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International Conference on Fuzzy Systems最新文献

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Hierarchical fuzzy system modeling by Genetic and Bacterial Programming approaches 遗传和细菌规划方法的层次模糊系统建模
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584220
K. Balázs, János Botzheim, L. Kóczy
{"title":"Hierarchical fuzzy system modeling by Genetic and Bacterial Programming approaches","authors":"K. Balázs, János Botzheim, L. Kóczy","doi":"10.1109/FUZZY.2010.5584220","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584220","url":null,"abstract":"In this paper a method is proposed for constructing hierarchical fuzzy rule bases in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The resultant hierarchical rule base is the knowledge base, which is constructed by using structure constructing evolutionary techniques, namely, Genetic and Bacterial Programming Algorithms. Applying hierarchical fuzzy rule bases is a way of reducing the complexity of the knowledge base, whereas evolutionary methods ensure a relatively efficient learning process. This is the reason of the investigation of this combination.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133513820","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
Hedge Algebraic Type-2 Fuzzy Sets 对冲代数2型模糊集
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584108
T. D. Khang, Phan Anh Phong, Dinh Khac Dong, Trang Cao Minh
{"title":"Hedge Algebraic Type-2 Fuzzy Sets","authors":"T. D. Khang, Phan Anh Phong, Dinh Khac Dong, Trang Cao Minh","doi":"10.1109/FUZZY.2010.5584108","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584108","url":null,"abstract":"In this paper, we propose a new class of type-2 fuzzy sets: Hedge Algebraic Type-2 Fuzzy Sets — HaT2FS. The particular feature of HaT2FS is that the membership grades of each element are linguistic truth values of hedge algebras. We consider some important aspects of this class of type-2 fuzzy sets: operations on linguistic truth values including linguistic aggregation, meet and join; HaT2FSs representation by hedge union of k-level embedded HaT2FSs; and intersection, union and complement operations on HaT2FSs.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133607023","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
Intelligent content retrieval using a visual vocabulary and geometric constraints 使用视觉词汇表和几何约束的智能内容检索
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584000
E. Spyrou, Yannis Kalantidis, Giorgos Tolias, Phivos Mylonas, S. Kollias
{"title":"Intelligent content retrieval using a visual vocabulary and geometric constraints","authors":"E. Spyrou, Yannis Kalantidis, Giorgos Tolias, Phivos Mylonas, S. Kollias","doi":"10.1109/FUZZY.2010.5584000","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584000","url":null,"abstract":"During the last decades multimedia processing has emerged as an important technology to retrieve content based on similar data. Moreover, recent developments in the fields of high definition (HD) multimedia content and personal content collections (personal camcorders and digital still image cameras) tend to generate a huge volume of multimedia data everyday. Thus, the need for a meaningful, quick organization and access to generated content is now more than necessary; however, it still remains a rather difficult problem to be tackled both by humans and computers. In this paper we propose an intelligent extension of traditional image analysis methodologies towards more efficient digital content retrieval. The main idea is to extend local feature extraction methodologies by introducing additional geometrical constraints in the process. The proposed approach is tested and evaluated on a number of publicly available image datasets and results are very promising.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623203","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
Dynamic fuzzy c-means (dFCM) clustering for continuously varying data environments 连续变化数据环境下的动态模糊c均值聚类
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584333
R. P. Sandhir, Satish Kumar
{"title":"Dynamic fuzzy c-means (dFCM) clustering for continuously varying data environments","authors":"R. P. Sandhir, Satish Kumar","doi":"10.1109/FUZZY.2010.5584333","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584333","url":null,"abstract":"Many real world applications require online analysis of streaming data, making an adaptive clustering technique desirable. Most adaptive variations of available clustering techniques are application-specific, and do not apply to the applications of clustering as a whole. With this in mind, a generalized algorithm is proposed which is a modification of the fuzzy c-means clustering technique, so that dynamic data environments in differing fields can be addressed and analyzed. We demonstrate the capabilities of the dynamic fuzzy c-means (dFCM) algorithm with the aid of synthetic data sets, and discuss a possible application of the dFCM algorithm in associative memories, through preliminary experiments.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"41 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224697","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
Approximating fuzzy preorders and equivalences. A similarity based approach 模糊预定和等价的逼近。基于相似性的方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584180
D. Boixader, J. Recasens
{"title":"Approximating fuzzy preorders and equivalences. A similarity based approach","authors":"D. Boixader, J. Recasens","doi":"10.1109/FUZZY.2010.5584180","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584180","url":null,"abstract":"Although Fuzzy Preorders and Fuzzy Equivalences are intended to model vague concepts, they are defined in terms of properties or axioms to be fulfilled in a crisp way. In this paper we present two different approaches to overcome this problem (the axiomatic and the similarity based approaches) and relate them both. New results concerning the similarity between relational structures are obtained. As a consequence, every arbitrary fuzzy relation will be considered to be a fuzzy preorder or a fuzzy equivalence, at least to some extent.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804855","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: 3
General type-2 FLS with uncertainty generated by fuzzy rough sets 模糊粗糙集产生不确定性的一般2型FLS
