发布求助
文献互助 智能选刊 最新文献

EUSFLAT Conf.最新文献

筛选
英文 中文
Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion 连续密度上Kullback-Leibler散度的Choquet积分参数辨识及其在分类融合中的应用
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.69
E. Ramasso, S. Jullien
{"title":"Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion","authors":"E. Ramasso, S. Jullien","doi":"10.2991/eusflat.2011.69","DOIUrl":"https://doi.org/10.2991/eusflat.2011.69","url":null,"abstract":"Classifier fusion is a means to increase accuracy and decision-making of classification systems by designing a set of basis classifiers and then combining their outputs. The combination is made up by non linear functional dependent on fuzzy measures called Choquet integral. It constitues a vast family of aggregation operators including minimum, maximum or weighted sum. The main issue before applying the Choquet integral is to identify the 2 M 2 parameters for M classifiers. We follow a previous work by Kojadinovic and one of the authors where the identification is performed using an informationtheoritic approach. The underlying probability densities are made smooth by fitting continuous parametric and then the Kullback-Leibler divergence is used to identify fuzzy measures. The proposed framework is applied on widely used datasets.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127766673","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
Different interpretations of fuzzy gradual-inclusion-based IR models 基于模糊渐进包容的红外模型的不同解释
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.109
L. Ughetto, V. Claveau
{"title":"Different interpretations of fuzzy gradual-inclusion-based IR models","authors":"L. Ughetto, V. Claveau","doi":"10.2991/eusflat.2011.109","DOIUrl":"https://doi.org/10.2991/eusflat.2011.109","url":null,"abstract":"Recently, a theoretical fuzzy IR system, based on gradual inclusion measures, has been proposed [1]. In this model, derived from the division of fuzzy relations, the gradual inclusion of a query in a document is modeled by a fuzzy implication. In previous papers, we have shown that, under some assumptions, this model can be seen as a Vector Space Model. This paper also studies other interpretations of our fuzzy IR models based on gradual inclusions. It is shown that the fuzzy models can be interpreted as language models for IR. The links with logical models to IR are also recalled. More generally, this paper discusses the links between these models, shown from the point of view of our fuzzy models.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"40 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125745469","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
The Fuzziness of Verbal Response Scales: The STAI-T Questionnaire 言语反应量表的模糊性:STAI-T问卷
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.36
Franziska Bocklisch, S. Bocklisch, J. Krems
{"title":"The Fuzziness of Verbal Response Scales: The STAI-T Questionnaire","authors":"Franziska Bocklisch, S. Bocklisch, J. Krems","doi":"10.2991/eusflat.2011.36","DOIUrl":"https://doi.org/10.2991/eusflat.2011.36","url":null,"abstract":"In this paper we used a two-step procedure for the numerical translation of verbal frequency expressions of the response scale of a questionnaire (STAI-T). In an empirical study, 70 participants estimated numerical equivalents for verbal frequency expressions, data was modeled, and fuzzy membership functions were calculated. Results show that the scale’s visual arrangement does not influence the interpretation of the words’ meanings. We argue that traditional statistics are inappropriate for the analysis of verbal response data and demonstrate the alternative of fuzzy analysis, providing an example.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115938155","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
Linguistic Summarization of Time Series Data using Genetic Algorithms 基于遗传算法的时间序列数据语言摘要
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.145
R. Castillo-Ortega, Nicolás Marín, D. Sánchez, A. Tettamanzi
{"title":"Linguistic Summarization of Time Series Data using Genetic Algorithms","authors":"R. Castillo-Ortega, Nicolás Marín, D. Sánchez, A. Tettamanzi","doi":"10.2991/eusflat.2011.145","DOIUrl":"https://doi.org/10.2991/eusflat.2011.145","url":null,"abstract":"In this paper, the use of an evolutionary approach when obtaining linguistic summaries from time series data is proposed. We assume the availability of a hierarchical partition of the time dimension in the time series. The use of natural language allows the human users to understand the resulting summaries in an easy way. The number of possible final summaries and the dierent ways of measuring their quality has taken us to adopt the use of a multi objective evolutionary algorithm. We compare the results of the new approach with our previous greedy algorithms.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948042","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: 36
Solution of Fuzzy Differential Equations with generalized differentiability using LU-parametric representation 用lu参数表示求解广义可微模糊微分方程
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.106
B. Bede, Luciano Stefanini
{"title":"Solution of Fuzzy Differential Equations with generalized differentiability using LU-parametric representation","authors":"B. Bede, Luciano Stefanini","doi":"10.2991/eusflat.2011.106","DOIUrl":"https://doi.org/10.2991/eusflat.2011.106","url":null,"abstract":"The paper uses the LU-parametric representation of fuzzy numbers and fuzzy-valued functions, to obtain valid approxi- mations of fuzzy generalized derivative and to solve fuzzy differential equations. The main result is that a fuzzy differential initial-value problem can be translated into a system of innitely many ordinary differential equations and, by the LU-parametric representation, the innitely many equations can be approximated efciently by anite set of four ODEs. Some examples are included.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130877609","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: 35
Design of unknown input fuzzy observer for vehicle dynamics estimation with road geometry consideration 考虑道路几何形状的未知输入模糊观测器设计
