NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society最新文献_第10页

A hybrid learning algorithm for Interval Type-2 Fuzzy Neural Networks in time series prediction for the case of air pollution 区间2型模糊神经网络在空气污染时间序列预测中的混合学习算法

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531338

J. R. Castro, O. Castillo, P. Melin, Antonio Rodríguez-Díaz

引用次数: 14

Possibilistic risk assessment 可能性风险评估

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531222

T. Whalen, C. Brønn

引用次数: 4

Deriving analytical structure of a type-2 fuzzy PD/PI controller 推导了一类2型模糊PD/PI控制器的解析结构

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531204

Xinyu Du, H. Ying

{"title":"Deriving analytical structure of a type-2 fuzzy PD/PI controller","authors":"Xinyu Du, H. Ying","doi":"10.1109/NAFIPS.2008.4531204","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531204","url":null,"abstract":"In the past several years, research results on type- 2 fuzzy control have started to emerge in the literature. None of them, however, are concerned with mathematical input-output relationship of a type-2 fuzzy controller. Establishing such relationship is important as it will deepen our understanding of type- 2 fuzzy controller structures, how they function, and their advantages and drawbacks as compared to type-1 fuzzy controllers and conventional controllers (e.g., the PID controller). The availability of such structure will also lay a foundation for more rigorous theoretical analysis and design of type-2 fuzzy control systems. In this paper, we derive the mathematical input-output relation of a type-2 fuzzy PD (or PI) controller that has one of the simplest possible configurations - only two interval type-2 fuzzy sets for each input variables, four fuzzy rules with Zadeh AND operator, and four interval type-2 output fuzzy sets. We relate the resulting structure to conventional control theory and show that it actually is a PD (or PI) controller with the proportional and derivative (or integral) gains changing as the input variable values vary.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125205053","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

Aided image understanding system 辅助图像理解系统

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531266

A. del Amo, M. Farmer

{"title":"Aided image understanding system","authors":"A. del Amo, M. Farmer","doi":"10.1109/NAFIPS.2008.4531266","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531266","url":null,"abstract":"Tools for automatic image understanding for damage assessment for environmental catastrophes or military operations are essential for managing operator workloads. The paper proposes a tool which integrates image segmentation and classification with the goal of providing accurate and timely information about the areas of study. Traditional methods involving image segmentation followed by classification have not lived up to their potential due to the inherent semantic gap between these two functions. Segmentation algorithms have been limited in their success in extracting objects of interest which in turn limits classification performance since the segmentation algorithm has no a priori knowledge of the objects in the image. Segmentation algorithms fail in one of two directions: (i) over-segmentation where the object of interest is divided into many smaller regions or (ii) under-segmentation where the object of interest is merged with irrelevant background information. Both problems can confound the classification process. The approach is demonstrated on aerial images from the Katrina disaster to be able to detect buildings that may have been damaged or displaced from their original positions.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287146","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: 3

Parametric design of stable type-2 TSK fuzzy systems 稳定2型TSK模糊系统的参数化设计

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531279

Mohammad Biglar Begian, William W. Melek, J. Mendel

引用次数: 54

Causality and clinical medicine: Using fuzzy measures for patient prediction and experimental design 因果关系与临床医学:使用模糊测量进行患者预测和实验设计

