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2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)最新文献

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Fuzzy non-local image guided filter and averaging 模糊非局部图像引导滤波和平均
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311801
Li Guo, Long Chen, Tianjun Li, C. L. P. Chen
{"title":"Fuzzy non-local image guided filter and averaging","authors":"Li Guo, Long Chen, Tianjun Li, C. L. P. Chen","doi":"10.1109/IFUZZY.2017.8311801","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311801","url":null,"abstract":"Non-local model has been a very useful tool in image processing for its global information accumulation. As we all known, the patch centered a fix pixel in an image is in dynamic change when adapting some image processing algorithms, and in the classical non-local model, the weights are set to be constant. For example, in the non-local guided filter methods, the non-local weights need to fine tune according to other parameter and the guidance. To fix this problem, we improve the non-local models by employing the fuzzy sets theory. In this way, the global information are accumulated with fuzzy weights in its iterative optimization. In this paper, a fuzzy non-local image guided filter and average methods (FNLGFF and FNLGAF) are proposed and show good performance in many image processing tasks by utilizing the fuzzy weighted non-local similarity of the guidance image. This fuzzy model shows more reliable weighted filtered and averaged image results when handle image noise by update the non-local information in every iteration. In this process, it also suppresses the low similarity values of the guidance image and boosts high similarity values. Experimental results on several image processing tasks including image denoising and image dehazing verify the superiority of our fuzzy non-local image guided approaches.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116409499","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
Deciding classification process to handle classification problem based on meta heuristic approach 基于元启发式方法确定分类过程来处理分类问题
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311782
W. Hung
{"title":"Deciding classification process to handle classification problem based on meta heuristic approach","authors":"W. Hung","doi":"10.1109/IFUZZY.2017.8311782","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311782","url":null,"abstract":"Using knowledge and experiments to predict the trend of future events is the prerequisites of management. Classifiers are the main models used to predict future events. Data processed by preprocessors are employed to train classifiers and generate information for predicting future events. In this study, the data preprocessor includes four steps (1) data imputation (2) outlier detection (3) data distretization (4) feature selection. Different classifiers are suitable for different data preprocessors; and this procedure can be treated as a classification decision process. The classification decision process influences the classification accuracy. In previous literature, experts usually used trial and error method to determine the classification decision process. However, the trial and error process is time-consuming and cannot guarantee to obtain the best classification decision process. This study uses meta-huristics to yield the near optimal classification decision process. Some data in UCI library were used to demonstrate the performance of proposed method. Finally, the experimental results, limitations of proposed method and future research directions were presented.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132623852","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
A method for generalized fuzzy rough sets and application to fuzzy control systems 广义模糊粗糙集的一种方法及其在模糊控制系统中的应用
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311781
V. Poli
{"title":"A method for generalized fuzzy rough sets and application to fuzzy control systems","authors":"V. Poli","doi":"10.1109/IFUZZY.2017.8311781","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311781","url":null,"abstract":"Zadeh fuzzy set is defined with single fuzzy membership for incomplete information. Fuzzy set with two fuzzy membership functions \"True\" and \"False\" will give more information than the single fuzzy membership function. Zadeh and Mamdani fuzzy conditional inferences need to know both \"Precedent part\" and \"Consequent part\". In many applications like Medical diagnosis, Business intelligence and Control systems, the consequent part may not be known. In this paper, fuzzy conditional inference is studied when consequent part is not known. Generalized fuzzy logic with two membership function is studied for Rough sets. Fuzzy Certainty Factor(FCF ) is studied as the difference of \"True \" and \"False\" to eliminate the conflict of evidence The fuzzy control system is given as an application.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123617628","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
Multi-criteria group decision-making method using new score function based on vague set theory 基于模糊集理论的新分数函数的多准则群体决策方法
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311795
Kuo-Sui Lin, Chih-Chung Chiu
{"title":"Multi-criteria group decision-making method using new score function based on vague set theory","authors":"Kuo-Sui Lin, Chih-Chung Chiu","doi":"10.1109/IFUZZY.2017.8311795","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311795","url":null,"abstract":"In this study, a multiple-criteria group decision making method based on vague set theory was proposed for making selection or ranking alternatives, where the characteristics of the alternatives are represented by a set of supported vague values. The vague weighting values and vague rating values can be solicited from a vague polling method previously proposed by one of the authors. By using a weighted aggregation function, weighted aggregated vague value for each alternative can be derived by multiplying the vague weighting vector with vague rating vector. The aggregated vague values of alternatives are further transformed into comparable numerical scores by using a new score function proposed in this study. Finally, an illustrative example and comparison analysis are provided to demonstrate that the proposed new score function provides an easily computable and reasonable way for handling vague based multi-criteria decision making problems.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125196554","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: 9
Adaptive fuzzy output regulation for formation control of unmanned surface vehicles 无人水面车辆编队控制的自适应模糊输出调节
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311796
Shaobao Li, M. Er, Ning Wang, Chiang-Ju Chien, Zhenyu Yang
