18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)最新文献_第8页

Efficient segmentation of degraded images by a neuro-fuzzy classifier 神经模糊分类器对退化图像的有效分割

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781747

R. Castellanos, S. Mitra

{"title":"Efficient segmentation of degraded images by a neuro-fuzzy classifier","authors":"R. Castellanos, S. Mitra","doi":"10.1109/NAFIPS.1999.781747","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781747","url":null,"abstract":"The segmentation of degraded images has always been a difficult problem to solve. Efficient object extraction from noisy images can be achieved by neuro-fuzzy clustering algorithms where noise pixels are identified during the clustering process and assigned low weights to avoid their degradation effect on prototype validity. We present a new approach to noise reduction prior to segmentation by using a two-step process named the AFLC-median process. This new two-step process has been specifically tailored to remove speckle noise. The first step is to use an AFLC (adaptive fuzzy leader clustering) network that has been designed to follow leader clustering using a hybrid neuro-fuzzy model developed by integrating a modified ART-1 model with fuzzy c-means (FCM). This integration provides a powerful, yet fast method for recognizing embedded data structure. In speckled imagery, AFLC is used to isolate the speckle noise pixels by segmenting the image into several clusters controlled by a vigilance parameter. Once the speckles have been identified, a median filter is used, centered on each speckle noise pixel. The resulting image, after undergoing the AFLC-median process, demonstrates a reduction in speckle noise whilst retaining sharp edges for improved segmentation.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127378017","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 control of a biotechnology process 生物技术过程的模糊控制

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781776

E. Gamero-Inda, J. Flores-Morfin

引用次数: 1

Providing support for multiple collection types in a fuzzy object oriented spatial data model 在面向模糊对象的空间数据模型中提供对多种集合类型的支持

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781809

A. Morris, James Foster, F. Petry

引用次数: 8

On non-contradictory input/output couples in Zadeh's CRI 论Zadeh的CRI中的非矛盾输入/输出对

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781646

E. Trillas, S. Cubillo

{"title":"On non-contradictory input/output couples in Zadeh's CRI","authors":"E. Trillas, S. Cubillo","doi":"10.1109/NAFIPS.1999.781646","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781646","url":null,"abstract":"Deals with the logically unpleasant problem of reaching outputs that are contradictory with the corresponding inputs, using the compositional rule of inference (CRI). This is a situation that is common in some applications; for example, when Mandani's well-known conditional is used. For the goal of presenting some criteria to ensure that non-contradictory outputs are obtained effectively, two definitions of contradiction in fuzzy set theory are introduced and studied, as well as its relationship with the concept of incompatibility. These are two concepts that are equivalent within crisp sets but not always within fuzzy sets. For example, in classical set theory, there is only one self-contradictory object, namely the empty set, but this is not the case for any theory [F(E),N,T,S] of fuzzy sets. It is shown that, under some conditions on the values of the fuzzy conditional relation, the output given by the CRI is not contradictory with the input, provided that this is a normal fuzzy set. In particular, the case in which the conditional relation is a T-fuzzy pre-order is considered. Each section of the paper contains elementary examples.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129305641","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: 22

Fuzzy dynamic programming: theory and applications to decision and control 模糊动态规划:理论及其在决策与控制中的应用

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781644

A. Esogbue

引用次数: 6

From neural to wavelet network 从神经网络到小波网络

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781823

O. Ciftcioglu

引用次数: 13

Fuzzy ontologies for multilingual document exploitation 多语言文档开发的模糊本体

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781721

V. Cross, Clare R. Voss

引用次数: 18

Extracting fuzzy symbolic representation from artificial neural networks 从人工神经网络中提取模糊符号表示

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781764

M. Faifer, C. Janikow, K. Krawiec

引用次数: 5

Applying the new implication operator to professional judgement in risk assessment 新隐含算子在风险评估专业判断中的应用

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781795

J. Daams, L. Strobel Stewart

{"title":"Applying the new implication operator to professional judgement in risk assessment","authors":"J. Daams, L. Strobel Stewart","doi":"10.1109/NAFIPS.1999.781795","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781795","url":null,"abstract":"The article describes a novel implication operator based on fuzzy entailment. Previously, (J. Daams, 1999) the operator was used for inference from a single rule and a single input. The paper describes how the operator would be used in an expert system. The operator is therefore extended to systems with multiple rules; to chained rules; to quantified rules; and to multidimensional input. If the rule set is incomplete, interpolation can be used, even when the rules are very sparse. By means of weighting or other manipulation of the multidimensional inputs, the new operator reproduces commonly used fuzzy logic techniques such as compensation. Missing rules and missing, dubious or contradictory inputs all broaden the envelope of plausible outcomes surrounding the interpolated conclusion, and reduce belief in this interpolated conclusion. The ability of the operator to calculate a plausible conclusion despite missing rules or data makes it suitable for process control and decision making. A software program customized for financial auditing is used to illustrate the practical aspects of the new fuzzy implication operator. The software mimics the informal reasoning which expert decision-makers use when exercising professional judgement, i.e., interpolating or extrapolating from sketchy, ambiguous, qualitative opinions, using a few experience based rules-of-thumb.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286376","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

Design of a proportional plus derivative neuro fuzzy controller 比例加导数神经模糊控制器的设计

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781819

K. Rattan, G.S. Sandhu

引用次数: 2