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2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献

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A graph-based semi-supervised learning approach towards household energy disaggregation 基于图的家庭能源分类半监督学习方法
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015650
Ding Li, S. Dick
{"title":"A graph-based semi-supervised learning approach towards household energy disaggregation","authors":"Ding Li, S. Dick","doi":"10.1109/FUZZ-IEEE.2017.8015650","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015650","url":null,"abstract":"Non-Intrusive Appliance Load Monitoring has drawn increasing attention in the last few years. Many existing studies that use machine learning for this problem assume that the analyst has access to the actual appliances states at every sample instant, whereas in fact collecting this information exposes consumers to severe privacy risks. It may, however, be possible to persuade consumers to provide brief samples of the operation of their home appliances as part of a “registration” process for smart metering (if appropriate financial incentives are offered). This labeled data would then be supplemented by a large volume of unlabeled data. Hence, we propose the use of semi-supervised learning for non-intrusive appliance load monitoring. Furthermore, based on our previous work, we model the simultaneous operation of multiple appliances via multi-label classification. Thus, our proposed approach employs semi-supervised multi-label classifiers for the monitoring task. Experiments on publicly-available dataset demonstrate our proposed method.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127657227","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
A fuzzy clustering with bounded spatial probability for image segmentation 基于有界空间概率的模糊聚类图像分割
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015394
Zexuan Ji, Quansen Sun
{"title":"A fuzzy clustering with bounded spatial probability for image segmentation","authors":"Zexuan Ji, Quansen Sun","doi":"10.1109/FUZZ-IEEE.2017.8015394","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015394","url":null,"abstract":"Accurate image segmentation is an important issue in image processing, where unsupervised clustering models play an important part and have been proven to be effective. However, most clustering methods suffer from limited segmentation accuracy without considering spatial information or bounded support region for practical data. In this paper, a bounded spatial probability based fuzzy clustering algorithm is proposed for image segmentation. A bounded distribution to fit the bounded data is utilized and a new conditional probability is constructed based on the immediate neighboring probabilities. Then a parameter-free mean template is presented to impose the spatial information more precisely. Finally, the negative logarithmical conditional probability is utilized as the dissimilarity function to describe the observed data. We evaluated our algorithm against several state-of-the-art segmentation approaches on brain magnetic resonance images. Our results suggest that the proposed algorithm is more robust to noise and textures, and can produce more accurate segmentation results.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"62 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133865131","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
Takagi-Sugeno fuzzy controller structures for twin rotor aerodynamic systems 双旋翼气动系统的模糊控制结构
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015389
Raul-Cristian Roman, R. Precup, M. Radac, E. Petriu
{"title":"Takagi-Sugeno fuzzy controller structures for twin rotor aerodynamic systems","authors":"Raul-Cristian Roman, R. Precup, M. Radac, E. Petriu","doi":"10.1109/FUZZ-IEEE.2017.8015389","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015389","url":null,"abstract":"This paper proposes structures of Takagi-Sugeno fuzzy (TSF) controllers along with approaches to design these structures dedicated to the azimuth and pitch position control of twin rotor aerodynamic systems (TRASs). The azimuth and the pitch positions are separately controlled using Single Input-Single Output (SISO) control system structures. Two Proportional-Integral-Derivative (PID) TSF controllers are suggested for azimuth position control, and they are build around linear PID controller structures. A PI and a PID TSF controller are suggested for pitch position control by fuzzifying the linear PI and PID controller structures. The validation of the new TFS controllers is carried out on nonlinear TRAS laboratory equipment. The performance of the SISO control systems with the new TFS controllers is compared with two linear controllers tuned by a metaheuristic Gravitational Search Algorithm optimizer.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134087253","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
Improved stability and stabilization criteria for T-S fuzzy systems with time-varying delay 改进了时变时滞T-S模糊系统的稳定性和镇定准则
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015382
