J. Brandt, C. Harris
{"title":"A neurofuzzy route to breast cancer diagnosis and treatment","authors":"N. Bridgett, J. Brandt, C. Harris","doi":"10.1109/FUZZY.1995.409752","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409752","url":null,"abstract":"In this paper an outline is given of a modelling approach, using neurofuzzy networks, to be used in an intelligent oncology workstation for the improved treatment and diagnosis of breast cancer. This neurofuzzy approach is intended to assist in the provision of the most suitable treatment and therapy for the individual patient in this important medical domain and to seek to add to knowledge in this vital area to yield improved diagnostic and treatment techniques. The major component of the system is a high-dimensional approximator neurofuzzy network (Adaptive Spline Modelling of Observation Data or AS-MOD) which is a constructive learning algorithm used to automatically generate high-dimensional approximations and to identify complex relationships between input variables and the measured output to form models which may be interpreted as sets of linguistic fuzzy rules.<<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":"130611956","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: 9
On the condition of adaptive neurofuzzy models 在自适应神经模糊模型的条件下
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409755
M. Brown, P. E. An, C. Harris
{"title":"On the condition of adaptive neurofuzzy models","authors":"M. Brown, P. E. An, C. Harris","doi":"10.1109/FUZZY.1995.409755","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409755","url":null,"abstract":"Learning within fuzzy and neurofuzzy systems is becomingly increasingly important as researchers try to infer qualitative, vague information from quantitative, numeric data. The fuzzy representation of an adaptive neurofuzzy system is important both for initialisation and validation purposes, where a designer needs to interpret the knowledge stored in a network. Therefore it is important to study the convergence and rate of convergence characteristics of the parameters in a neurofuzzy model and investigate how this depends on the system's structure. This paper considers how the condition of the input fuzzy sets determines the convergence and generalisation abilities of the network and describes several new results about instantaneous least mean square training rules.<<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":"129948371","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
Fuzzy intelligent hybrid systems and their applications 模糊智能混合系统及其应用
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409996
A. Kandel, M. Schneider
{"title":"Fuzzy intelligent hybrid systems and their applications","authors":"A. Kandel, M. Schneider","doi":"10.1109/FUZZY.1995.409996","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409996","url":null,"abstract":"This paper addresses some of the issues involved in developing a technology that supports the implementation of an autonomous fuzzy hybrid intelligent systems. The technology is based on the premise that integrated solution architectures will be much more effective and highly flexible in their ability to successfully handle a broad base of applications with a wider scope of problem variations. Hybrid systems in artificial intelligence represent a new field of research that deals with the synergism of expert systems and neural network technologies. The integration of the computational paradigms of these two highly complementary knowledge representation techniques is imperative to the process of developing effective robust intelligent systems for a large number of important applications.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"46 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":"130280576","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: 4
High dimensional neurofuzzy systems: overcoming the curse of dimensionality 高维神经模糊系统:克服维度的诅咒
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409976
Martin Brown, K. Bossley, D. Mills, Chris J. Harris
{"title":"High dimensional neurofuzzy systems: overcoming the curse of dimensionality","authors":"Martin Brown, K. Bossley, D. Mills, Chris J. Harris","doi":"10.1109/FUZZY.1995.409976","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409976","url":null,"abstract":"Many researchers do not appreciate the problems in building high-dimensional fuzzy models or control surfaces, yet this task has occupied researchers in several fields for the past thirty years. The problems occur due to the lack of both available training data and the required computational resources necessary for building and calculating the response of the model. This paper outlines several techniques for partially overcoming the curse of dimensionality associated with high-dimensional data modelling problems and compares and contrasts them with several algorithms developed in the statistical community. The work is intended to outline both conventional concepts which can be usefully applied in neurofuzzy models and new developments in this field.<<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":"128970276","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: 83
On the mutual definability of fuzzy equivalence relations and fuzzy partitions 模糊等价关系与模糊划分的互定义性
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409861
H. Thiele, N. Schmechel
{"title":"On the mutual definability of fuzzy equivalence relations and fuzzy partitions","authors":"H. Thiele, N. Schmechel","doi":"10.1109/FUZZY.1995.409861","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409861","url":null,"abstract":"This paper deals with the concepts of fuzzy equivalence relations and fuzzy partitions. We define these concepts in such ways that it is possible to construct fuzzy partitions from fuzzy equivalence relations and vice versa. Our definitions have the property that a fuzzy partition /spl Pscr/ constructed from a fuzzy equivalence relation which itself was constructed from a fuzzy partition /spl Pscr/' is equal to /spl Pscr/'. The same property can be proved if the process of construction starts and ends with an equivalence relation. These two properties are called involution properties and are the essential parts of our considerations. We underline that these involution properties are very important though frequently forgotten in publications and textbooks. In this paper we consider two different definitions for transitivity and present the definitions of the corresponding fuzzy partitions.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"97 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":"127493400","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: 28
An acquisition method of implicit knowledge using fuzzy analogy 一种基于模糊类比的隐性知识获取方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409889
A. Inoue, S. Tano, T. Iwatani, W. Okamoto, R. Fujioka
{"title":"An acquisition method of implicit knowledge using fuzzy analogy","authors":"A. Inoue, S. Tano, T. Iwatani, W. Okamoto, R. Fujioka","doi":"10.1109/FUZZY.1995.409889","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409889","url":null,"abstract":"A method to acquire implicit knowledge among several given cases using fuzzy analogy, called fuzzy analogical learning (FAL), is briefly described. This method is proposed as a learning feature in a natural language communication system, a fuzzy lingual system, which aims to emulate the observational features of human learning and problem solvings based on experiences. Cognitive models of learning and problem solvings for the further study of FAL and a prototype implementation for demonstrating the validity of the method are described as well as a formal description of the computational model.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"38 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":"126751691","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: 4
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