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International Conference on Fuzzy Systems最新文献

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H∞ control for fuzzy sampled-data systems with discrete and distributed delays 具有离散和分布延迟的模糊采样数据系统的H∞控制
International Conference on Fuzzy Systems Pub Date : 2010-09-23 DOI: 10.1109/FUZZY.2010.5584565
T. Ishihara, J. Yoneyama
{"title":"H∞ control for fuzzy sampled-data systems with discrete and distributed delays","authors":"T. Ishihara, J. Yoneyama","doi":"10.1109/FUZZY.2010.5584565","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584565","url":null,"abstract":"This paper discusses an H∞ sampled-data control design for fuzzy systems with discrete and distributed delays. The size of discrete delay and distributed delay is assumed to be not always the same. The zero-order control input can be represented as a delayed input. Then, the closed-loop system with such an input becomes a system with time-varying delay. Sufficient conditions for the closed-loop system to be stable with satisfying a prescribed H∞ performance index are given in terms of linear matrix inequalities (LMIs). Based on such conditions, we propose a robust H∞ sampled-data control design for an uncertain fuzzy system with discrete and distributed delays. Finally, we extend the result to a robust H∞ sampled-data control design for uncertain fuzzy systems with discrete and distributed delays.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350935","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 fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements 基于欧洲央行声明内容分析的MSCI欧元指数模糊模型
International Conference on Fuzzy Systems Pub Date : 2010-09-23 DOI: 10.1109/FUZZY.2010.5584815
V. Milea, Rui Jorge Almeida, U. Kaymak, F. Frasincar
{"title":"A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements","authors":"V. Milea, Rui Jorge Almeida, U. Kaymak, F. Frasincar","doi":"10.1109/FUZZY.2010.5584815","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584815","url":null,"abstract":"In this paper we investigate whether the MSCI EURO index can be predicted based on the content of European Central Bank (ECB) statements. We propose a new model to retrieve information from free text and transform it into a quantitative output. For this purpose, we first identify all adjectives in an ECB statement by using the Stanford Part-of-Speech Tagger and feed these to the General Inquirer (GI) content analysis tool. From GI we obtain a matrix that provides for each document and for each content category the percentage of words in the document that fall under each category. After normalizing the data, we develop a Takagi-Sugeno (TS) fuzzy model using fuzzy c-means clustering. The TS fuzzy system is used to model the levels of the MSCI EURO index. To determine the performance of the model, we focus on the accuracy of predicting upward or downward movement in the index, and obtain, on average, an accuracy of 66%, that corresponds to an improvement of 16% over a random classifier.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923741","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
Evolving fuzzy linear regression trees 进化模糊线性回归树
International Conference on Fuzzy Systems Pub Date : 2010-09-23 DOI: 10.1109/FUZZY.2010.5583970
A. Lemos, W. Caminhas, F. Gomide
{"title":"Evolving fuzzy linear regression trees","authors":"A. Lemos, W. Caminhas, F. Gomide","doi":"10.1109/FUZZY.2010.5583970","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5583970","url":null,"abstract":"This paper introduces a new approach for evolving fuzzy modeling based on a tree structure. The system is a fuzzy linear regression tree whose topology can be continuously updated using a statistical model selection test. A fuzzy linear regression tree is a fuzzy tree with linear model in each leaf. The evolving linear regression approach is evaluated on a forecasting problem and its performance compared against alternative evolving fuzzy models and classic models with fixed structures. The results suggest that evolving fuzzy regression tree is a promising approach for adaptive system modeling.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130414190","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
Formulating description logic learning as an Inductive Logic Programming task 将描述逻辑学习作为归纳逻辑编程任务
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584417
S. Konstantopoulos, A. Charalambidis
{"title":"Formulating description logic learning as an Inductive Logic Programming task","authors":"S. Konstantopoulos, A. Charalambidis","doi":"10.1109/FUZZY.2010.5584417","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584417","url":null,"abstract":"We describe an Inductive Logic Programming (ILP) approach to learning descriptions in Description Logics (DL) under uncertainty. The approach is based on implementing many-valued DL proofs as propositionalizations of the elementary DL constructs and then providing this implementation as background predicates for ILP. The proposed methodology is tested on a many-valued variation of eastbound-trains and Iris, two well known and studied Machine Learning datasets.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"33 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":"115271090","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
A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier 神经模糊分类器结构学习的模糊互补准则
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584401
N. Mitrakis, S. Moustakidis, Ioannis B. Theocharis
{"title":"A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier","authors":"N. Mitrakis, S. Moustakidis, Ioannis B. Theocharis","doi":"10.1109/FUZZY.2010.5584401","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584401","url":null,"abstract":"In this paper, the use of a Fuzzy Complementary Criterion (FuzCoC) for structure learning of a neuro-fuzzy classifier arranged in layers is proposed. The FuzCoC has been recently proposed as an effective criterion for feature selection. Simulation results in a large number of benchmark problems revealed the capability of this method in selecting small subsets of powerful and complementary features even in high dimensional feature sets. In this paper, the FuzCoC method is used not only to reduce the dimensions of the original feature space, but also to identify complementary generic fuzzy neuron classifiers (FNCs) arranged in layers. The chosen generic classifiers are then combined using a decision fusion operator to construct a descendant FNC at the next layer with enhanced classification capabilities. The proposed structure learning algorithm is a modified version of the Group Method of Data Handling (GMDH) algorithm which incorporates the FuzCoC method simultaneous as a pre-feature selection method and as a method to identify complementary generic classifiers to be combined in the next layer. Simulation results demonstrate the capabilities of the proposed method in building accurate neuro-fuzzy classifiers with reduced computational demands.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"132 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":"115271828","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
