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Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival 自适应神经模糊推理系统(ANFIS)在乳腺癌生存模型中的应用
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5583997
H. Hamdan, J. Garibaldi
{"title":"Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival","authors":"H. Hamdan, J. Garibaldi","doi":"10.1109/FUZZY.2010.5583997","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5583997","url":null,"abstract":"Medical prognosis is the prediction of the future course and outcome of a disease and an indication of the likelihood of recovery from that disease. Soft-computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behaviour. In this paper, we propose the use of an adaptive fuzzy inference system (ANFIS) technique in the estimation of survival prediction. This paper describes the methodology by which ANFIS was used to model survival and presents a comparison of this new method with existing methods in the capability to predict the survival rate in a given medical data set concerning survival of patients following operative surgery for breast cancer.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262329","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
Automated determination method of tibial bone coordinate system for analysing bone tunnel trans-position after anterior cruciate ligament reconstruction from a knee MDCT image 用于分析膝关节前交叉韧带重建后骨隧道移位的胫骨坐标系统的自动确定方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584247
K. Nagamune, Daisuke Araki, S. Kubo, R. Kuroda, M. Kurosaka
{"title":"Automated determination method of tibial bone coordinate system for analysing bone tunnel trans-position after anterior cruciate ligament reconstruction from a knee MDCT image","authors":"K. Nagamune, Daisuke Araki, S. Kubo, R. Kuroda, M. Kurosaka","doi":"10.1109/FUZZY.2010.5584247","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584247","url":null,"abstract":"The anterior cruciate ligament (ACL) plays important role as a preventing excessive anterior movement of the knee. When the ACL is injured, ACL reconstruction is often performed. In ACL reconstruction, bone tunnels of the femur and tibia are made for passing graft to the bone. It is reported that the bone tunnel is usually enlargement. The bone tunnel enlargement affects much knee function. In serious case, ACL reconstruction should be required again. Therefore evaluation of the bone tunnel is important. It has been analyzed for only calculation of volume change in time course. However, the direction of the volume change has not been considered, due to the difference of bone coordinate systems between data. This study proposes determination method of the bone coordinate system with fuzzy inference. As a result, our proposed method could determine the tibial bone coordinate system. Then, the bone tunnel trans-position was examined. A future work is to apply this method to more data, then feed back the clinical outcome.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129273313","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
Knowledge extraction of the behaviour of software developers by the analysis of time recording logs 通过对时间记录日志的分析，对软件开发人员的行为进行知识提取
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584364
Arturo Peralta, F. P. Romero, J. A. Olivas, Macario Polo
{"title":"Knowledge extraction of the behaviour of software developers by the analysis of time recording logs","authors":"Arturo Peralta, F. P. Romero, J. A. Olivas, Macario Polo","doi":"10.1109/FUZZY.2010.5584364","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584364","url":null,"abstract":"Software development project management has a poor reputation in terms of avoiding cost and schedule overruns. The cause of this situation is based on the feature of the software development process that is characterized by quickly growing complexity and change. Therefore, there are many uncertainties to define exactly the necessary time to complete a tasks according to the person's performance. In this scenario Soft-Computing techniques may offer new approaches with the aim of helping the participants of the project to manage their time, give priority to their activities and readjust the work to complete satisfactorily the project tasks. This work presents an automatic features extraction process with the aim of defining the elements involved in a software project. This knowledge is represented by means fuzzy sets and fuzzy prototypes. The source of data is the Personal Software Project time recording logs. A preliminary experiment illustrates the feasibility of this approach.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129325546","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
Adaptive T-S fuzzy controller design using fuzzy approximators 基于模糊逼近器的自适应T-S模糊控制器设计
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584644
Hugang Han, Takamitsu Koshiro
{"title":"Adaptive T-S fuzzy controller design using fuzzy approximators","authors":"Hugang Han, Takamitsu Koshiro","doi":"10.1109/FUZZY.2010.5584644","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584644","url":null,"abstract":"In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered, and fuzzy approximator is employed to cope with the reconstruction error. As a result, it reaches an adaptive controller that has two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in which the related parameters are tuned by adaptive law (variable part). The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable. An inverted pendulum is provided to demonstrate the effectiveness of the proposed adaptive fuzzy controller.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124735848","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
A new method for weighted fuzzy interpolative reasoning based on weights-learning techniques 基于权重学习技术的加权模糊插值推理新方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584692
Shyi-Ming Chen, Yu-Chuan Chang
