发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Relaxed fuzzy randomization 松弛模糊随机化
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781659
S. H. Rubin
{"title":"Relaxed fuzzy randomization","authors":"S. H. Rubin","doi":"10.1109/NAFIPS.1999.781659","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781659","url":null,"abstract":"This paper addresses the role of randomization in the solution of a constraint-satisfaction problem (CSP). It is argued that just as the use of heuristics permit the solution of more complex problems than would otherwise be possible, the relaxation of the optimality constraint carries two attendant benefits. First, among the class of NP-hard problems, relaxation permits the solution of otherwise intractable problems (e.g., the TSP). Second, relaxation permits the use of new types of parallel hardware (e.g., SLMs), which offer at least two orders of magnitude speedup. Combining these two improvements defines a new paradigm for soft computing, which we term, relaxed fuzzy randomization (RFR). The definition of RFR necessarily includes an overview of randomness and symmetry and their mutually inclusive roles in defining a different genre of fuzzy computation. This computational class can defy formal analysis in keeping with the dictates of Godel's incompleteness theorem. That is, it is argued that chance plays a greater role in the twin processes of search and knowledge acquisition than has been heretofore acclaimed. This paper represents an attempt to advance that cause.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"39 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":"128982843","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
SIRMS dynamically connected fuzzy inference model applied to stabilization control of inverted pendulum and cart systems SIRMS动态连接模糊推理模型应用于倒立摆和倒立车系统的镇定控制
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781798
J. Yi, N. Yubazaki, K. Hirota
{"title":"SIRMS dynamically connected fuzzy inference model applied to stabilization control of inverted pendulum and cart systems","authors":"J. Yi, N. Yubazaki, K. Hirota","doi":"10.1109/NAFIPS.1999.781798","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781798","url":null,"abstract":"A fuzzy controller for stabilizing inverted pendulum and cart systems is presented based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference modal. The controller has a simple structure, and can smoothly realize in parallel the pendulum angular control and the cart position control. For any inverted pendulum and cart system, of which the pendulum length is among [0.2 m, 2.2 m] the pendulum mass and the cart mass are separately larger than or equal to 0.001 kg and 0.002 kg, and the mass ratio of the pendulum to the cart is among [0.005; 0.500], the controller is proved to have a high generalization ability to stabilize the object completely in about 8.0 seconds.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"53 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933823","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
Induction of relational Fril rules 关系型规则的归纳
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781685
J. Baldwin, C. Hill, T. Martin
{"title":"Induction of relational Fril rules","authors":"J. Baldwin, C. Hill, T. Martin","doi":"10.1109/NAFIPS.1999.781685","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781685","url":null,"abstract":"We propose an, approach to extend inductive logic programming (ILP) to cater for uncertainties in the form of probabilities and fuzzy sets. A corresponding decision tree induction algorithm that induces Fril (a support logic programming language) classification. Rules involving both forms of uncertainties is also described. This algorithm iteratively builds decision trees where each decision tree consists of one branch. This branch is directly translated into Fril rules that explain a part of the problem. The work presented focuses on propositional representations for both the input data values and the learned models. The approach is illustrated on the Pima Indian dataset. Finally an overview of the current work is given which deals with improving the algorithm with a new method for the calculation of support pairs and also with a new, user-independent stopping criterion for adding literals to the body of a rule.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"8 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":"129116685","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 logic control of industrial heat treatment furnaces 工业热处理炉模糊逻辑控制
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781812
W. Sobol, M. Korwin, M. Gorączko, M. Balazinski
{"title":"Fuzzy logic control of industrial heat treatment furnaces","authors":"W. Sobol, M. Korwin, M. Gorączko, M. Balazinski","doi":"10.1109/NAFIPS.1999.781812","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781812","url":null,"abstract":"This paper presents the application of fuzzy logic to the control system for industrial heat treatment furnaces. A modified fuzzy decision support system has been developed to control the temperature in an industrial nitriding furnace. The results obtained using the fuzzy logic controller are very good. The system is fully automatic and maintains a very stable temperature control.","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":"117073871","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
Fuzzy control structures in multiple parameter systems: an application in handwritten address interpretation systems 多参数系统中的模糊控制结构:在手写地址解释系统中的应用
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781828
K. Inakiev, V. Govindaraju
{"title":"Fuzzy control structures in multiple parameter systems: an application in handwritten address interpretation systems","authors":"K. Inakiev, V. Govindaraju","doi":"10.1109/NAFIPS.1999.781828","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781828","url":null,"abstract":"Most practical software systems are a conglomerate of many modules, where each module has its own parameters that control the accuracy of the module. While each individual module can be optimized by tuning the relevant parameters, it is a non-trivial task to optimize the entire system. When the number of modules and the parameters are few, manual choosing of all parameters is possible by a \"trial and error\" mechanism. However, when the modules are many, other methods have to be adopted. We use fuzzy set technology for the purpose in the particular application of a Handwritten Address Interpretation System. We use a fuzzy measure based on the topology of the \"blind\" set of handwritten addresses and a predetermined neighborhood to construct the fuzzy membership function. This allows a nonlinear partitioning of the results to maximize the correct rate. On a test set of 10000 images, the fuzzy methodology accomplishes 5% higher accuracy.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"238 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":"115655367","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
