22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003最新文献_第9页

Mathematical analysis of similarity index and connectivity index in fuzzy graph 模糊图中相似度和连通性指标的数学分析

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226759

H. Uesu, E. Tsuda, H. Yamashita

引用次数: 1

Simulation and analysis of fuzzy-parameterized models with the extended transformation method 应用扩展变换方法对模糊参数化模型进行仿真分析

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226829

M. Hanss

{"title":"Simulation and analysis of fuzzy-parameterized models with the extended transformation method","authors":"M. Hanss","doi":"10.1109/NAFIPS.2003.1226829","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226829","url":null,"abstract":"The transformation method has been proposed as a practical tool for the simulation and the analysis of systems with uncertain, fuzzy-valued model parameters using fuzzy arithmetic. Up to now, this method has been available in two forms: in a general form, which can be used for the simulation and the analysis of arbitrarily non-monotonic problems, and in a reduced form, which reduces the computational costs of the method to a large extent, requiring, instead, some additional conditions to be fulfilled. In this paper, the extended transformation method will be introduced as an advanced version of the previously presented formulations of the transformation method. This extended version includes the former versions as marginal cases and allows a pre-adjustment of the method, subject to the number of model parameters that are expected to cause non-monotonic behavior of the model output. Finally, to set up the method properly, a novel approach, again based on the transformation method, is presented to practically detect those parameters that are responsible for a non-monotonic behavior of the model output.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"19 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":"132971997","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

Rough sets used in the measurement of similarity of mixed mode data 粗糙集在混合模式数据相似度度量中的应用

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226781

S. Coppock, L. Mazlack

引用次数: 8

Similarity from conceptual relations 概念关系的相似性

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226777

T. Andreasen, H. Bulskov, R. Knappe

{"title":"Similarity from conceptual relations","authors":"T. Andreasen, H. Bulskov, R. Knappe","doi":"10.1109/NAFIPS.2003.1226777","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226777","url":null,"abstract":"The main focus of this paper is how to measure similarity in a content-based information retrieval environment. In the first part we define the information base, which is a generative framework where an ontology in combination with a concept language defines a set of well-formed concepts. Well-formed concepts is assumed to be the basis for an indexing of the information base in the sense that these concepts appear in descriptions attached to objects in the base. Subsequent and last we introduce an approach for measuring similarity in this framework. The measuring problem is divided into to continuous parts where we first narrow what concepts have in common, and secondly use this fragment, a similarity graph, for calculating the similarity between concepts. The purpose of narrowing or restricting what concepts have in common is to manage the generative aspect of the ontology, and to retain the greatest possible number of shared attributes and characteristics of the concepts being compared. Taking the similarity graphs as input we discuss what properties a similarity function need to satisfy to measure the degree of similarity proportional to how close the concepts are or how much they share.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"18 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":"125228974","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: 15

Evolving fuzzy controllers through evolutionary programming 基于进化规划的模糊控制器进化

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226754

Darius Makaitis

引用次数: 3

Fuzzy gain scheduling for flutter suppression in unmanned aerial vehicles 无人机颤振抑制的模糊增益调度

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226805

Dr. Ellen Applebaum

引用次数: 4

A systematic fuzzy modeling for scheduling of textile manufacturing system 纺织制造系统调度的系统模糊建模

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226811

M. Zarandi, M. Esmaeilian

{"title":"A systematic fuzzy modeling for scheduling of textile manufacturing system","authors":"M. Zarandi, M. Esmaeilian","doi":"10.1109/NAFIPS.2003.1226811","DOIUrl":"https://doi.org/10.1109/NAFIPS.2003.1226811","url":null,"abstract":"This paper presents a fuzzy expert system for Textile manufacturing system using fuzzy cluster analysis. The proposed approach consists of two phases. The first phase is developed with an unsupervised learning and involves a baseline design to effectively identify a prototype fuzzy system. At this phase, a cluster analysis approach is implemented. For the aim of determination of the optimal values of clustering parameters, i.e., weighting exponent (m), and the number of clusters (c), Genetic Algorithms are used. At the second phase, fine tuning process is done to adjust the parameters identified in the baseline design, subject to supervised learning. This phase is realized by using approximate reasoning module. Approximate reasoning parameters are also optimized, using GAs. Finally, the proposed approach is validated by applying it to scheduling system of a Textile industry and comparing the results with a Sugeno-type fuzzy system modeling that uses subtractive clustering in its structure identification stage. The results show that the proposed fuzzy system better represents the behaviour of the complex systems, such as Textile industries.","PeriodicalId":153530,"journal":{"name":"22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003","volume":"34 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":"128963657","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

Detecting possibility of complications of diseases using rough set based granulation 基于粗糙集的肉芽学检测疾病并发症的可能性

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226794

S. Tsumoto

引用次数: 0

Classification of substation single-line diagrams based on fuzzy systems 基于模糊系统的变电站单线图分类

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226800

D. Ferrari, G. da Cruz

引用次数: 1

Information matrix and image compression 信息矩阵与图像压缩

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI: 10.1109/NAFIPS.2003.1226769

Chongfu Huang

引用次数: 0