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.116
H. Dahmani, M. Chadli, A. Rabhi, A. Hajjaji
{"title":"Design of unknown input fuzzy observer for vehicle dynamics estimation with road geometry consideration","authors":"H. Dahmani, M. Chadli, A. Rabhi, A. Hajjaji","doi":"10.2991/eusflat.2011.116","DOIUrl":"https://doi.org/10.2991/eusflat.2011.116","url":null,"abstract":"A methodology for estimating vehicle dynamics whith road geometry consideration is presented in this paper. Vehicle sideslip and roll parameters are estimated in the presence of the road bank angle and the road curvature as unknown inputs. The unknown inputs are then estimated using the observer results. This information about the road geometry and vehicle parameters is needed in the driver assistance systems to be able to calculate the risk index of a rollover or a lane departure crashes. Taking into account the unmeasured variables, an unknown inputs (TS) observer is then designed on the basis of the measure of the roll rate, the steering angle and the lateral offset given by the distance between the road centerline and the vehicle axe at a look-ahead distance. Synthesis conditions of the proposed fuzzy observer are formulated in terms of Linear Matrix Inequalities (LMI) using Lyapunov method. Simulation results show good efficiency of the proposed method to estimate both vehicle dynamics and road geometry.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281473","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
R-implications and the Exchange Principle: A Complete Characterization r -蕴涵与交换原则:一个完整的表征
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.63
B. Jayaram, M. Baczyński, R. Mesiar
{"title":"R-implications and the Exchange Principle: A Complete Characterization","authors":"B. Jayaram, M. Baczyński, R. Mesiar","doi":"10.2991/eusflat.2011.63","DOIUrl":"https://doi.org/10.2991/eusflat.2011.63","url":null,"abstract":"It is well-known that the residual IT of a leftcontinuous t-norm T satisfies the exchange principle (EP), viz., IT (x,IT (y,z)) = IT (y,IT (x,z)) for all x,y,z ∈ [0, 1]. However, the left-continuity of T is only sufficient and not necessary, as many examples in the literature illustrate. In this work we study the necessary conditions on a t-norm T for its residual to satisfy (EP). The work presents a complete characterization of the class of t-norms whose residuals satisfy (EP).","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"349 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116318007","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
Mobile Phone User Identification with Fuzzy Fingerprints 基于模糊指纹的手机用户识别
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.153
Nuno Homem, Joao Paulo Carvalho
{"title":"Mobile Phone User Identification with Fuzzy Fingerprints","authors":"Nuno Homem, Joao Paulo Carvalho","doi":"10.2991/eusflat.2011.153","DOIUrl":"https://doi.org/10.2991/eusflat.2011.153","url":null,"abstract":"Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying a mobile phone user based on a user fingerprint is one such application. This paper considers the problem of extracting fingerprints from call usage logs and matching them with those obtained from a set of known users. It presents an innovative fuzzy fingerprint algorithm based on vector valued fuzzy sets. Call destination numbers are used as base features to create the fingerprint. The assumption is that numbers called by each user remain approximately stable and are distinctive. The paper presents the proposed algorithm and shows some experimental results that validate the approach. The use of fast and compact algorithms is critical due to the possible huge number of users, and allows this method to be used on near real time.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130078951","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
Learning in dynamic environments: application to the diagnosis of evolving systems 动态环境中的学习:应用于演化系统的诊断
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.40
M. S. Mouchaweh, O. Ayad, N. Malki
{"title":"Learning in dynamic environments: application to the diagnosis of evolving systems","authors":"M. S. Mouchaweh, O. Ayad, N. Malki","doi":"10.2991/eusflat.2011.40","DOIUrl":"https://doi.org/10.2991/eusflat.2011.40","url":null,"abstract":"In dynamic environments, data characteristics may drift over time. This leads to deteriorate dramatically the performance of incremental learning algorithms over time. This is because of the use of data which is no more consistent with the characteristics of new incoming one. In this paper, an approach for learning in dynamic environments is proposed. This approach integrates a mechanism to use only the recent and useful patterns to update the classifier without a “catastrophic forgetting”. This approach is used for the acoustic leak detection in the steam generator unit of the nuclear power generator “Prototype Fast React”.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130496794","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: 0
Axiomatic characterizations of (quasi-) L-statistics and S-statistics and the Producer Assessment Problem (拟)l统计量和s统计量的公理化刻画及生产者评价问题
EUSFLAT Conf. Pub Date : 2011-08-06 DOI: 10.2991/eusflat.2011.112
M. Gagolewski, P. Grzegorzewski
{"title":"Axiomatic characterizations of (quasi-) L-statistics and S-statistics and the Producer Assessment Problem","authors":"M. Gagolewski, P. Grzegorzewski","doi":"10.2991/eusflat.2011.112","DOIUrl":"https://doi.org/10.2991/eusflat.2011.112","url":null,"abstract":"Two classes of aggregation functions: L-statistics and S-statistics and their generalizations called quasi-L-statistics and quasi-S-statistics are considered. Some interesting characterizations of these families of operators are given. The aforementioned functions are useful for various applications. In particular, they are very helpful for modeling the socalled Producer Assessment Problem.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127633806","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
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