Jian Chen, Chong Lin, Bing Chen
{"title":"Improved stability and stabilization criteria for T-S fuzzy systems with time-varying delay","authors":"Jian Chen, Chong Lin, Bing Chen","doi":"10.1109/FUZZ-IEEE.2017.8015382","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015382","url":null,"abstract":"This paper studies the problems of stability analysis and stabilization for a class of nonlinear systems represented by T-S fuzzy models with time-varying delay. Based on a reinforced Lyapunov-Krasovskii functional, a new delay-dependent criterion for ensuring the asymptotic stability of the concerned fuzzy systems has been derived in terms of linear matrix inequalities (LMI). Then, the state feedback control design is derived to achieve the stabilization. The efficiency and merits of the proposed approach are shown through several numerical examples.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"74 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120823185","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
Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction 椭圆隶属函数与2型模糊逻辑系统的建模不确定性在时间序列预测中的应用
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015457
E. Kayacan, S. Coupland, R. John, M. A. Khanesar
{"title":"Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction","authors":"E. Kayacan, S. Coupland, R. John, M. A. Khanesar","doi":"10.1109/FUZZ-IEEE.2017.8015457","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015457","url":null,"abstract":"In this paper, our aim is to compare and contrast various ways of modeling uncertainty by using different type-2 fuzzy membership functions available in literature. In particular we focus on a novel type-2 fuzzy membership function, — “Elliptic membership function”. After briefly explaining the motivation behind the suggestion of the elliptic membership function, we analyse the uncertainty distribution along its support, and we compare its uncertainty modeling capability with the existing membership functions. We also show how the elliptic membership functions perform in fuzzy arithmetic. In addition to its extra advantages over the existing type-2 fuzzy membership functions such as having decoupled parameters for its support and width, this novel membership function has some similar features to the Gaussian and triangular membership functions in addition and multiplication operations. Finally, we have tested the prediction capability of elliptic membership functions using interval type-2 fuzzy logic systems on US Dollar/Euro exchange rate prediction problem. Throughout the simulation studies, an extreme learning machine is used to train the interval type-2 fuzzy logic system. The prediction results show that, in addition to their various advantages mentioned above, elliptic membership functions have comparable prediction results when compared to Gaussian and triangular membership functions.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114418891","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
Energy-aware scheduling in clouc computing systems 云计算系统中的能源感知调度
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015424
I. Cotes-Ruiz, R. P. Prado, S. García-Galán, J. E. Muñoz-Expósito
{"title":"Energy-aware scheduling in clouc computing systems","authors":"I. Cotes-Ruiz, R. P. Prado, S. García-Galán, J. E. Muñoz-Expósito","doi":"10.1109/FUZZ-IEEE.2017.8015424","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015424","url":null,"abstract":"The main objective of this work is to reduce power consumption and energy of a datacenter. There are various power saving techniques. A fuzzy system-based scheduler has been used, comparing its results with other well-known algorithms. The methods used in this paper are based on a combination of the DVFS algorithm and the development of a rule-based expert system to provide power-based planners for task planning domains. The parameters considered in the system are explained in detail and the results obtained are analyzed.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122741057","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
Fuzzy co-clustering induced by q-multinomial mixture models q-多项混合模型诱导的模糊共聚类
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015398
Y. Kanzawa
{"title":"Fuzzy co-clustering induced by q-multinomial mixture models","authors":"Y. Kanzawa","doi":"10.1109/FUZZ-IEEE.2017.8015398","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015398","url":null,"abstract":"In this study, a new fuzzy co-clusterins algorithm based on a q-multinomial mixture model is proposed. A conventional fuzzy co-clustering model was constructed by fuzzifying a multinomial mixture model (MMM) via regularizing Kullback-Leibler divergence appearing in a pseudo likelihood of an MMM. Furthermore, a q-multinomial distribution was formulated, which acts as the Tsallis statistical counter for multinomial distributions in standard statistics. The proposed algorithm is constructed by fuzzifying a q-multinomial mixture model, by means of regularizing q-divergence appearing in a pseudo likelihood of the model. The proposed algorithm not only reduces into the q-multinomial mixture model, but also reduces into conventional fuzzy co-clustering models with specified sets of parameter values. In numerical experiments, the properties of the membership of the proposed method are observed.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129056750","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
Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic 球的游戏:一个现实世界的追捕逃避游戏与类型2模糊逻辑
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015501
Aykut Beke, T. Kumbasar
{"title":"Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic","authors":"Aykut Beke, T. Kumbasar","doi":"10.1109/FUZZ-IEEE.2017.8015501","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015501","url":null,"abstract":"In this paper, we will present the novel application of Type-2 (T2) fuzzy logic to solve a real-time pursuit-evasion game problem with the spherical droids Sphero 2.0 and BB8 (products of the Sphero company). The game scenario is constructed as the evader droid BB8 is controlled by a human user while the pursuer droid Sphero 2.0 is navigated through the game environment via the proposed T2 fuzzy pursuing system. The proposed T2 fuzzy pursuing system structure is composed of vision based localization, the error signal generator, T2 fuzzy strategy planner and the control system. The T2 fuzzy strategy planner is the key structure of the pursuing system since it generates the reference trajectories to be followed by the pursuer droid Sphero 2.0. In this paper, we have transformed design guidelines presented for T2 fuzzy logic controllers into two pursuing strategies for the first time in literature. The performances of the proposed T2 fuzzy strategies have been examined by providing comparative experimental results performed in the real-world game environment against a human user. We believe that this pioneer application of the T2 fuzzy logic in pursuit-evasion games will be an important step for a wider deployment in the research area of real world games.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133158662","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
A construction method of internal functions 一种内部函数的构造方法
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015640
D. Paternain, A. Jurio, H. Bustince, M. J. Campión, I. Perfilieva, R. Mesiar
{"title":"A construction method of internal functions","authors":"D. Paternain, A. Jurio, H. Bustince, M. J. Campión, I. Perfilieva, R. Mesiar","doi":"10.1109/FUZZ-IEEE.2017.8015640","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015640","url":null,"abstract":"In this work we investigate a new family of fusion functions called internal fusion functions. The main characteristic of these functions is the fact that the output always corresponds to some of the given inputs. We propose a construction method and we study whether internal functions constructed in this way also satisfy properties of aggregation functions Finally, we apply internal functions in an example of a multi-class problem, where a set of matrices must be combine into a single representative collective matrix in order to obtain better classification rates.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122597209","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
Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems 扩展IEEE标准1855用于设计基于Arduino™的模糊系统
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-09 DOI: 10.1109/FUZZ-IEEE.2017.8015755
G. Acampora, A. Vitiello
{"title":"Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems","authors":"G. Acampora, A. Vitiello","doi":"10.1109/FUZZ-IEEE.2017.8015755","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2017.8015755","url":null,"abstract":"IYEEE Std 1855 is the first IEEE standard technology developed in the area of fuzzy logic. Its main characteristic is the interoperability, a design feature that enables system designers to develop fuzzy inference engines without taking into account the hardware/software constraints imposed by the specific architecture on which the system will be deployed. Thanks to this feature, a fuzzy system can be integrated into different types of architectures without any need to carry out porting strategies. This feature is particularly crucial in the area of embedded systems where, for each kind of device, a variety of applications, communication protocols, software libraries and programming tools, exists. In this context, ArduinoTM technology represents one of the most popular architectures, thanks to its ease of development and prototyping. This paper shows how the native extendability feature of IEEE Std 1855 enables the design of a fuzzy rule-based systems in fully interoperable fashion on ArduinoTM architectures and, as a consequence, allows designers to focus on fuzzy concepts, without any need to consider the hardware/software details related to the specific ArduinoTM system.","PeriodicalId":408343,"journal":{"name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130043822","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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