{"title":"A new method for weighted fuzzy interpolative reasoning based on weights-learning techniques","authors":"Shyi-Ming Chen, Yu-Chuan Chang","doi":"10.1109/FUZZY.2010.5584692","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584692","url":null,"abstract":"This paper presents a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems which allows the antecedent variables appearing in the fuzzy rules to have different weights. We also present a weights-learning algorithm to automatically learn the optimal weights of the antecedent variables of the fuzzy rules for the proposed weighted fuzzy interpolative reasoning method. We apply the proposed weighted fuzzy interpolative reasoning method and the proposed weights-learning algorithm to deal with the truck backer-upper control problem. The experimental results show that the proposed fuzzy interpolative reasoning method using the optimally learned weights by the proposed weights-learning algorithm gets better truck backer-upper control results than the existing methods.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124736877","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: 12
Type-2 defuzzification: Two contrasting approaches 2型去模糊化:两种截然不同的方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584007
Sarah Greenfield, F. Chiclana, S. Coupland, R. John
{"title":"Type-2 defuzzification: Two contrasting approaches","authors":"Sarah Greenfield, F. Chiclana, S. Coupland, R. John","doi":"10.1109/FUZZY.2010.5584007","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584007","url":null,"abstract":"In this paper two contrasting approaches to the defuzzification of generalised type-2 fuzzy sets are investigated. The sampling method is a direct approach, whereas the α-planes method extends interval defuzzification to generalised type-2 sets, and therefore has to be used in conjunction with an interval technique such as the Karnik-Mendel Iterative Procedure. Experimental evaluations are made of the sampling and α-planes methods, with respect to both efficiency and accuracy, showing both strategies to be efficient and good approximations.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129532360","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: 19
Complex selection processes: Dealing with dependencies 复杂的选择过程:处理依赖关系
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584198
W. Fleury
{"title":"Complex selection processes: Dealing with dependencies","authors":"W. Fleury","doi":"10.1109/FUZZY.2010.5584198","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584198","url":null,"abstract":"Deciding which alternative is the best out of a set of alternatives, where each has multiple attributes, can be a complicated task. In both practice and literature we find that the majority of decision making methods ignore the inherent dependencies that can exist between attributes. Doing so simplifies the task at hand but at the expense of reliability and effectiveness of the entire process. If we are to trust automated trading systems, we must have full trust in the ability of the software to understand and utilize our preferences. This paper presents a method for graphically structuring dependencies among attributes and defining the resulting utility function. An example of fund selection is then given, showing how the inclusion of such dependencies is essential in performing effective decision making.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661712","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 new fuzzy approach to brain tumor segmentation 一种新的模糊脑肿瘤分割方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584178
N. Castillo, E. Montseny, P. Sobrevilla
{"title":"A new fuzzy approach to brain tumor segmentation","authors":"N. Castillo, E. Montseny, P. Sobrevilla","doi":"10.1109/FUZZY.2010.5584178","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584178","url":null,"abstract":"In this paper we present a fully automatic and unsupervised brain tumor segmentation method which considers human knowledge. The expert knowledge and the features derived from the MR images are coupled to define heuristic rules aimed to the design of the fuzzy approach. To assess the unsupervised and fully automatic segmentation, intensity-based objective measures are defined, and a new method for obtaining membership functions to suit the MRI data is introduced. The proposed approach is quantitatively comparable to the most accurate existing methods, even though the segmentation is done in 2D.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129678608","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: 31
Localization of human based on fuzzy spiking neural network in informationally structured space 基于模糊脉冲神经网络的信息结构化空间中人的定位
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584882
N. Kubota, Dalai Tang, T. Obo, S. Wakisaka
{"title":"Localization of human based on fuzzy spiking neural network in informationally structured space","authors":"N. Kubota, Dalai Tang, T. Obo, S. Wakisaka","doi":"10.1109/FUZZY.2010.5584882","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584882","url":null,"abstract":"This paper proposes a human localization method in informationally structured space based on sensor network First, we explain informationally structured space, robot partners, and sensor networks developed in this study. Next, we apply a fuzzy spiking neural network to extract a person from the measured data by the sensor network. Furthermore, we propose a learning method of fuzzy spiking neural network based on the time series of measured data. Finally, we discuss the effectiveness of the proposed methods through experimental results in a living room.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123934011","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: 42
Fuzzy word similarity: A semantic approach using WordNet 模糊词相似度:使用WordNet的语义方法
International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584785
S. Manna, B. Sumudu U. Mendis
{"title":"Fuzzy word similarity: A semantic approach using WordNet","authors":"S. Manna, B. Sumudu U. Mendis","doi":"10.1109/FUZZY.2010.5584785","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584785","url":null,"abstract":"In this paper we present a hybrid measure of semantic word similarity using fuzzy inference system which combines both the corpus based distance measures as well as gloss overlap to get the final similarity between two words. We use WordNet as a lexical dictionary to get semantic information about words. We show that this new measure reasonably correlates to human judgments and the average performance is boosted by using triangular membership function in the output.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985647","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: 11
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