发布求助
文献互助 智能选刊 最新文献

International Conference on Fuzzy Systems最新文献

筛选
英文 中文
Effect of data quality on habitat preference evaluation for Japanese medaka (Oryzias latipes) using a simple genetic fuzzy system 用简单遗传模糊系统评价资料质量对日本稻(Oryzias latipes)生境偏好的影响
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584358
S. Fukuda
{"title":"Effect of data quality on habitat preference evaluation for Japanese medaka (Oryzias latipes) using a simple genetic fuzzy system","authors":"S. Fukuda","doi":"10.1109/FUZZY.2010.5584358","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584358","url":null,"abstract":"This study compared the habitat preference curves (HPCs) and prediction ability of fuzzy habitat preference models (FHPM) for Japanese medaka (Oryzias latipes) so as to clarify the effect of two different types of data: log-transformed fish population density (LOG) and presence-absence (P/A) data. The results differed by the data sets used and types of data, in which LOG-based models were found to be better in calibration, while P/A-based models were better in validation. Each type of data has merits and demerits. Further studies would be needed to improve present models so that same conclusion could be derived in habitat evaluation using either LOG or P/A data.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"38 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":"127044463","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
Time series forecasting using a TSK fuzzy system tuned with simulated annealing 用模拟退火调谐的TSK模糊系统进行时间序列预测
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584523
Majid Almaraashi, R. John, S. Coupland, A. Hopgood
{"title":"Time series forecasting using a TSK fuzzy system tuned with simulated annealing","authors":"Majid Almaraashi, R. John, S. Coupland, A. Hopgood","doi":"10.1109/FUZZY.2010.5584523","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584523","url":null,"abstract":"In this paper, a combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the fuzzy system rules. The results of the proposed method are encouraging indicating that simulated annealing and fuzzy logic are able to combine well in time series prediction.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"13 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":"127194603","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: 25
On two properties of the conditional in fuzzy logic 模糊逻辑中条件的两个性质
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584641
E. Trillas, C. Alsina, I. García-Honrado
{"title":"On two properties of the conditional in fuzzy logic","authors":"E. Trillas, C. Alsina, I. García-Honrado","doi":"10.1109/FUZZY.2010.5584641","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584641","url":null,"abstract":"This paper deals with the classical properties of strengthening the antecedent, and weakening the consequent in fuzzy logic. Namely, it is studied in which algebras of fuzzy sets ([0, 1]X, T, S, N), and with which conditional functions J, these two properties do hold. It should be noticed that the cases in which the first property is not valid are examples of a non-monotonic conditional's behaviour.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"245 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":"127462183","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
Modeling loss aversion and biased self-attribution using a fuzzy aggregation operator 基于模糊聚合算子的损失厌恶和偏差自归因建模
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584899
M. Lovric, U. Kaymak, J. Spronk
{"title":"Modeling loss aversion and biased self-attribution using a fuzzy aggregation operator","authors":"M. Lovric, U. Kaymak, J. Spronk","doi":"10.1109/FUZZY.2010.5584899","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584899","url":null,"abstract":"In this paper we use an agent-based stock market to study how investor performance and market predictions influence investor sentiment and confidence. Investor sentiment is modeled using a generalized average operator, which has been proposed in the fuzzy literature as an index of optimism. Our simulations show the impact of loss aversion on investor optimism, and the emergence of investor overconfidence through biased self-attribution. Computational models of financial markets show potential for studying the dynamics of investor psychology with respect to various market feedbacks, while the fuzzy aggregation operator used provides a convenient way of modeling those psychological effects.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"1 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":"129970878","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
Fuzzy walking and turning tap movement for humanoid soccer robot EFuRIO 仿人足球机器人EFuRIO的模糊行走和旋转动作
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584423
I. A. Sulistijono, One Setiaji, Inzar Salfikar, N. Kubota
{"title":"Fuzzy walking and turning tap movement for humanoid soccer robot EFuRIO","authors":"I. A. Sulistijono, One Setiaji, Inzar Salfikar, N. Kubota","doi":"10.1109/FUZZY.2010.5584423","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584423","url":null,"abstract":"Fast and flexible walking is necessary for hu-manoid robots in the Robocup soccer competition. Instability is one of the major defects in humanoid robots. Recently, various methods on the stability and reliability of humanoid robots have been actively studied. We propose a new fuzzy-logic control scheme that would enable the robot to realize flexible walking or turning with high standard of stability by restricting the step length and inclining the body of robot to an appropriate extent. In this paper, a stabilization algorithm is proposed using the balance condition of the robot, which is measured using accelerometer sensors during standing, walking, and turning movement are estimated from these data. From this information the robot selects the proper motion pattern effectively. In order to generate the proper reaction under various the body of robot situations, a fuzzy algorithm is applied in finding the proper angle of the joint. The performance of the proposed algorithm is verified by walking, turning tap and ball kicking movement experiments on a 18-DOFs humanoid robot, called EFuRIO.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"4 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":"125662177","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 multi-label learning under veristic variables 视觉变量下的模糊多标签学习
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584079
Zoulficar Younes, F. Abdallah, T. Denoeux
