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

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A note on g/sub /spl lambda//-independent events 关于g/sub /spl lambda//独立事件的说明
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409675
Zhang Qiang
{"title":"A note on g/sub /spl lambda//-independent events","authors":"Zhang Qiang","doi":"10.1109/FUZZY.1995.409675","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409675","url":null,"abstract":"In this paper we discuss the relationships between g/sub /spl lambda//-measures, superadditive (subadditive) measures and belief (plausibility) functions, respectively. In addition, some results with respect to g/sub /spl lambda//-independent events, such as the Kolmogorov zero-one law, the Borel zero-one criterion and Borel-Cantelli's lemma with respect to g/sub /spl lambda//-measures etc., are established.<<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":"123142541","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: 5
Hierarchical imprecise design with weights 分级不精确的权重设计
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409707
W. S. Law, E. Antonsson
{"title":"Hierarchical imprecise design with weights","authors":"W. S. Law, E. Antonsson","doi":"10.1109/FUZZY.1995.409707","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409707","url":null,"abstract":"An extension to the method of imprecision that allows the decomposition or aggregation of imprecise design problems with weighted attributes is presented. The method of imprecision uses the preferences of the designer and customer to define fully sets that quantify the imprecision associated with a design attribute. These fuzzy sets, weighted by relative importance, are combined to produce an overall design measure. This paper introduces aggregation operators that can be hierarchically applied to combine weighted design attributes so that the structure of the design problem is appropriately modeled.<<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":"124283573","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
Retrieval system to generate facial expressions using chaos 利用混沌生成面部表情的检索系统
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409876
T. Sato, P. Ushida, T. Yamaguchi
{"title":"Retrieval system to generate facial expressions using chaos","authors":"T. Sato, P. Ushida, T. Yamaguchi","doi":"10.1109/FUZZY.1995.409876","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409876","url":null,"abstract":"An image generation method is introduced that provides creativity support for image generation. This method is driven by chaotic dynamics, employing a facial expression model constructed on fuzzy associative memories. User's creativity support regarding expressions is provided by clarifying the image through repetition of the following procedures. First, a user is shown a facial expression candidate by chaotic retrieval from a fuzzy associative memory network. The user then selects an appropriate candidate and changes the external input to the network. Computer simulation results for actual facial expression data show that this method is an effective creativity support. A leaning method is also described, in which facial expressions obtained from creativity support are memorized in the facial expression model.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"67 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":"127133918","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
Management of complex attributes with fuzzy values in databases 数据库中具有模糊值的复杂属性管理
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409765
Pascal Subtil, N. Mouaddib, O. Foucaut
{"title":"Management of complex attributes with fuzzy values in databases","authors":"Pascal Subtil, N. Mouaddib, O. Foucaut","doi":"10.1109/FUZZY.1995.409765","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409765","url":null,"abstract":"In the present work we attempt to extension an object oriented data model to: 1) describe fuzzy objects with a new attribute type which we call a fuzzy complex attribute, where a complex attribute can be either calculated (i.e., its value is calculated from values of other attributes) or aggregated (i.e., it is composed by a set of attributes) and all the manipulated values can be fuzzy; 2) extend the retrieval process with the new attribute type in order to allow more flexibility in queries. The approach we propose is illustrated by a real example in human resources management.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"40 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":"127366800","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
Multistage control of a fuzzy system using a genetic algorithm 基于遗传算法的模糊系统多阶段控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409818
J. Kacprzyk
{"title":"Multistage control of a fuzzy system using a genetic algorithm","authors":"J. Kacprzyk","doi":"10.1109/FUZZY.1995.409818","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409818","url":null,"abstract":"We consider multistage control of a fuzzy system, given by a fuzzy state transition equation, under fuzzy constraints and fuzzy goals. First, we briefly survey previous basic solution methods of dynamic programming and branch-and-bound, which basically require some \"trickery\", and are plagued by low numerical efficiency, and then sketch Kacprzyk's (1993) approach based on possibilistic interpolative reasoning aimed at enhancing the numerical efficiency but requiring a solution of a simplified auxiliary problem, and then some \"readjusting\" of the solution obtained. Then, we propose the use of a genetic algorithm. The real coding and specially defined operations of crossover, mutation, etc. are employed. The results obtained seem to be promising.<<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":"125811697","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: 16
Search with fuzzy numbers 模糊数搜索
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409800
A. Junghanns, C. Posthoff, M. Schlosser
