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

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Set-Valued Extensions of Fuzzy Logic: Classification Theorems 模糊逻辑的集值扩展:分类定理
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383899
Gilbert Ornelas, V. Kreinovich
{"title":"Set-Valued Extensions of Fuzzy Logic: Classification Theorems","authors":"Gilbert Ornelas, V. Kreinovich","doi":"10.1109/NAFIPS.2007.383899","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383899","url":null,"abstract":"Experts are often not 100% confident in their statements. In traditional fuzzy logic, the expert's degree of confidence in each of his or her statements is described by a number from the interval [0,1]. However, due to similar uncertainty, an expert often cannot describe his or her degree by a single number. It is therefore reasonable to describe this degree by, e.g., a set of numbers. In this paper, we show that under reasonable conditions, the class of such sets coincides either with the class of all 1-point sets (i.e., with the traditional fuzzy set set of all numbers), or with the class of all subintervals of the interval [0,1], or with the class of all closed subsets of the interval [0,1]. Thus, if we want to go beyond standard fuzzy logic and still avoid sets of arbitrary complexity, we have to use intervals. These classification results shows the importance of interval-valued fuzzy logics.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"52 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":"116173120","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
About the Division Operator in a Possibilistic Database Framework 关于可能性数据库框架中的除法运算符
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383817
P. Bosc, N. I. Hssaien, O. Pivert
{"title":"About the Division Operator in a Possibilistic Database Framework","authors":"P. Bosc, N. I. Hssaien, O. Pivert","doi":"10.1109/NAFIPS.2007.383817","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383817","url":null,"abstract":"This paper is situated in the area of possibilistic databases. Any possibilistic database has a canonical interpretation as a set of more or less possible regular databases, also called worlds. In order to manipulate such databases in a safe and efficient way, a constrained framework has been previously proposed, where a restricted number of querying operations are permitted (selection, union, projection and foreign key join which may handle attributes taking imprecise values). The key for efficiency resides in the fact that these operators do not require to make computations explicitly over all the more or less possible worlds. The division operation is dealt with in this paper.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"133 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":"114684982","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
A Fast Structural Optimization Technique for IDS Modeling IDS建模的快速结构优化技术
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383838
M. Murakami, N. Honda
{"title":"A Fast Structural Optimization Technique for IDS Modeling","authors":"M. Murakami, N. Honda","doi":"10.1109/NAFIPS.2007.383838","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383838","url":null,"abstract":"The ink drop spread (IDS) method is a modeling technique that is proposed as a new paradigm of soft computing. In this method, the structure of models is determined by the partitioning of the input domain. In order to obtain a high-accuracy model, it is necessary to determine the optimal number of partitions, i.e., structural optimization must be performed. This paper proposes a structural optimization technique for IDS modeling. The IDS model comprises multiple processing units, each of which is a modeling engine that develops a feature of the target system in the form of an easily comprehensible image on a two-dimensional plane. The proposed technique performs structural optimization with a small number of searches by analyzing the image information generated in the processing units instead of evaluating the model error using validation data.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"233 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":"114716939","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: 9
Analysis of sampling methods in the learning process of ensemble neural networks 集成神经网络学习过程中采样方法的分析
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383909
M. Lopez, P. Melin
{"title":"Analysis of sampling methods in the learning process of ensemble neural networks","authors":"M. Lopez, P. Melin","doi":"10.1109/NAFIPS.2007.383909","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383909","url":null,"abstract":"When developing learning algorithms for ensemble neural networks it is of fundamental importance to use a sampling method. In this paper a comparative analysis is made, between a sampling data method based on the mean square error for the training of ensemble neural networks and cross validation sampling method.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"1 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":"130151982","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
