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

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On the non-monotonicity of fuzzy relations 关于模糊关系的非单调性
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409842
S. Cubillo, E. Trillas
{"title":"On the non-monotonicity of fuzzy relations","authors":"S. Cubillo, E. Trillas","doi":"10.1109/FUZZY.1995.409842","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409842","url":null,"abstract":"In any monotonic logic the increase of premises does not lead to erase any conclusion. Nevertheless, this is not the case of common reasoning, in which often one has not all the necessary elements of judgement for obtaining totally valid conclusions. Frequently, one makes inferences with the available information, obtaining plausible results until new data force one to cancel them. This way, while in classic inference the basic concept is \"truth\", in the inference of common sense it should be \"admissibility until new command\". The giving up of the monotonicity leads to consider weaker properties getting some different kinds of nonmonotonic logics, according to the desirable properties at each framework. This paper presents a definition of weak monotonicity, and some characterizations through logical states are obtained. The authors' previous characterization of T-preorders is reached in a more general way. In particular, both the finite and the classical cases are studied. The last section is devoted to restricted monotonicity.<<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":"121388584","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: 2
Hierarchical decomposition theorems for Choquet integral models Choquet积分模型的层次分解定理
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409992
M. Sugeno, K. Fujimoto, T. Murofushi
{"title":"Hierarchical decomposition theorems for Choquet integral models","authors":"M. Sugeno, K. Fujimoto, T. Murofushi","doi":"10.1109/FUZZY.1995.409992","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409992","url":null,"abstract":"In this paper, we give two necessary and sufficient conditions for a Choquet integral model to be decomposable into two equivalent hierarchical Choquet integral models constructed by hierarchical combinations of some ordinary Choquet integral models. These conditions are obtained by inclusion-exclusion covering (IEC). Moreover, we show some properties on the set of IECs.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"91 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":"124427883","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: 12
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
A genetics-based approach to fuzzy clustering 基于遗传学的模糊聚类方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409990
Jianzhuang Liu, Weixing Xie
{"title":"A genetics-based approach to fuzzy clustering","authors":"Jianzhuang Liu, Weixing Xie","doi":"10.1109/FUZZY.1995.409990","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409990","url":null,"abstract":"The traditional fuzzy objective-function-based clustering algorithms, the fuzzy c-means (FCM) algorithm and the FCM-type algorithms, are in essence local search techniques that search for the optimum by using a hill-climbing technique. Thus, they often fail in the search for global optimum. In this paper, we combine the genetic algorithms with traditional clustering algorithms to obtain a better clustering performance. Our experimental results show that the proposed genetic-based clustering algorithms have much higher probabilities of finding the global or near-global optimal solutions than the traditional algorithms.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"23 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":"133580818","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: 32
Fuzzy inference based on a weighted average of fuzzy sets and its learning algorithm for fuzzy exemplars 基于模糊集加权平均的模糊推理及其模糊样本的学习算法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409993
K. Uehara
{"title":"Fuzzy inference based on a weighted average of fuzzy sets and its learning algorithm for fuzzy exemplars","authors":"K. Uehara","doi":"10.1109/FUZZY.1995.409993","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409993","url":null,"abstract":"This paper proposes a fuzzy inference method based on a weighted average of fuzzy sets. This method has the property of always obtaining the inference consequence in the form of convex fuzzy sets as long as the then-parts of conditional propositions are defined with normal and convex fuzzy sets. This property is quite useful in introducing learning functions to a fuzzy inference scheme, in particular, when fuzzy-input/fuzzy-output pairs are given by convex fuzzy sets as its exemplar patterns. Moreover, the proposed method can clarify the maximum value of the fuzziness in the inference consequences in advance of its inference operations. In multistage-parallel fuzzy-inference form, it can solve the problem of increasing the fuzziness of the inference consequences in every stage, which possibly results in fuzziness explosion. Reflecting the properties mentioned above, a learning algorithm is derived for multistage-parallel fuzzy-inference with fuzzy exemplar patterns given by convex fuzzy sets.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"15 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":"133680534","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: 14
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
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
Applications of fuzzy average to curve and surface fitting 模糊平均在曲线曲面拟合中的应用
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409799
Lun Gao, H. Kawarada
{"title":"Applications of fuzzy average to curve and surface fitting","authors":"Lun Gao, H. Kawarada","doi":"10.1109/FUZZY.1995.409799","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409799","url":null,"abstract":"In this paper, a new concept of the fuzzy average is proposed, and a method (fuzzy optimization method, FOM) to fit curves and surfaces by means of the fuzzy average is investigated. The relation between the fuzzy average and the corresponding arithmetic mean is shown. Moreover, it is shown that the FOM is also suited for parallel processing, because the modification of elements of an approximate vector is calculated separately. Finally, some numerical experiments by using the FOM and other methods are presented, respectively.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"16 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":"117012228","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
Reinforcement learning for ART-based fuzzy adaptive learning control networks 基于art的模糊自适应学习控制网络的强化学习
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409850
Cheng‐Jian Lin, Chin-Teng Lin
{"title":"Reinforcement learning for ART-based fuzzy adaptive learning control networks","authors":"Cheng‐Jian Lin, Chin-Teng Lin","doi":"10.1109/FUZZY.1995.409850","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409850","url":null,"abstract":"This paper proposes a reinforcement fuzzy adaptive learning control network (RFALCON) for solving various reinforcement learning problems. The proposed RFALCON is constructed by integrating two fuzzy adaptive learning control networks (FALCON), each of which is a connectionist model with a feedforward multilayered network developed for the realization of a fuzzy logic controller. An online structure/parameter learning algorithm, called RFALCON-ART, is proposed for constructing the RFALCON dynamically. The proposed RFALCON also preserves the advantages of the original FALCON, such as the ability to do online partition the input/output spaces, tune membership functions, and find proper fuzzy logic rules. In its initial form, there is no membership function, fuzzy partition, and fuzzy logic rule. They are created and begin to grow as the first reinforcement signal arrives. The users thus need not give it any a priori knowledge or even any initial information on these.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"80 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":"132830103","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
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