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

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Rough sets and reasoning about complications-granular computation in medical reasoning 并发症的粗糙集与推理——医学推理中的颗粒计算
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781803
S. Tsumoto
{"title":"Rough sets and reasoning about complications-granular computation in medical reasoning","authors":"S. Tsumoto","doi":"10.1109/NAFIPS.1999.781803","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781803","url":null,"abstract":"One of the most difficult problems in modeling medical reasoning is to model a procedure for diagnosis about complications. In medical contexts, a patient sometimes suffers from several diseases and has complicated symptoms, which makes a differential diagnosis very difficult. For example, in the domain of headache, a patient suffering from migraine, (a vascular disease), may also suffer from muscle contraction headache (a muscular disease). In this case, symptoms specific to vascular diseases will be observed with those specific to muscular ones. Since one of the essential processes in diagnosis of headache is discrimination between vascular and muscular diseases, simple rules will not work to rule out one of the two groups. However, medical experts do not have this problem and conclude both diseases. In this paper, three models for reasoning about complications are introduced and modeled by using characterization and rough set model. This clear representation, suggests that this model should be used by medical experts implicitly.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"154 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":"127339086","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 fuzzy ARTMAP based classification technique of natural textures 基于模糊ARTMAP的自然纹理分类技术
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781745
D. Charlampidis, T. Kasparis, M. Georgiopoulos, J. Rolland
{"title":"A fuzzy ARTMAP based classification technique of natural textures","authors":"D. Charlampidis, T. Kasparis, M. Georgiopoulos, J. Rolland","doi":"10.1109/NAFIPS.1999.781745","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781745","url":null,"abstract":"Describes an approach to the classification of textured gray-scale images using a technique based on image filtering, the fractal dimension (FD) and a fuzzy ARTMAP neural network (FAMNN). 12 FD features are computed based on 12 filtered versions of the original image using directional Gabor filters. Features are computed in a window and mapped to the central pixel of this window. We implemented a variation of the testing phase of a fuzzy ARTMAP that exhibited a performance that was superior to the standard fuzzy ARTMAP and the 1-nearest neighbor (1-NN) method in the presence of noise. Training was performed using patterns that were extracted from 20 different textures. The classification performance is also studied with respect to a testing set. Segmentation results are also presented to illustrate that the classification algorithm and its specified parameters are adequate so that more than one texture can be identified in the same image.","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":"131174858","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: 4
Fuzzy adaptive multi-module approximation network 模糊自适应多模块逼近网络
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781767
Wonil Kim, K. Mehrota, C. Mohan
{"title":"Fuzzy adaptive multi-module approximation network","authors":"Wonil Kim, K. Mehrota, C. Mohan","doi":"10.1109/NAFIPS.1999.781767","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781767","url":null,"abstract":"The paper presents a fuzzy version of the Adaptive Multi-module Approximation Network. New modules are generated when performance of existing modules is inadequate for some training data, and the applicability of a module to each input vector is determined based on the fuzzy membership of that vector in the possibly asymmetric clusters represented by the reference vectors associated with different modules. The main idea is that for neural networks that rely on a reference vector (for vector quantization, clustering, and similar tasks), the use of fuzzy membership criterion based on the distribution of data (inside different Voronoi cells) may be more appropriate than the traditional approach using a Euclidean metric to determine to which cell each data point belongs.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"37 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":"131644350","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
Real-time nonlinear system regulation via TS fuzzy control 采用TS模糊控制对非线性系统进行实时调节
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781773
O. Begovich, E. Sánchez, M. Maldonado
{"title":"Real-time nonlinear system regulation via TS fuzzy control","authors":"O. Begovich, E. Sánchez, M. Maldonado","doi":"10.1109/NAFIPS.1999.781773","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781773","url":null,"abstract":"Regulator lineal theory and a Takagi-Sugeno (TS) fuzzy control methodology are used to design a new fuzzy control scheme for nonlinear system regulation. This approach is applied in real time to the level control of two water-storage tanks connected in a cascade manner.","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":"131153009","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 estimation of DC motor winding currents 直流电机绕组电流的模糊估计
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781816
D. Simon
{"title":"Fuzzy estimation of DC motor winding currents","authors":"D. Simon","doi":"10.1109/NAFIPS.1999.781816","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781816","url":null,"abstract":"Fuzzy systems have been used extensively and successfully in control systems over the past few decades, but have been applied much less often to filtering problems. This is somewhat surprising in view of the close relationship between control and estimation. The paper discusses and demonstrates the application of fuzzy filtering to motor winding current estimation in permanent magnet synchronous motors. It is shown via simulation results that fuzzy techniques provide an attractive alternative to current estimation using analytic techniques. It is further shown how the fuzzy membership functions can be optimized using gradient descent.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"460 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":"115289442","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: 7
Modelling emotions with multidimensional logic 用多维逻辑建模情感
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781649
Carlos Gershenson