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584238
Janusz T. Starczewski
{"title":"General type-2 FLS with uncertainty generated by fuzzy rough sets","authors":"Janusz T. Starczewski","doi":"10.1109/FUZZY.2010.5584238","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584238","url":null,"abstract":"In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115499325","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: 11
Efficient algorithms for computing a class of subsethood and similarity measures for interval type-2 fuzzy sets 区间2型模糊集的一类子集和相似测度的高效算法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584484
Dongrui Wu, J. Mendel
{"title":"Efficient algorithms for computing a class of subsethood and similarity measures for interval type-2 fuzzy sets","authors":"Dongrui Wu, J. Mendel","doi":"10.1109/FUZZY.2010.5584484","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584484","url":null,"abstract":"Subsethood and similarity measures are important concepts in fuzzy set (FS) theory. There are many different definitions of them, for both type-1 (T1) FSs and interval type-2 (IT2) FSs. In this paper, Rickard et al.'s definition of IT2 FS subsethood measure, extended from Kosko's T1 FS subsethood measure using the Representation Theorem, and Nguyen and Kreinovich's IT2 FS similarity measure, extended from the Jaccard similarity measure for T1 FSs, are introduced. Efficient algorithms for computing them are also proposed. Simulations demonstrate that our proposed algorithms outperform existing algorithms in the literature.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115554895","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
Automated fuzzy logic based skull stripping in neonatal and infantile MR images 新生儿和婴儿MR图像中基于自动模糊逻辑的颅骨剥离
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584839
Kosuke Yamaguchi, Y. Fujimoto, Syoji Kobashi, Yuki Wakata, R. Ishikura, Kei Kuramoto, S. Imawaki, S. Hirota, Y. Hata, S. Yoshiya
{"title":"Automated fuzzy logic based skull stripping in neonatal and infantile MR images","authors":"Kosuke Yamaguchi, Y. Fujimoto, Syoji Kobashi, Yuki Wakata, R. Ishikura, Kei Kuramoto, S. Imawaki, S. Hirota, Y. Hata, S. Yoshiya","doi":"10.1109/FUZZY.2010.5584839","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584839","url":null,"abstract":"Automated morphometric analysis using human brain magnetic resonance (MR) images is an effective approach to investigate the morphological changes of the brain. However, even though many methods for adult brain have been studied, there are few studies for infantile brain. Same as the adult brain, it is effective to measure cerebral surface and for quantitative diagnosis of neonatal and infantile brain diseases. This article proposes a skull stripping method that can be applied to the neonatal and infantile brain. The proposed method can be applied to both of T1 weighted and T2 weighted MR images. First, the proposed method estimates intensity distribution of white matter, gray matter, cerebrospinal fluid, fat, and others using a priori knowledge based Bayesian classification with Gaussian mixture model. The priori knowledge is embedded by representing them with fuzzy membership functions. Second, the proposed method optimizes the whole brain by using fuzzy active surface model, which evaluates the deforming model with fuzzy rules. The proposed method was applied to 26 neonatal and infantile subjects between −4 weeks and 4 years 1 month old. The results showed that the proposed method stripped skull well from any neonatal and infantile MR images.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114543360","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
Maximum power control of wind energy conversation systems via a T-S fuzzy model-based approach 基于T-S模糊模型的风能交换系统最大功率控制
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584736
Chian-Song Chiu, Teng-Shung Chiang, Ya-Ting Lee
{"title":"Maximum power control of wind energy conversation systems via a T-S fuzzy model-based approach","authors":"Chian-Song Chiu, Teng-Shung Chiang, Ya-Ting Lee","doi":"10.1109/FUZZY.2010.5584736","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584736","url":null,"abstract":"This paper proposes a T-S fuzzy model based maximum power control to enhance the efficiency of the wind power generation systems. To draw the maximum wind energy, a buck converter is applied to adjust the recified output voltage of the permanent-magnet synchronous generator. Based on the T-S fuzzy representation of the system, the fuzzy maximum power point tracking (MPPT) controller is developed to maintain the maximum power voltage. The MPPT control guarantees asymptotic convergence, while control gains can be systematically designed by solving linear matrix inequality (LMI). Furthermore, the robust MPPT is also discussed to cope with varying wind speed and system uncertainty. Satisfactory performance is shown from the numerical simulations.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480449","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
Fuzzy approaches for robust job shop rescheduling 鲁棒作业车间重调度的模糊方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584722
P. Moratori, S. Petrovic, J. Rodríguez
{"title":"Fuzzy approaches for robust job shop rescheduling","authors":"P. Moratori, S. Petrovic, J. Rodríguez","doi":"10.1109/FUZZY.2010.5584722","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584722","url":null,"abstract":"This paper considers a complex real world job shop rescheduling problem, in which jobs with different levels of urgency arrive every day in the shop floor and they need to be integrated in the existent schedule. A fuzzy scheduling system is responsible for inserting idle times on machines in order to produce initial robust schedules; and a rescheduling system which uses match-up approaches accommodates the newly arriving jobs. The main goal is to investigate the performance of this combined system when the arriving jobs are either rush orders or regular ones. Our results and statistical analysis show that a robust initial schedule combined with match-up rescheduling lead to higher quality and more reliable schedules even when jobs with different urgency levels arrive in a dynamic and uncertain shop floor.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117288334","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: 8
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