Information Sciences - Applications最新文献_第5页

A general model for statistical analysis using fuzzy sets: Sufficient conditions for identifiability and statistical properties 用模糊集进行统计分析的一般模型:可辨识性和统计性质的充分条件

Information Sciences - Applications Pub Date : 1994-05-01 DOI: 10.1016/1069-0115(94)90007-8

Max A. Woodbury, Kenneth G. Manton, H.Dennis Tolley

{"title":"A general model for statistical analysis using fuzzy sets: Sufficient conditions for identifiability and statistical properties","authors":"Max A. Woodbury, Kenneth G. Manton, H.Dennis Tolley","doi":"10.1016/1069-0115(94)90007-8","DOIUrl":"10.1016/1069-0115(94)90007-8","url":null,"abstract":"<div><p>Fuzzy sets and fuzzy state modeling require modifications of fundamental principles of statistical estimation and inference. These modifications trade increased computational effort for greater generality of data representation. For example, multivariate discrete response data of high (but finite) dimensionality present the problem of analyzing large numbers of cells with low event counts due to finite sample size. It would be useful to have a model based on an invariant metric to represent such data parsimoniously with a latent “smoothed” or low dimensional parametric structure. Determining the parameterization of such a model is difficult since multivariate normality (i.e., that all significant information is represented in the second order moments matrix), an assumption often used in fitting the most common types of latent variable models, is not appropriate. We present a fuzzy set model to analyze high dimensional categorical data where a metric for grades of membership in fuzzy sets is determined by latent convex sets, within which moments up to order <em>J</em> of a discrete distribution can be represented. The model, based on a fuzzy set parameterization, can be shown, using theorems on convex polytopes [1], to be dependent on only the enclosing linear space of the convex set. It is otherwise measure invariant. We discuss the geometry of the model's parameter space, the relation of the convex structure of model parameters to the dual nature of the case and variable spaces, how that duality relates to describing fuzzy set spaces, and modified principles of estimation.</p></div>","PeriodicalId":100668,"journal":{"name":"Information Sciences - Applications","volume":"1 3","pages":"Pages 149-180"},"PeriodicalIF":0.0,"publicationDate":"1994-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1069-0115(94)90007-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87709135","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

On fragmentation approaches for distributed database design 分布式数据库设计中的碎片化方法

Information Sciences - Applications Pub Date : 1994-05-01 DOI: 10.1016/1069-0115(94)90005-1

Yanchun Zhang, Maria E. Orlowska

引用次数: 34

Performance of an optimal subset of Zernike features for pattern classification 模式分类中Zernike特征的最优子集的性能

Information Sciences - Applications Pub Date : 1994-05-01 DOI: 10.1016/1069-0115(94)90006-X

P. Raveendran, Sigeru Omatu

{"title":"Performance of an optimal subset of Zernike features for pattern classification","authors":"P. Raveendran, Sigeru Omatu","doi":"10.1016/1069-0115(94)90006-X","DOIUrl":"10.1016/1069-0115(94)90006-X","url":null,"abstract":"<div><p>This paper presents a technique of selecting an optimal number of features from the original set of features. Due to the large number of features considered, it is computationally more efficient to select a subset of features that can discriminate as well as the original set. The subset of features is determined using stepwise discriminant analysis. The results of using such a scheme to classify scaled, rotated, and translated binary images and also images that have been perturbed with random noise are reported. The features used in this study are Zernike moments, which are the mapping of the image onto a set of complex orthogonal polynomials. The performance of using a subset is examined through its comparison to the original set.</p><p>The classifiers used in this study are neural network and a statistical nearest neighbor classifier. The back-propagation learning algorithm is used in training the neural network. The classifers are trained with some noiseless images and are tested with the remaining data set. When an optimal subset of features is used, the classifers performed almost as well as when trained with the original set of features.</p></div>","PeriodicalId":100668,"journal":{"name":"Information Sciences - Applications","volume":"1 3","pages":"Pages 133-147"},"PeriodicalIF":0.0,"publicationDate":"1994-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1069-0115(94)90006-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75036232","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: 7

Freeway traffic control using fuzzy logic controllers 高速公路交通控制的模糊逻辑控制器

Information Sciences - Applications Pub Date : 1994-03-01 DOI: 10.1016/1069-0115(94)90008-6

C.Y. Ngo, Victor O.K. Li

引用次数: 10

Classification of landsat remote sensing images by a fuzzy unsupervised clustering algorithm 基于模糊无监督聚类算法的陆地卫星遥感图像分类

Information Sciences - Applications Pub Date : 1994-03-01 DOI: 10.1016/1069-0115(94)90010-8

Frank Y. Shih, Gwotsong P. Chen

引用次数: 0

Fuzzy subfiber and its application to seismic lithology classification 模糊亚纤维及其在地震岩性分类中的应用

Information Sciences - Applications Pub Date : 1994-03-01 DOI: 10.1016/1069-0115(94)90009-4

Li Chen, Heng-da Cheng, Jianping Zhang

引用次数: 42

Reasoning on domain knowledge level in human-computer interaction 基于领域知识层次的人机交互推理

Information Sciences - Applications Pub Date : 1994-01-01 DOI: 10.1016/1069-0115(94)90018-3

Chaochang Chiu, Anthony F. Norcio, Chi-I Hsu

引用次数: 0

Neural expert system using fuzzy teaching input and its application to medical diagnosis 模糊教学输入神经专家系统及其在医学诊断中的应用

Information Sciences - Applications Pub Date : 1994-01-01 DOI: 10.1016/1069-0115(94)90019-1

Yoichi Hayashi

引用次数: 0

A hardware digital fuzzy inference engine using standard integrated circuits 采用标准集成电路的硬件数字模糊推理引擎

Information Sciences - Applications Pub Date : 1994-01-01 DOI: 10.1016/1069-0115(94)90016-7

Sujal M. Shah, Ralph Horvath

引用次数: 0

Individualizing user interfaces: Application of the Grade of Membership (GoM) model for development of fuzzy user classes 个性化用户界面:应用GoM模型开发模糊用户类

Information Sciences - Applications Pub Date : 1994-01-01 DOI: 10.1016/1069-0115(94)90017-5

Keith C. Mitchell, Max A. Woodbury, Anthony F. Norcio

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引用次数: 0