Fuzzy PID Supervision for a Nonlinear, System: Design and Implementation 非线性系统的模糊PID控制:设计与实现
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383807
caiiii Riw
{"title":"Fuzzy PID Supervision for a Nonlinear, System: Design and Implementation","authors":"caiiii Riw","doi":"10.1109/NAFIPS.2007.383807","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383807","url":null,"abstract":"This paper presents an approach to design fuzzy supervisor for PID controllers used in the control of nonlinear systems. In the proposed approach, the design is based on an output performance criterion, namely a response with minimum settling time and without overshoot, whatever the operation conditions may be. The application used for a demonstration is a three-tank-system where the connection between the tanks and the leakage in each tank are simultaneously taken into account (MIMO system). According to the proposed approach, two fuzzy PI supervisors are designed in order to modify on-line the parameters of two PI controllers. The implementation of this type of control in the simulator of the three-tank-system model and in the laboratory installation using rapid protyping, confirms through the results that the output performances are reached whatever the set points, the configuration and the initial water levels in the three tanks may be.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"13 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":"131003837","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: 11
Fuzzy Multi-criteria Group Decision Support in Long-term Options of Belgian Energy Policy 比利时能源政策长期选择中的模糊多准则群体决策支持
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383890
D. Ruan, Jie Lu, E. Laes, Guangquan Zhang, F. Wu, F. Hardeman
{"title":"Fuzzy Multi-criteria Group Decision Support in Long-term Options of Belgian Energy Policy","authors":"D. Ruan, Jie Lu, E. Laes, Guangquan Zhang, F. Wu, F. Hardeman","doi":"10.1109/NAFIPS.2007.383890","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383890","url":null,"abstract":"Decision making requires multiple perspectives of different people as one single decision maker may have not enough knowledge to well solve a problem alone. This is particularly true when the decision environment becomes more complex. More organizational decisions are made now in groups than ever before. Group decision making is thus a process of arriving at a judgment or a solution for a decision problem based on the input and feedback of multiple individuals. At the same time in practice, multi-criteria problems at tactical and strategic levels often involve fuzziness in their criteria and decision makers' judgments. Relevant alternatives are evaluated according to a number of criteria. Fuzzy logic based multi-criteria group decision support is justified to analysis long-term options for Belgian energy policy in this paper.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"40 6 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":"130043358","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: 9
A Neural Fuzzy System for Soft Computing 用于软计算的神经模糊系统
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383889
O. Ciftcioglu, M. Bittermann, I. Sariyildiz
{"title":"A Neural Fuzzy System for Soft Computing","authors":"O. Ciftcioglu, M. Bittermann, I. Sariyildiz","doi":"10.1109/NAFIPS.2007.383889","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383889","url":null,"abstract":"An innovative neural fuzzy system is considered for soft computing in design. A neural tree structure is considered with nodes of neuronal type, where Gaussian function plays the role of membership function. The total tree structure effectively works as a fuzzy logic system having system inputs and outputs. In the system, as result of special provisions, the locations of the Gaussian membership functions of non-terminal nodes happen to be unity, so that the system has several desirable features; it represents a fuzzy model maintaining the transparency and effectiveness while dealing with complexity. The research is described in detail and its outstanding merits are pointed out in a framework having transparent fuzzy modeling properties and addressing complexity issues at the same time. A demonstrative application of the model is presented from a demonstrative simple architectural design exercise and the favorable performance for similar applications is highlighted.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"6 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120812216","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: 25
Generating a Fuzzy Logic System from Optimized Numerical Models 从优化的数值模型生成模糊逻辑系统
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383882
S. Ari, H. Khalifa, J. Dannenhoffer, P. Wilcoxen, C. Isik
