2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献_第8页

Fuzzy-rough feature selection using flock of starlings optimisation 基于椋鸟群优化的模糊粗糙特征选择

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338023

Neil MacParthaláin, Richard Jensen

引用次数: 8

Interpreting the footprint of uncertainty for an interval-valued fuzzy set 解释区间值模糊集的不确定性足迹

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337983

Maowen Nie, W. Tan

{"title":"Interpreting the footprint of uncertainty for an interval-valued fuzzy set","authors":"Maowen Nie, W. Tan","doi":"10.1109/FUZZ-IEEE.2015.7337983","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337983","url":null,"abstract":"In computing with words, words can be modelled by interval-valued (IV) fuzzy sets (FSs). Constructing an footprint of uncertainty (FOU) for an IV FS about a word has been a critical issue. Although a number of methods have been developed, it remains challenging for each people to provide an FOU about his or her word. A primary reason is that FOUs are implicit in indicating the possibilities of the values of the variable. To overcome this challenge, this paper aims to interpret the FOU of an IV FS by revealing the possibilities of the values of its variable. Centroid of an IV FS has been shown to be a measure of the uncertainties inherent in its FOU. The normalized weights of the values of the variable used to compute its centroid, which can be regarded as a type-1 (T1) membership function (MF), are straightforward to show the possibilities of these values. The study can then be performed by revealing the relationship between the FOU and this T1 MF. This T1 FS is called an equivalent T1 (ET1) FS of the IV FS. In this paper, the theory of ET1 FSs will be presented, including how to construct an ET1 FS for an IV FS. Equations relating the lower MF (LMF) and upper MF (UMF) of an IV FS with the MF of its ET1 FS will be established. Using the established equations, properties about the MF of the ET1 FS for an IV FS will be presented to reveal the relationship between its FOU and the MF of its ET1 FS. These properties are helpful for people to relate the FOU of an IV FS with the possibilities of the values of its variable that occur.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122209378","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 gaze control-based navigational assistance system for visually impaired people in a dynamic indoor environment 基于模糊注视控制的视障人士动态室内导航辅助系统

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337837

Seungbeom Han, Deok-Hwa Kim, Jong-Hwan Kim

{"title":"Fuzzy gaze control-based navigational assistance system for visually impaired people in a dynamic indoor environment","authors":"Seungbeom Han, Deok-Hwa Kim, Jong-Hwan Kim","doi":"10.1109/FUZZ-IEEE.2015.7337837","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7337837","url":null,"abstract":"285 million people are estimated to be visually impaired worldwide. Visually impaired people typically use a white cane or a guide dog or both of them to walk down the street. However, such as a cane and/or a dog are not enough to secure them from being collided with obstacles in a dynamic environment. This paper proposes a navigational assistance system based on fuzzy integral-based gaze control for visually impaired people in a dynamic indoor environment. It largely consists of an RGB-D camera and a vibrotactile vest interface. The RGB-D camera detects static and dynamic obstacles and obtains obstacle information on their center positions, sizes, and velocities. The fuzzy integral-based gaze control for obstacle detection is proposed to reduce a blind spot of the camera and obtain more information of the environment. The vibrotactile vest interface notifies a direction to avoid the obstacle using a fuzzy integral-based imminent-obstacle selection algorithm. To confirm the performance of the proposed assistance system for visually impaired people, experiments are carried out in an indoor dynamic environment.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720078","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

CUDA-based hybrid intuitionistic fuzzy edge detection algorithm 基于cuda的混合直觉模糊边缘检测算法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338008

Eyup Yalcin, H. Badem, M. Gunes

引用次数: 4

Dynamics of trust building: Models of information cross-checking in a multivalued logic framework 信任建立的动力学:多值逻辑框架中的信息交叉检查模型

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338121

Adrien Revault d'Allonnes, Marie-Jeanne Lesot

引用次数: 3

Comparative analysis of consumer profile-based methods to predict SLA violation 基于消费者资料的SLA违反预测方法的比较分析

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337993

Walayat Hussain, F. Hussain, O. Hussain

引用次数: 21

The proposal of dynamic thresholds in an immune algorithm for fuzzy clustering 一种免疫模糊聚类算法中动态阈值的提出

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338021

Alexandre Szabo, F. O. França

{"title":"The proposal of dynamic thresholds in an immune algorithm for fuzzy clustering","authors":"Alexandre Szabo, F. O. França","doi":"10.1109/FUZZ-IEEE.2015.7338021","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7338021","url":null,"abstract":"Most datasets obtained in real-world applications are typically unlabeled, requiring a manual labor of classifying a sample of such data or the application of unsupervised learning. Clustering is typically used to devise how data are grouped together before sampling the data to be labeled. Most clustering algorithms often assumes that the number of clusters is known and that a given instance from the dataset belongs to only one cluster. The Fainet algorithm is a bioinspired fuzzy clustering algorithm that finds fuzzy partitions and dynamically estimates the number of clusters. The results from the literature showed that, given a correct parameters set, this algorithm can outperform most clustering methods from the literature. However, in order to obtain such optimal set, a typical user should first acquire a knowledge of the dataset being studied. This work proposes dynamic rules to finetune the parameters set on-the-fly. The advantages of the proposed method is that the parameters not only adapts to the dataset characteristics but also to how close the solutions are from the optima. The results show that the method greatly improves the prototypes representativeness while optimizing the estimated number of clusters.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333694","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

Discovering fuzzy-rough reducts through Estimation of Distribution Algorithms 通过估计分布算法发现模糊粗糙约简

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338022

Richard Jensen, Neil MacParthaláin

{"title":"Discovering fuzzy-rough reducts through Estimation of Distribution Algorithms","authors":"Richard Jensen, Neil MacParthaláin","doi":"10.1109/FUZZ-IEEE.2015.7338022","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2015.7338022","url":null,"abstract":"Due to the explosive growth of stored information worldwide, feature selection (FS) is becoming an increasingly important step, particularly given the abundance of noisy, irrelevant or misleading features. The main aim of FS is to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original set of features. However, the problem of finding optimal reductions is challenging as there is always a trade-off between the extent of reduction and the resulting information loss. This topic has been of particular interest in rough and fuzzy-rough set theory, as these provide a mechanism for defining optimality using only the data itself. Evolutionary methods have been used to try to find rough and fuzzy-rough optimal reductions, but these approaches ignore the fact that not all equally-sized reducts have the same utility for classifiers. This paper presents a novel approach for fuzzy-rough feature selection that uses Estimation of Distribution Algorithms to maintain information about the quality of features, to then obtain a better quality reduct that is more useful in general.","PeriodicalId":185191,"journal":{"name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127326428","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 with automated variable weighting 自动变权模糊共聚类

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7337802

Charlotte Laclau, F. D. Carvalho, M. Nadif

引用次数: 3

An improved BOW approach using fuzzy feature encoding and visual-word weighting 使用模糊特征编码和视觉词加权的改进BOW方法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI: 10.1109/FUZZ-IEEE.2015.7338108

Umit Lutfu Altintakan, A. Yazıcı

引用次数: 4