{"title":"Modelling emotions with multidimensional logic","authors":"Carlos Gershenson","doi":"10.1109/NAFIPS.1999.781649","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781649","url":null,"abstract":"One of the objectives of artificial intelligence has been the modelling of \"human\" characteristics, such as emotions, behaviour, conscience, etc., but in such characteristics we might find a certain degree of contradiction. Previous work on modelling emotions and its problems are reviewed. A model for emotions is proposed using multidimensional logic, which handles the degree of contradiction that emotions might have. The model is oriented to simulate emotions in artificial societies. The proposed solution is also generalized for actions which might overcome contradiction (conflicting goals in agents, for example).","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":"123866292","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: 42
Relational clustering based on a new robust estimator with application to Web mining 基于一种新的鲁棒估计器的关系聚类在Web挖掘中的应用
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781785
O. Nasraoui, R. Krishnapuram, A. Joshi
{"title":"Relational clustering based on a new robust estimator with application to Web mining","authors":"O. Nasraoui, R. Krishnapuram, A. Joshi","doi":"10.1109/NAFIPS.1999.781785","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781785","url":null,"abstract":"Mining typical user profiles and URL associations from the vast amount of access logs is an important component of Web personalization. In this paper, we define the notion of a \"\"user session\" as being a temporally compact sequence of Web accesses by a user. We also define a dissimilarity measure between two Web sessions that captures the organization of a Web site. To cluster the user sessions based on the pairwise dissimilarities, we introduce the relational fuzzy c-maximal density estimator (RFC-MDE) algorithm. RFC-MDE is robust and can deal with outliers that are typical in this application. We show real examples of the use of RFC-MDE for extraction of user profiles from log data, and and compare its performance to the standard non-Euclidean fuzzy c-means.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"47 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":"120886889","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: 57
Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control 模糊控制的过去、现在与未来:模糊逻辑在层次控制中的应用
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781796
R. Langari
{"title":"Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control","authors":"R. Langari","doi":"10.1109/NAFIPS.1999.781796","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781796","url":null,"abstract":"Fuzzy logic control emerged in the mid 1970s as a paradigm for rule based control of dynamic systems, primarily in process type control situations. In the past two decades, and specially in the mid 80s to mid 90s, fuzzy logic control, has been successfully deployed in a broad spectrum of application areas ranging from automatic train operation to flight systems. None the less there remains a great deal of scepticism within the control community as to what the real merits of this paradigm are. We focus on the positive aspect of fuzzy logic control, as well as some significant controversial issues that surround this paradigm. In particular, we contend that while the semantic transparency offered by fuzzy logic enables control engineers to efficiently develop control strategies in application areas marked by low order dynamics with weak nonlinearities, the broader impact of fuzzy logic should be in hierarchically structured systems, perhaps in combination with conventional control techniques. We offer examples of application of fuzzy logic in hierarchical setting and discuss a number of theoretical issues that arise in these settings.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"33 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":"116059095","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: 45
Computing with descriptive and veristic words 用描述词和真实词进行计算
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781643
I. Turksen
{"title":"Computing with descriptive and veristic words","authors":"I. Turksen","doi":"10.1109/NAFIPS.1999.781643","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781643","url":null,"abstract":"Computing with words [Zadeh, 1995] is fundamental to our understanding the foundation of fuzzy theory. Naturally, there are a large variety of \"words\" that we need to recognize and utilize in our computational paradigms. However, descriptive and veristic words are essential for the fundamental derivation of fuzzy set and logic formulas. Descriptive linguistic terms help us assign an element to a fuzzy set with a membership value. Whereas the veristic words determine the degree of truthhood associated with a descriptive membership value. Understanding this distinction between descriptive and veristic linguistic terms form the basis of deriving the normal forms of fuzzy set and logic formulas. Within this perspective, there are potentially four possible fuzzy set and logic theories. Each of these has their own unique formulas. Most of the current literature is based on a \"myopic\" theory which is an approximation of the fuzzy set and two-valued logic based formalism. These issues are presented in our attempt toward restructuring the foundations of fuzzy theory.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"123 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":"116348783","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
Fuzzy process modelling for secondary steelmaking 二次炼钢模糊过程建模
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781817
R. Roy, L. Collantes, J. Berdou, H. Whittaker, J. Madill
{"title":"Fuzzy process modelling for secondary steelmaking","authors":"R. Roy, L. Collantes, J. Berdou, H. Whittaker, J. Madill","doi":"10.1109/NAFIPS.1999.781817","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781817","url":null,"abstract":"The application of artificial intelligence techniques in secondary steelmaking has been investigated by developing a prototype fuzzy process model. The fuzzy model assesses the quality of production using processing parameters as inputs and performance parameters as outputs, in order to provide an efficient decision support application. The research has developed an approach to utilise both data analysis and expert knowledge to define the membership functions and the rules. The paper also includes a brief state of the art review on the application of fuzzy logic in secondary steelmaking.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"14 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":"116113614","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
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