{"title":"Generating a Fuzzy Logic System from Optimized Numerical Models","authors":"S. Ari, H. Khalifa, J. Dannenhoffer, P. Wilcoxen, C. Isik","doi":"10.1109/NAFIPS.2007.383882","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383882","url":null,"abstract":"This paper presents a novel approach to the optimization of a system using soft computing. In many instances optimum solutions to complex problems can be calculated using analytic or numeric approaches, but with significant barriers for practical use, such as computational complexity, sensitivity to parameter variations, and necessity to use many measured variables. In this study, a traditional optimization method is used to calculate off-line optimum solutions to an indoor environmental control problem at numerous operating points. These solutions are, in turn, used as exemplars to train an intelligent system such as a fuzzy logic system or a neural network, resulting in a control system whose behavior exhibits the desirable features of the family of optimum solutions. It has been shown that this methodology (named modeled optimized system -MOS) results in a controller for an indoor environmental system, which improves occupant satisfaction, saves energy, and can be implemented in a practical fashion.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"135 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":"123282847","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
Distributed, Collaborative Intelligent Agents for Proactive Post-Marketing Drug Safety Surveillance 面向上市后药品安全监测的分布式协作智能代理
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383829
Yanqing Ji, H. Ying, M.S. Farber, J. Yen, P. Dews, R. E. Miller, R. Massanari
{"title":"Distributed, Collaborative Intelligent Agents for Proactive Post-Marketing Drug Safety Surveillance","authors":"Yanqing Ji, H. Ying, M.S. Farber, J. Yen, P. Dews, R. E. Miller, R. Massanari","doi":"10.1109/NAFIPS.2007.383829","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383829","url":null,"abstract":"Healthcare systems and insurers nationwide regularly make decisions regarding which drugs to include or exclude from their formularies based on evidence concerning benefits, risks, and costs of the medications. A major barrier to effective drug selection is the lack of sufficient published information on the safety of drugs, particularly new drugs. In this paper, we propose an innovative multi-agent system, named ADRMonitor, for actively monitoring and detecting signal pairs implicating anticipated or potential adverse drug reactions (ADRs) of interest at a healthcare facility. Each intelligent agent is empowered by a fuzzy logic-based computational recognition-primed decision (RPD) model where fuzzy logic is utilized to represent, interpret, and compute vague and/or subjective information. We conducted a simulation study based on thousands of hypothetical patient cases that were created on the basis of real patients who were prescribed the drug Cisapride in a local hospital. At the current stage, our focus is to establish that the system can outperform the spontaneous reporting approach in identifying signal pairs. Under certain conditions (e.g., without agent collaboration), our simulation results show that (1) ADRMonitor detected 21 out of 27 (78%) ADRs when the optimized RPD model was used as a gold standard; (2) the number of ADRs detected by the agents is (many) more than those detected by the spontaneous reporting strategy (assuming 10% reporting rate - high end of rates reported in the literature) at any particular time. The second result implies that useful information could be collected more timely by the proposed agent system for formulary decisions.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"33 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":"124623863","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
Study of Two Control Strategies Based in Fuzzy Logic and Artificial Neural Network Compared with an Optimal Control Strategy Applied to a Buck Converter 基于模糊逻辑和人工神经网络的两种控制策略与Buck变换器最优控制策略的比较研究
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2007-06-24 DOI: 10.1109/NAFIPS.2007.383857
N. Díaz, J. Soriano
{"title":"Study of Two Control Strategies Based in Fuzzy Logic and Artificial Neural Network Compared with an Optimal Control Strategy Applied to a Buck Converter","authors":"N. Díaz, J. Soriano","doi":"10.1109/NAFIPS.2007.383857","DOIUrl":"https://doi.org/10.1109/NAFIPS.2007.383857","url":null,"abstract":"The dc-dc converters are highly efficient tools used to supply power to different systems, they have a nonlinear behavior and variations at their main parameters could affect their stability. This document studies and compares different control strategies, linear and non linear controllers applied to a Buck converter. There are mainly three control strategies treated in this paper. First an optimal control based design, by employing The quadratic performance index (QPI) is used, second a knowledge based fuzzy control is studied and third an artificial neural network (ANN) as a dynamic emulator of the fuzzy control is proposed. Some comparisons about the systems composed by the plant and a controller, in variation of a few plant parameters were made; in addition the computational time in simulation is compared between the two intelligent controllers.","PeriodicalId":292853,"journal":{"name":"NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society","volume":"294 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":"124222135","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: 21
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