{"title":"Adaptive fuzzy output regulation for formation control of unmanned surface vehicles","authors":"Shaobao Li, M. Er, Ning Wang, Chiang-Ju Chien, Zhenyu Yang","doi":"10.1109/IFUZZY.2017.8311796","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311796","url":null,"abstract":"In this paper, the formation control problem of unmanned surface vehicles (USVs) is investigated. Unlike the classical formation control problem where the reference signal is required to be second-order differentiable with respect to time, we consider a more general autonomous dynamic system as the reference system. A novel adaptive fuzzy output regulation approach is presented to solve the formation control problem, where a set of regulator equations using only approximation information and a distributed observer are constructed to obtain the feedforward information of the reference system. Based upon this, a distributed adaptive fuzzy control law is designed by using the backstepping technique. It is shown that USVs can effectively achieve the desired formation with the tracking error being adjusted as small as possible. Simulation studies demonstrate that the proposed formation control law is effective and efficient.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115069951","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
An extended VIKOR method for multi attribute decision making under interval type-2 fuzzy sets environment 区间2型模糊集环境下多属性决策的扩展VIKOR方法
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311805
Huidong Wang, Xiaohong Pan, Chuanchao Song, Rong Zhuang, Honghai Wang
{"title":"An extended VIKOR method for multi attribute decision making under interval type-2 fuzzy sets environment","authors":"Huidong Wang, Xiaohong Pan, Chuanchao Song, Rong Zhuang, Honghai Wang","doi":"10.1109/IFUZZY.2017.8311805","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311805","url":null,"abstract":"An extended VIKOR method is proposed for fuzzy multi attribute decision making based on interval type-2 fuzzy sets. A new signed area function with trapezoidal fuzzy number is firstly defined and a new ranking score method is presented consequently. Then, based on the ranking score method, interval type-2 trapezoidal fuzzy number matrix can be converted to ranking score value matrix. Finally, the VIKOR method can be extended to deal with multi attribute decision making problems under interval type-2 fuzzy sets environment. The effectiveness of the proposed method is illustrated by a numerical example.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122720077","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 design and implementation of a lidar system with center average defuzzifier 中心平均去模糊激光雷达系统的设计与实现
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311807
Wei-Lun Chen, Ye Chen, Yu Hao, Kuo-Yi Chen
{"title":"The design and implementation of a lidar system with center average defuzzifier","authors":"Wei-Lun Chen, Ye Chen, Yu Hao, Kuo-Yi Chen","doi":"10.1109/IFUZZY.2017.8311807","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311807","url":null,"abstract":"There are two important issues in the field of indoor robot navigation, sensing the environment and building the map. There are many approaches that have been used to obtain the distance between the robot and objects. The approaches could be divided into passive and active indoor navigation technologies. However, passive indoor navigation technology usually requires pre-construction of indoor places. It could not be navigated well in an unknown room environment. Therefore, active navigation technology already has become the main solution currently. In this paper, the computer vision technology is used to extract laser points, and use the range finder triangulation measurement method to measure the relationship between the laser point and the camera plane. With the use of rotating device, our system could create a 360 degrees environment map. The proposed LIDAR system could be used to model and measure the distance in a room.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161915","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
On conformable fractional nabla-hukuhara derivative on time scales 时间尺度上的可适应分数nabla-hukuhara导数
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311815
Junhua Deng, Chao Xu, Li Sun, Ning Cao, Xue-xiao You
{"title":"On conformable fractional nabla-hukuhara derivative on time scales","authors":"Junhua Deng, Chao Xu, Li Sun, Ning Cao, Xue-xiao You","doi":"10.1109/IFUZZY.2017.8311815","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311815","url":null,"abstract":"We introduce and investigate the concept of conformable fractional Nabla-Hukuhara derivative of fuzzy-valued functions on time scales. By using the theory of time scales, we show some basic properties of conformable fractional Nabla-Hukuhara derivative. Our results extend and improve the related ones in [5,7,13].","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133185070","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
Vertical slice and horizontal slice of conditional fuzzy sets 条件模糊集的垂直切分和水平切分
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311788
Liang Zhao
{"title":"Vertical slice and horizontal slice of conditional fuzzy sets","authors":"Liang Zhao","doi":"10.1109/IFUZZY.2017.8311788","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311788","url":null,"abstract":"In this paper, vertical slice and horizontal slice of conditional fuzzy set (CFS) are defined and derived, which are different from those of type-2 fuzzy set (T2 FS) with type-1 (T1), blur and weight representation. First, we give the formal definition of CFS which is generalization of the definition given by Wang. And then, within the framework of T2 fuzzy theory, we also give the definitions of embedded CFS, vertical slice and horizontal slice. Different from those of T2 FS with T1, blur and weight representation that is well known by T2 fuzzy community, vertical slices of CFS are extremely complicated, which often obey unconventional fuzzy distributions that need to be calculated by extension principle (EP). Comfortingly, mathematical expressions of its horizontal slices are simple and easy-to-use with a small number of parameters. Finally, two examples are proposed to show the effectiveness and validity of these concepts above. In conclusion, they provide fundamental mathematical methods for further applications.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097183","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
Developing a monitoring system of production effectiveness and traceability for semi-automatic production process 开发半自动生产过程的生产有效性和可追溯性监控系统
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Pub Date : 2017-11-01 DOI: 10.1109/IFUZZY.2017.8311804
Tung-Kuan Liu, Chao Chen, Yu-Ti Kuo, Ming-Hung Kuo, Po-Wen Hsueh
{"title":"Developing a monitoring system of production effectiveness and traceability for semi-automatic production process","authors":"Tung-Kuan Liu, Chao Chen, Yu-Ti Kuo, Ming-Hung Kuo, Po-Wen Hsueh","doi":"10.1109/IFUZZY.2017.8311804","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311804","url":null,"abstract":"In this paper, a method consisted of IoT (Internet of Things), Big Data, Deep Learning and Artificial Intelligence technologies has been proposed to deal with the production management problems in semi-automatic wax injection process. ICT (Information and Communication Technology) and DSP (Digital Signal Processing) will be applied so as to catch time series of the machine, and barcode will be used to combine with the information of operator, production order and machine itself in ERP (Enterprise Resource Planning) system to integrate five Ws (who, what, when, where, which) processes effectively via Cloud System. Except benefits mentioned above, the computing of the cycle time of wax injection for every mold is also conducted by experiment results.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123326076","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
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