{"title":"Fuzzy multi-label learning under veristic variables","authors":"Zoulficar Younes, F. Abdallah, T. Denoeux","doi":"10.1109/FUZZY.2010.5584079","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584079","url":null,"abstract":"Multi-label learning is increasingly required by many applications where instances may belong to several classes at the same time. In this paper, we propose a fuzzy k-nearest neighbor method for multi-label classification using the veristic variable framework. Veristic variables are variables that can assume simultaneously multiple values with different degrees. In multi-label learning, class labels can be considered as veristic variables since each instance can belong simultaneously to more than one class. Several applications on benchmark datasets demonstrate the efficiency of our approach.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"173 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":"126941646","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: 17
Type-2 fuzzy load regulation of a servomechanism with backlash using only motor position measurements 仅使用电机位置测量的带间隙伺服机构的2型模糊负载调节
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584046
N. Cázarez-Castro, L. Aguilar, O. Castillo, J. R. Castro
{"title":"Type-2 fuzzy load regulation of a servomechanism with backlash using only motor position measurements","authors":"N. Cázarez-Castro, L. Aguilar, O. Castillo, J. R. Castro","doi":"10.1109/FUZZY.2010.5584046","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584046","url":null,"abstract":"This paper addresses the analysis and design of an observer in order to ease the difficulty of working with various variables for the design of type-2 fuzzy controllers. In this paper Fuzzy Lyapunov Synthesis, based on the observed system, is extended to the design of type-2 fuzzy logic controllers for nonsmooth mechanical systems. The output regulation problem for a servomechanism with nonlinear backlash is proposed as a case of study. The problem at hand is to design a feedback controller so as to obtain the closed-loop system in which all trajectories are bounded and the load of the driver is regulated to a desired position while also attenuating the influence of external disturbances. The servomotor position is the only measurement available for feedback; the proposed extension is far from trivial because of the nonminimum phase properties of the system.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"1 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":"130541407","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
FPGA implementation of (p)-monotone sum of basic t-norms (p)-单调和基本t-范数的FPGA实现
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584870
P. C. Antonio, I. Batyrshin, I. Rudas, Aleksandra Panova, L. V. Vargas
{"title":"FPGA implementation of (p)-monotone sum of basic t-norms","authors":"P. C. Antonio, I. Batyrshin, I. Rudas, Aleksandra Panova, L. V. Vargas","doi":"10.1109/FUZZY.2010.5584870","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584870","url":null,"abstract":"A method of FPGA implementation of the class of parametric digital conjunctions defined by (p)-monotone sum of basic t-norms is proposed. The paper presents the logical diagrams of parametric digital conjunctions developed by means of VHDL language in Quartus II with ModelSim software of Altera. Parametric digital conjunctions can be used in reconfigurable digital fuzzy systems where the parameter p and a sequence of basic t-norms used in definition of parametric conjunction can be changed.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"1 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":"130556492","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
A new approach to dealing with missing values in data-driven fuzzy modeling 数据驱动模糊建模中缺失值处理的新方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584894
Rui Jorge Almeida, U. Kaymak, J. Sousa
{"title":"A new approach to dealing with missing values in data-driven fuzzy modeling","authors":"Rui Jorge Almeida, U. Kaymak, J. Sousa","doi":"10.1109/FUZZY.2010.5584894","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584894","url":null,"abstract":"Real word data sets often contain many missing elements. Most algorithms that automatically develop a rule-based model are not well suited to deal with incomplete data. The usual technique is to disregard the missing values or substitute them by a best guess estimate, which can bias the results. In this paper we propose a new method for estimating the parameters of a Takagi-Sugeno fuzzy model in the presence of incomplete data. We also propose an inference mechanism that can deal with the incomplete data. The presented method has the added advantage that it does not require imputation or iterative guess-estimate of the missing values. This methodology is applied to fuzzy modeling of a classification and regression problem. The performance of the obtained models are comparable with the results obtained when using a complete data set.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"18 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":"132408642","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: 17
Pattern trees for regression and fuzzy systems modeling 回归和模糊系统建模的模式树
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584231
Robin Senge, E. Hüllermeier
{"title":"Pattern trees for regression and fuzzy systems modeling","authors":"Robin Senge, E. Hüllermeier","doi":"10.1109/FUZZY.2010.5584231","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584231","url":null,"abstract":"Fuzzy pattern tree induction has recently been introduced as a novel classification method in the context of machine learning. Roughly speaking, a pattern tree is a hierarchical, tree-like structure, whose inner nodes are marked with generalized (fuzzy) logical operators and whose leaf nodes are associated with fuzzy predicates on input attributes. In this paper, we adapt the method of pattern tree induction so as to make it applicable to another learning task, namely regression. Thus, instead of predicting one among a finite number of discrete class labels, we address the problem of predicting a real-valued target output. Apart from showing that fuzzy pattern trees are able to approximate real-valued functions in an accurate manner, we argue that such trees are also interesting from a modeling point of view. In fact, by describing a functional relationship between several input attributes and an output variable in an interpretable way, pattern trees constitute a viable alternative to classical fuzzy rule models. Compared to flat rule models, the hierarchical structure of patterns trees further allows for a more compact representation and for trading off accuracy against model simplicity in a seamless manner.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"159 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":"132494693","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: 18
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信