Robust smooth sliding type-2 interval fuzzy control for uncertain system 不确定系统的鲁棒光滑滑动2型区间模糊控制
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5583936
M. Manceur, N. Essounbouli, A. Hamzaoui
{"title":"Robust smooth sliding type-2 interval fuzzy control for uncertain system","authors":"M. Manceur, N. Essounbouli, A. Hamzaoui","doi":"10.1109/FUZZY.2010.5583936","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5583936","url":null,"abstract":"A new second order sliding modes type-2 fuzzy controller for nonlinear uncertain perturbed systems is developed in this paper. To overcome the constraint on the knowledge of the system model, local models related to some operating points were used to synthesize a type-2 nominal fuzzy global model. For sliding modes, two adaptive fuzzy type-2 systems have been introduced to generate the two super twisting signals to avoid both the chattering and the constraint on the knowledge of upper bounds disturbances and uncertainties. These adaptive fuzzy type-2 systems are adjusted on-line by two adaptation laws deduced from the stability analysis in Lyapunov sense. Many simulation results for a robot arm actuated by a DC motor are given to illustrate the good tracking performances and the smooth signal control obtained by the proposed approach.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"48 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":"115378668","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
Logic aggregation of suitability maps 适用性映射的逻辑聚合
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584827
J. Dujmovic, David Scheer
{"title":"Logic aggregation of suitability maps","authors":"J. Dujmovic, David Scheer","doi":"10.1109/FUZZY.2010.5584827","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584827","url":null,"abstract":"In this paper we investigate the effects of using LSP logic aggregators in spatially-explicit suitability maps and compare logic aggregation with aggregation based on aggregators that use fixed andness. In particular, we analyze differences between the LSP aggregators and the additive aggregators that are currently predominant in GIS suitability maps. This analysis shows that the LSP logic aggregators are indispensable for correct expression of justifiable requirements of decision makers. We propose a method for evaluation of the suitability of locations with respect to a given distribution of points of interest in an urban area using logic aggregation to create spatially-explicit suitability maps.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"25 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":"114659813","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
Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective 模糊约束下的元胞制造系统调度:成组技术视角
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584234
Bo Xing, Wen-jing Gao, F. Nelwamondo, Kimberly Battle, T. Marwala
{"title":"Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective","authors":"Bo Xing, Wen-jing Gao, F. Nelwamondo, Kimberly Battle, T. Marwala","doi":"10.1109/FUZZY.2010.5584234","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584234","url":null,"abstract":"In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"40 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":"117169043","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
FuzzyCN2: An algorithm for extracting fuzzy classification rule lists FuzzyCN2:一种提取模糊分类规则列表的算法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584192
Pablo Martín-Muñóz, F. J. Moreno-Velo
{"title":"FuzzyCN2: An algorithm for extracting fuzzy classification rule lists","authors":"Pablo Martín-Muñóz, F. J. Moreno-Velo","doi":"10.1109/FUZZY.2010.5584192","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584192","url":null,"abstract":"Most of the algorithms for extracting fuzzy classification rules generate conjunctive antecedents that use all the attributes of the system. Using this kind of antecedents, the number of rules grows exponentially in terms of the number of attributes of the system. This paper presents a new algorithm, FuzzyCN2, for extracting conjunctive fuzzy classification rules. This algorithm is a fuzzy version of the well known CN2 algorithm and produces an ordered list of fuzzy rules. FuzzyCN2 generates antecedents that may not include all the attributes of the system. These antecedents may cover a wide number of instances and, so, the number of extracted rules is smaller. The algorithm introduces the use of linguistic hedges as part of the selectors, thus producing more compact rules and reducing the number of generated rules.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"32 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":"124956153","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
A kind of fuzzy weights representation for inner dependence AHP 一种内依赖层次分析法的模糊权重表示方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584279
Shin-ichi Ohnishi, T. Yamanoi, H. Imai
{"title":"A kind of fuzzy weights representation for inner dependence AHP","authors":"Shin-ichi Ohnishi, T. Yamanoi, H. Imai","doi":"10.1109/FUZZY.2010.5584279","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584279","url":null,"abstract":"The Analytic Hierarchy Process (AHP) was proposed by Saaty T.L. and has been widely used in decision making. Inner dependence method AHP is one technique for the case in which criteria do not have enough independency. However using original AHP or inner dependence method, the data and results often lose their reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting criteria using results from a sensitivity analysis is useful. In this paper, we first present weights of criteria of normal AHP by means of fuzzy sets, then modified fuzzy weights can be calculated. We can also have overall weights of alternatives by employing some assumptions. The results show how inner dependence AHP has fuzziness when the comparison matrix is not sufficiently consistent and each criterion has not enough independency.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"21 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":"115253766","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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