2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献

Intention recognition by inverted two-wheeled mobile robot through interactive operation 通过交互操作实现倒置两轮移动机器人的意图识别

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-12-01 DOI: 10.1109/SCIS-ISIS.2014.7044740

Shinnosuke Nomura, Takuya Inoue, Yasutake Takahashi, Takayuki Nakamura

引用次数: 4

A self-tuning fuzzy PID controller design using gamma aggregation operator 基于聚合算子的自整定模糊PID控制器设计

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-09-08 DOI: 10.1109/FUZZ-IEEE.2014.6891599

E. Yesil, Cagri Guzay

{"title":"A self-tuning fuzzy PID controller design using gamma aggregation operator","authors":"E. Yesil, Cagri Guzay","doi":"10.1109/FUZZ-IEEE.2014.6891599","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891599","url":null,"abstract":"In this paper, a novel tuning approach for aggregation operator of a fuzzy PID controller has been proposed. The gamma operator which has a free parameter (gamma) is used for the aggregation purpose. The change of the gamma parameter between 0 and 1 generates the aggregation operator hybrid output of the AND and OR operators. In this manner, firstly, the effect of the gamma parameter change on the control surface of the fuzzy PID controller and the closed loop system response are studied. Secondly, a gamma tuning mechanism is built by a fuzzy logic decision mechanism using the observations from the first various simulation studies. The aim of the gamma tuning mechanism is to change the gamma parameter in an online manner to obtain a fast response with no or less overshoot. The benefit of the proposed approach over the conventional aggregation operator is shown on a non-linear system via simulations. Simulations are performed in Matlab, and the performance of the proposed approach is studied for a sequence of different set-points in order to observe the set-point following performances. Moreover, the disturbance rejection performance is studied. The results of the simulations show the advantage of the proposed new self-tuning structure over the conventional structures.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127451219","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 general type-II similarity based model for breast cancer grading with FTIR spectral data 基于FTIR光谱数据的乳腺癌分级的通用ii型相似性模型

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891831

Shabbar Naqvi, Simon Miller, J. Garibaldi

引用次数: 2

Improvement on fuzzy-model-based stability criteria of nonlinear networked control systems 基于模糊模型的非线性网络控制系统稳定性准则的改进

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891644

Hao Chen, B. Tang, Jianan Huang, Yun Zhang

引用次数: 1

Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm 基于决策理论粗糙集模型和模糊c均值算法的彩色图像分割

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891763

Min Guo, L. Shang

{"title":"Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm","authors":"Min Guo, L. Shang","doi":"10.1109/FUZZ-IEEE.2014.6891763","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891763","url":null,"abstract":"This paper proposes an approach which combines the Decision Theoretic Rough Set model (DTRS) and Fuzzy C-Means(FCM) algorithm to perform color image segmentation. The FCM algorithm has the limitation that it requires the initialization of cluster centroids and the number of clusters. In this paper, the DTRS model is applied to color image segmentation for the purpose of clustering validity analysis which could overcome the defect of the FCM algorithm. Firstly, we adopt the Turbopixel algorithm to split the color image into many small regions called superpixels for presegmentation. Based on color image color histogram feature extraction we use Bhattacharyya coefficient to measure the similarity between superpixels, which is in preparation for clustering validity analysis. It is our focus that we will obtain cluster centroids and the number of clusters using FCM. Our approach is according to the hierarchical clustering validity analysis algorithm using DTRS model. Finally, the FCM algorithm is utilized to achieve the result of color image segmentation. Experimental results show that the DTRS-based preprocessing approach can obtain better segmentation results than other improved FCM approaches such as ant colony algorithm or histogram thresholding approach.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121084738","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

Multimodeling for the prediction of patient readmissions in Intensive Care Units 多模型预测重症监护病房病人再入院

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891779

Marta P. B. Fernandes, Claudia F. Silva, S. Vieira, J. Sousa

{"title":"Multimodeling for the prediction of patient readmissions in Intensive Care Units","authors":"Marta P. B. Fernandes, Claudia F. Silva, S. Vieira, J. Sousa","doi":"10.1109/FUZZ-IEEE.2014.6891779","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891779","url":null,"abstract":"The aim of this work is to identify groups of patients with similar patterns that are related to a higher risk of readmission to an Intensive Care Unit (ICU). Patients readmissions to ICUs are introduced as a problem associated with increased mortality, morbidity and costs, which complicates the performance of a good clinical management and medical diagnosis. To approach the readmissions classification problem, Fuzzy C-Means (FCM) clustering algorithm was implemented to find the different groups of patients. A multimodel approach was developed using these groups and the best clustering division was assessed through different objective functions. Two decision criteria were used for the multimodel approach, an a priori decision and an a posteriori decision. The data used, from MIMIC II database, consisted on the arithmetic means of time series of variables - acquired during the last 24 hours before discharge. The multimodel using the a priori and the aposteriori decisions were able to predict readmissions with an average AUC of 0.74 and 0.75, respectively. Consequently, the multimodel results overcame the results of previous predictive models developed for the classification of readmissions outcome.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121090327","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: 10

Adaptive unscented Kaiman filter with a fuzzy supervisor for electrified drive train tractors 带有模糊监督器的自适应无气味Kaiman滤波器用于电动传动系拖拉机

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891532

Pavel Osinenko, M. Geissler, T. Herlitzius

引用次数: 7

An integrated intelligent technique for monthly rainfall time series prediction 月降水时间序列综合智能预测技术

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891619

Jesada Kajornrit, K. Wong, L. Fung, Y. Ong

引用次数: 9

Design of indirect adaptive fuzzy control (IAFC) for nonlinear hysteretic systems 非线性滞后系统的间接自适应模糊控制设计

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891563

Chi-Hsu Wang, Jyun-Hong Wang, Chun-Yao Chen

{"title":"Design of indirect adaptive fuzzy control (IAFC) for nonlinear hysteretic systems","authors":"Chi-Hsu Wang, Jyun-Hong Wang, Chun-Yao Chen","doi":"10.1109/FUZZ-IEEE.2014.6891563","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891563","url":null,"abstract":"Nonlinear hysteretic phenomena occur in many physical systems, such as electronic throttle and solenoid valves in automobiles, piezoelectric sensors, and many other mechanical actuators. In order to handle the nonlinear properties of hysteretic systems, an indirect adaptive fuzzy controller (IAFC) is proposed in this paper. However, it is a hard task to directly identify unknown hysteretic effects. Firstly, to overcome this problem, a hysteretic function is employed to construct the nonlinear properties of backlashlike hysteretic systems. Then the existence of an indirect adaptive controller (IAFC) is derived in this paper. Unlike the existing fuzzy control methods, our proposed IAFC can deal with different kinds of hysteretic problems with adaptive and control laws. Based on the learning algorithm, the adaptive and control laws not only can be derived but the stability of the closed-loop system can also be guaranteed by the Lyapunov stability criterion. Finally, MATLAB software is used for simulations, and the results show that our proposed IAFC can effectively handle the nonlinear properties in some unknown hysteretic systems.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125069212","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

Description of activity of living neuronal network by fuzzy bio-indicator 用模糊生物指标描述活神经元网络的活动

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891880

I. Hayashi, S. Kudoh

引用次数: 1