NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society最新文献_第5页

Type-2 Intervals of Constant Height 2型固定高度间隔

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383902

C. Walker, E. Walker

引用次数: 3

REXWERE: A tool for fuzzy Rule EXtraction in WEb REcommendation REXWERE: WEb推荐中的模糊规则提取工具

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383824

G. Castellano, A. Fanelli, M. Torsello

引用次数: 2

An Approach to Improve Practical Application of Fuzzy Measures in Multicriteria Decision Making 一种改进模糊测度在多准则决策中的实际应用的方法

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383841

Amol S. Wagholikar

引用次数: 2

An Efficient Image Retrieval Model Using Fuzzy Semantic Concepts 基于模糊语义概念的高效图像检索模型

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383842

Tsun-Wei Chang, Yo-Ping Huang, F. Sandnes

引用次数: 0

Modern Data Visualization for Air Traffic Management 空中交通管理的现代数据可视化

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383804

F. Rehm, F. Klawonn, G. Ruß, R. Kruse

引用次数: 6

Learning to Detect the Onset of Disease in Cattle from Feedlot Watering Behavior 学习从饲养场浇水行为中检测牛疾病的发作

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383821

S. Dick, C. Bracho

引用次数: 4

Dissent based K-System Analysis 基于异议的k系统分析

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383848

M. J. Wierman, J. Tastle

引用次数: 0

Fuzzy Parking Manoeuvres of Wheeled Mobile Robots 轮式移动机器人的模糊泊车策略

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383811

A. Khoukhi, L. Baron, M. Balazinski

引用次数: 6

Mining Coronal Loops in Solar Images from the SOHO collection 从SOHO收集的太阳图像中挖掘日冕环

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383893

N. Durak, O. Nasraoui, J. Gomez, F. Gonzalez, H. Elgazzar, S. Sellah, C. Rojas, J. Schmelz, J. Roames, K. Nasraoui

{"title":"Mining Coronal Loops in Solar Images from the SOHO collection","authors":"N. Durak, O. Nasraoui, J. Gomez, F. Gonzalez, H. Elgazzar, S. Sellah, C. Rojas, J. Schmelz, J. Roames, K. Nasraoui","doi":"10.1109/NAFIPS.2007.383893","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383893","url":null,"abstract":"We present our preliminary findings as part of a new data mining application aiming at the automatic detection of images with coronal loops from one of NASA's solar image databases, known as EIT. Coronal loops are immense arches of hot gas on the surface of the Sun, thought to be jets of hot plasma flowing along in the alleys between the strong coronal magnetic fields. We use various data mining techniques including combining crisp and fuzzy classifiers for automated detection of blocks extracted from EIT solar images. Our data mining and retrieval system helps provide relevant data to astrophysicists who need such data to study the solar corona, and whose work is traditionally hindered by the need to manually sift through thousands of images in order to locate the very few that are useful for further analysis. Our data-driven approach is distinct from related image processing based approaches that cannot scale to large image databases because they rely mostly on semi-automated detection and on heavy and computationally intensive local shape analysis.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123228850","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

On Probability of Making a Given Decision: A Theoretically Justified Transition From Interval to Fuzzy Uncertainty 给定决策的概率:从区间不确定性到模糊不确定性的理论证明

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383896

V. Huynh, Y. Nakamori, François Modave

{"title":"On Probability of Making a Given Decision: A Theoretically Justified Transition From Interval to Fuzzy Uncertainty","authors":"V. Huynh, Y. Nakamori, François Modave","doi":"10.1109/NAFIPS.2007.383896","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383896","url":null,"abstract":"In practice, it is often necessary to make a decision under uncertainty. In the case of interval uncertainty, for each alternative i, instead of the exact value vi of the objective function, we only have an interval vi = [vi-,vi-.] of possible values. In this case, it is reasonable to assume that each value vi is uniformly distributed on the corresponding interval [vi-,vi-.], and to take the probability that Vi is the largest as the probability of selecting the i-th alternative. In some practical situations, we have fuzzy uncertainty, i.e., for every alternative i, we have a fuzzy number Vi describing the value of the objective function. Then, for every degree i, we have an interval Vi(alpha), the a-cut of the corresponding fuzzy number. For each alpha, we can assume the uniform distributions on the corresponding alpha-cuts and get a probability Pi(alpha) that vi will be selected for this alpha. From the practical viewpoint, it is desirable to combine these probabilities into a single probability corresponding to fuzzy uncertainty. In deriving the appropriate combination, we use the fact that fuzzy values are not uniquely defined, different procedures can lead to differently scaled values. It turns out that the only scaling-invariant distribution on the set of all the degrees alpha is a uniform distribution. So, we justify the choice of int Pi(alpha) dalpha as the probability that under fuzzy uncertainty, an alternative i will be selected.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376751","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