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531320

C. Helgason, T. Jobe

{"title":"Causality and clinical medicine: Using fuzzy measures for patient prediction and experimental design","authors":"C. Helgason, T. Jobe","doi":"10.1109/NAFIPS.2008.4531320","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531320","url":null,"abstract":"Background: Scientific medicine regards causality in terms of conditions of chance, and expressed in probabilities. The large double blind controlled randomized trial and Bayes' theorem are the foundation of Evidence Based Medicine. Evidence -Based Medicine has the purpose of bringing science to the bedside. Comparison between experimental subjects or real patients and the average patient of a group study requires uniform conditions.Probability theory satisfies this requirement. Methods: The fundamental concept of fuzzy subset hood and measure space of fuzzy theory allow for the comparison of subjects or patients without the requirement of uniform conditions. The fuzzy measure of breaking of symmetry of conditions, K, allows for measures of fuzzy similarity, comparison, prediction to be made between two fuzzy sets as points while accounting for different conditions. Results: Using the fuzzy measure of prediction , F Pred (A,B) , it is possible to precisely compare a clinical patient to the average patient of any large group study, and in addition, with fuzzy entropy it is possible to carry out experiments where test and control groups are compared. Conclusion: The scientific requirement of uniform conditions for each repetition of an experiment is no longer a necessity for the comparison of patients or groups of patients. This is because fuzzy measures of symmetry breaking and similarity can account for any difference between patients due to different conditions. Fuzzy entropy can then measure the difference between two groups of patients in the experimental setting.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117034875","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: 1

Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel’s algorithms from interval-valued to a more general case 面向处理二类模糊数据的快速算法:将孟德尔算法从区间值扩展到更一般的情况

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531281

V. Kreinovich, G. Xiang

{"title":"Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel’s algorithms from interval-valued to a more general case","authors":"V. Kreinovich, G. Xiang","doi":"10.1109/NAFIPS.2008.4531281","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531281","url":null,"abstract":"It is known that processing of data under general type-1 fuzzy uncertainty can be reduced to the simplest case - of interval uncertainty: namely, Zadeh's extension principle is equivalent to level-by-level interval computations applied to alpha- cuts of the corresponding fuzzy numbers. However, type-1 fuzzy numbers may not be the most adequate way of describing uncertainty, because they require that an expert can describe his or her degree of confidence in a statement by an exact value. In practice, it is more reasonable to expect that the expert estimates his or her degree by using imprecise words from natural language - which can be naturally formalized as fuzzy sets. The resulting type-2 fuzzy numbers more adequately represent the expert's opinions, but their practical use is limited by the seeming computational complexity of their use. In his recent research, J. Mendel has shown that for the practically important case of interval-valued fuzzy sets, processing such sets can also be reduced to interval computations. In this paper, we show that Mendel's idea can be naturally extended to arbitrary type-2 fuzzy numbers.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121658300","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

Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data 截尾数据试验总时间分布参数的模糊置信度估计

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531230

S. Cheng, J. Mordeson

{"title":"Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data","authors":"S. Cheng, J. Mordeson","doi":"10.1109/NAFIPS.2008.4531230","DOIUrl":"https://doi.org/10.1109/NAFIPS.2008.4531230","url":null,"abstract":"Data mining has captured the interest of researchers from many different as well as diverse fields of study such as data base systems, machine learning, statistics, cluster analysis, knowledge based systems. One of the major issues in data mining is the analysis of attribute relevance. The basic idea is to come up with a measure that can be effectively used to quantify the relevance of an attribute in identifying a class or a concept. One possible application is the total failure time of censored data. That is, the total time on test for censored data of a system with several components often plays an important role in the reliability theory. In some cases, all components of a system with several identical components may be put on test until an r-th smallest failure time occurs and the total time on test is subsequently calculated. The total time on test for censored data from exponentially distributed censored data has been proved to be an adequate statistic by Nair and Cheng in light of the works by Skibinsky, Cheng and Mordeson, and others. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. Fuzzy set theory was formalized by Zadeh. Some fuzzy statistical techniques can be found in (J. J. Buckley 2004, H. J. Zimmerma 1990). In this proposal, we are investigating the fuzzy estimation of the parameter of underlying probability distribution for total failure time of censored data.","PeriodicalId":430770,"journal":{"name":"NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122044205","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: 1

3D CMM strain-gauge triggering probe error characteristics modeling using fuzzy logic 基于模糊逻辑的三维三坐标测量机应变仪触发探头误差特性建模

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531237

S. Achiche, A. Woźniak, Z. Fan, M. Balazinski, L. Baron, T. Srensen

引用次数: 12

Hybrid neural-based guiding system for mobile robots 移动机器人的混合神经导向系统

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI: 10.1109/NAFIPS.2008.4531336

P. Sanchez, P. Melin, M. Lopez

引用次数: 2