{"title":"Search with fuzzy numbers","authors":"A. Junghanns, C. Posthoff, M. Schlosser","doi":"10.1109/FUZZY.1995.409800","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409800","url":null,"abstract":"The application of knowledge which can be considered only incompletely and imprecisely and the combination of this knowledge by means of evaluation functions results in uncertain values. In many search algorithms, this uncertainty simply is ignored by using only the resulting (crisp) value. It is assumed that the consideration of this uncertainty in search algorithms will give better results. The paper presents methods and an application which allow one to represent and to process uncertainty and imprecision. A new application of fuzzy numbers in relation to search algorithms and heuristics is proposed. The evaluation functions do not supply a simple crisp value, but a fuzzy number representing the uncertainty of the evaluation of the problem state. The consequences of applying fuzzy numbers for search algorithms are discussed (a new back-up paradigm, new priority relations between alternative possibilities evaluated by fuzzy numbers). First results and experiences in using this search algorithm in a chess program are finally given.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"41 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":"125524364","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: 7
Tether control using fuzzy reinforcement learning 使用模糊强化学习的缆绳控制
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409852
H. Berenji, A. Malkani, C. Copeland
{"title":"Tether control using fuzzy reinforcement learning","authors":"H. Berenji, A. Malkani, C. Copeland","doi":"10.1109/FUZZY.1995.409852","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409852","url":null,"abstract":"A fuzzy reinforcement learning architecture called GARIC is used to develop a controller for tether control on board the Space Shuttle. The primary objectives were to deploy the Italian satellite weighing 525 kg to a distance of 20 km above the Space Shuttle by means of a conducting tether, to acquire necessary scientific and operational data, and to retrieve the satellite to the shuttle for reuse. Learning experiments were performed during deployment phase where GARIC learned to maintain a tighter dead-band in a small number of trials. The performance of this controller is compared with a controller which uses conventional control theory, and a non-adaptive fuzzy controller. Our results, which were obtained with the Orbital Operations Simulator (OOS) system, demonstrate that more difficult tasks can be learned by a controller based on fuzzy reinforcement learning.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"508 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":"115342385","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: 7
Similarity measures for image databases 图像数据库的相似性度量
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409843
R. Jain, S. Murthy, L. Tran, S. Chatterjee
{"title":"Similarity measures for image databases","authors":"R. Jain, S. Murthy, L. Tran, S. Chatterjee","doi":"10.1109/FUZZY.1995.409843","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409843","url":null,"abstract":"Similarity between images is used for storage and retrieval in image databases. In the literature, several similarity measures have been proposed that may be broadly categorized as: (1) metric based, (2) set-theoretic based, and (3) decision-theoretic based measures. In each category, measures based on crisp logic as well as fuzzy logic are available, In some applications such as image databases, measures based on fuzzy logic would appear to be naturally better suited, although so far no comprehensive experimental study has been undertaken. In this paper, we report results of some of the experiments designed to compare various similarity measures for application to image databases. We are currently working with texture images and intend to work with face images in the near future. As a first step for comparison, the similarity matrices for each of the similarity measure is computed over a set of selected textures and are presented as visual images. Comparative analysis of these images reveals the relative characteristics of each of these measures. Further experiments are needed to study their sensitivity to small changes in images such as illumination, magnification, orientation etc. We describe these experiments (sensitivity analysis, transition analysis etc.) that are currently in progress.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"286 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":"114257804","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: 114
PC networked inference for handwritten letter recognition 手写体字母识别的PC网络推理
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409827
M. Kitazawa, Y. Sakai
{"title":"PC networked inference for handwritten letter recognition","authors":"M. Kitazawa, Y. Sakai","doi":"10.1109/FUZZY.1995.409827","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409827","url":null,"abstract":"The authors describe an experience-based system which in principle needs not differentiate figures and letters at least at the early stage of recognition. To differentiate a letter from figures, some context may be useful, which provides knowledge that words are presented in that situation. And if no such information is available, a human applies some other sort of inference in judging whether the specific object is a letter or not. In this paper, a human-like way of letter recognition is discussed as part of the whole recognition system with high rate of correct recognition the authors are developing.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"3 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":"116867538","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
Fuzzy decision tables: extending the classical formalism to enhance intelligent decision making 模糊决策表:扩展经典形式主义，增强智能决策
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409746
Guoqing Chen, J. Vanthienen, G. Wets
{"title":"Fuzzy decision tables: extending the classical formalism to enhance intelligent decision making","authors":"Guoqing Chen, J. Vanthienen, G. Wets","doi":"10.1109/FUZZY.1995.409746","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409746","url":null,"abstract":"In this paper different aspects of the decision table formalism are discussed. First crisp decision tables (DTs) are defined, and the construction and consultation of decision tables are described. Next, fuzzy extensions are made to crisp decision tables in order to deal with imprecision and uncertainty. As a result, with crisp DTs as special cases, a form of fuzzy decision tables (FDTs) is defined which include fuzziness in the conditions as well as in the actions. Consequently, the concept of completeness is introduced in the context of FDTs. Furthermore, fuzzy consultation of decision tables is discussed, which allows decision making with fuzziness based on the matching between fuzzy conditions and the concept of fuzzy logical implication.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"89 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":"128302844","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: 5
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