Extending ERD modeling notation to fuzzy management of GIS datasets 将ERD建模符号扩展到GIS数据集的模糊管理
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781808
G. Vert, A. Morris, M. Stock, P. Jankowski
{"title":"Extending ERD modeling notation to fuzzy management of GIS datasets","authors":"G. Vert, A. Morris, M. Stock, P. Jankowski","doi":"10.1109/NAFIPS.1999.781808","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781808","url":null,"abstract":"The university of Idaho Experimental Forest's geographic data are currently stored in a semi-organized fashion as sets of files on a file server. These data are typically manipulated and utilized by students using a crisp set paradigm. As part of research to find a better way to manage and organize these sets, a fuzzy set model is being developed. An ERD data model notation is being extended with a notation representing fuzzy theory where it applies to the problem of set management, and a discretizing junction. D(), is being developed for fuzzy problems defined by continuous field data. D() is a specialized member of the class of functions M(), where the values it selects are spatial definitions and temporally continuous fields. Because space/time are metadata about attributes, the inclusion of D() in the class M() is appropriate and in fact may be hierarchical in nature. A notation has been created in the newly extended model to represent temporal fuzziness and the use of D() in place of M().","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"21 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":"114195402","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
Robust regression based training of ANFIS 基于鲁棒回归的ANFIS训练
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781765
R. Kothari
{"title":"Robust regression based training of ANFIS","authors":"R. Kothari","doi":"10.1109/NAFIPS.1999.781765","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781765","url":null,"abstract":"The Adaptive Neuro Fuzzy Inference System (ANFIS) is an attractive compromise between the adaptability of a neural network and the interpretability of a fuzzy inference system. Typically, the membership functions of some of the variables can be determined a priori based on domain knowledge. Membership functions of the other variables are adapted using a hybrid learning rule. The hybrid learning rule is based on a decomposition of the parameter set and learning is based on interleaving of two phases. In one phase, the consequent parameters are adjusted using a least squares algorithm, assuming the premise parameters are fixed. In the second phase the premise parameters are adjusted using gradient descent, assuming the consequent parameters are fixed. However, the least squares algorithm used in adjusting the consequent parameters is susceptible to outliers and often leads to premise parameters (membership functions) that are less meaningful. We study this effect using noisy data sets and propose a hybrid learning algorithm based on robust regression for training the ANFIS.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"72 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":"127017709","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
Fuzzy methods in e-commerce 电子商务中的模糊方法
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781641
R. Yager
{"title":"Fuzzy methods in e-commerce","authors":"R. Yager","doi":"10.1109/NAFIPS.1999.781641","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781641","url":null,"abstract":"We discuss how fuzzy set based intelligent agents can be used in e-commerce as a means adding-in targeted marketing. We describe a paradigm for advertising on the Internet which makes use of intelligent agents. Of particular significance in the model described is the ability of processing information online in real time and using very specific information about potential customers, rather than general demographic information, in deciding wether a visitor is a good potential customer and if so, which particular product or class of products is must suitable to bring to their attention. The technology of fuzzy modeling plays a central role in this development.","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":"124382618","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: 10
Strong and weak knowledge granules in context 语境中的强知识颗粒和弱知识颗粒
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781708
T. Whalen
{"title":"Strong and weak knowledge granules in context","authors":"T. Whalen","doi":"10.1109/NAFIPS.1999.781708","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781708","url":null,"abstract":"The article examines the joint effects of the strength of a knowledge granule implemented as a fuzzy if-then rule under a parameterized R-implication, and the parameter of the implication. A novel implication operator, the quadratic R-implication, is found to confer some special advantages.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"50 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":"123501662","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
Estimation of the food product quality using fuzzy sets 模糊集在食品质量评价中的应用
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781741
N. Perrot, C. Bonazzi, G. Trystram, F. Guély
{"title":"Estimation of the food product quality using fuzzy sets","authors":"N. Perrot, C. Bonazzi, G. Trystram, F. Guély","doi":"10.1109/NAFIPS.1999.781741","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781741","url":null,"abstract":"The estimation of food product quality using fuzzy sets is discussed in this paper through two specific examples: (i) prediction of the luminance of biscuits during a baking process, and (ii) prediction of wet-milling quality of maize during a drying process. Two fuzzy approaches are validated: a black-box approach and a knowledge-based approach to modeling. The results are good and coherent in both cases and the models are robust. Nevertheless, the fuzzy knowledge-based modeling approach is particularly pertinent and adaptable to food process engineering research.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"43 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":"133367152","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信