22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003最新文献

Fault detection and diagnosis in turbine engines using fuzzy logic 基于模糊逻辑的涡轮发动机故障检测与诊断

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226808

D. Gayme, S. Menon, C. Ball, D. Mukavetz, E. Nwadiogbu

引用次数: 25

Fuzzy-rough nearest-neighbor classification approach 模糊粗糙最近邻分类方法

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226836

Haiyun Bian, Lawrence J. Mazlack

引用次数: 62

Fuzzy systems as a fusion framework for describing nonlinear flow in porous media 模糊系统作为描述多孔介质非线性流动的融合框架

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226816

A. Nazemi, M. Akbarzadeh-T., S. Hosseini

{"title":"Fuzzy systems as a fusion framework for describing nonlinear flow in porous media","authors":"A. Nazemi, M. Akbarzadeh-T., S. Hosseini","doi":"10.1109/NAFIPS.2003.1226816","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226816","url":null,"abstract":"By increasing the velocity of flow in coarse grain materials, local turbulences are often imposed to the flow. As a result, the flow regime through rockfill structures deviates from linear Darcy law; and nonlinear or non-Darcy flow equations will be applicable. Even though the structures of these nonlinear equations have some physical justifications, they still need empirical studies to estimate parameters of these equations. Hence there is a great deal of uncertainty as an inherent part of the estimation process. In this paper we investigate fuzzy systems paradigm to combine three of the most commonly validated and utilized empirical solutions in the current literature. In this way, the results of the three empirical equations serve as inputs, and the combination framework serve as fusion algorithm. The results show that when learning injected to fuzzy logic based models, the system provides a powerful solution with a strong ability to track reality. Specifically, this paper concludes that ANFIS provide accurate combination framework with greatest performance among the considered conventional alternatives as well as Mamdani structures.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316332","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

On the equivalence of a RBF-like network to TS fuzzy systems: a GA approach for TS-network 类rbf网络与TS模糊系统的等价性:TS网络的遗传算法

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226755

O. Ciftcioglu

引用次数: 2

Observing web users: conjecturing and refutation on partial evidence 观察网络用户:对部分证据进行推测和反驳

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226841

M. Sicilia

引用次数: 12

Identification of fuzzy controller for rapid Nickel-Cadmium batteries charger through fuzzy c-means clustering algorithm 基于模糊c均值聚类算法的镍镉电池快速充电器模糊控制器辨识

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226842

A. Khosla, S. Kumar, K. K. Aggarwal

{"title":"Identification of fuzzy controller for rapid Nickel-Cadmium batteries charger through fuzzy c-means clustering algorithm","authors":"A. Khosla, S. Kumar, K. K. Aggarwal","doi":"10.1109/NAFIPS.2003.1226842","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226842","url":null,"abstract":"This paper presents the identification of fuzzy controller for rapid Nickel-Cadmium (Ni-Cd) batteries charger by applying fuzzy c-means (FCM) clustering algorithm on the input-output training data. The identification of fuzzy model using input-output data consists of two parts: structure identification and parameter estimation. Structure identification involves the determination of antecedent and consequent variables and in parameter estimation step, antecedents' membership functions and rule consequents are determined. Fuzzy clustering is used to partition the training data into regions that leads to creation of local linear models expressed by fuzzy rules. The data for the batteries charger has been obtained through experimentation with an objective to charge the batteries as fast as possible. For the premise part identification, the input space is partitioned by FCM clustering and the consequent parameters for each rule are calculated as least-square estimate. The Takagi-Sugeno-Kang (TSK) model obtained through FCM clustering algorithm is further fine tuned through hybrid learning.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178734","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

Hierarchical intelligent control of modular manipulators Part B: Reconfigurability and experimental validation 模块化机械臂的层次智能控制。第二部分:可重构性与实验验证

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226803

W. W. Melek, A. Goldenberg

引用次数: 0

A new method for fuzzy inference in intuitionistic fuzzy systems 直觉模糊系统中一种新的模糊推理方法

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226749

O. Castillo, P. Melin

引用次数: 25

How the number of measured dimensions affects fuzzy causal measures of vitamin therapy for hyperhomocysteinemia in stroke patients 测量维度的数量如何影响中风患者高同型半胱氨酸血症维生素治疗的模糊因果测量

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226785

C. Helgason, T. Jobe

{"title":"How the number of measured dimensions affects fuzzy causal measures of vitamin therapy for hyperhomocysteinemia in stroke patients","authors":"C. Helgason, T. Jobe","doi":"10.1109/NAFIPS.2003.1226785","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226785","url":null,"abstract":"As a natural sequel to our investigations in the application of the fuzzy model to clinical stroke diagnosis and treatment, we have developed direct measures of causality sensitive to initial conditions of the individual patient with stroke and are based on the fuzzy measure M of cardinality and the fuzzy subsethood theorem defined Kosko. In this paper we show and measure the effect of a previously un-represented element (dimension) on our causal clinical efficiency measure K sensitive to unique initial and final conditions. We show this by adding the new element to the patient as fuzzy set. Again, our causal measures are based on the same measure of fuzzy cardinality M and the fuzzy subsethood theorem. The definition of causal measures for Formal Causal Ground (FCG), Clinical Causal Effect (CCE) and K can be found. Two separate measures for K are calculated. The clinical efficiency of Foltx when the genetic mutation is included as information in the patient fuzzy set, and when it is not. The effect of the addition of elemental information as variable in the patient's fuzzy set is discussed.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115262218","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

Sparse data and rule base completion 稀疏数据和规则库完成

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226760

V. Cross, T. Sudkamp

引用次数: 5