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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society最新文献

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The use of fuzzy rules in classification of normal human brain tissues 模糊规则在人脑正常组织分类中的应用
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527686
A. Namasivayam, L. Hall
{"title":"The use of fuzzy rules in classification of normal human brain tissues","authors":"A. Namasivayam, L. Hall","doi":"10.1109/ISUMA.1995.527686","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527686","url":null,"abstract":"Automatic classification and tissue labeling of 2D magnetic resonance images of the human brain may involve a preliminary clustering stage. Segmenting large multidimensional data sets like those from magnetic resonance images is very time consuming. Better performance at the clustering stage as achieved if partial classification of the image can be done before applying clustering. We show the use of fuzzy rules to do this partial classification to be very effective. Fuzzy rules can preclassify a major portion of the image giving a clustering algorithm a lesser number of pixels to operate upon. Furthermore, as the preclassification stage is itself fuzzy, it can be directly used to initialize a fuzzy clustering algorithm, giving it a much needed headstart. We present an approach to using fuzzy rules to preclassify magnetic resonance images of the normal human brain. Good segmentation of normal brain into tissues of interest is obtained much faster than with clustering alone.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"28 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122577903","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: 15
On fuzzy decision processes with discounted fuzzy rewards 模糊奖励折现的模糊决策过程
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527705
Y. Yoshida
{"title":"On fuzzy decision processes with discounted fuzzy rewards","authors":"Y. Yoshida","doi":"10.1109/ISUMA.1995.527705","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527705","url":null,"abstract":"Deals with a multi-stage decision process with fuzzy transitions, which is termed a 'fuzzy decision process'. We consider the fuzzy decision process, where both states and actions are assumed to be fuzzy, from the point of view of a dynamic fuzzy system which has been developed by the authors. The discounted total reward is described by a fuzzy number on a closed bounded interval. A partial order of convex fuzzy numbers, which is called a 'fuzzy max order', is used to discuss the optimization problem. We characterize the discounted total reward associated with an admissible stationary policy by a unique fixed point of the contractive mapping. Further, we estimate the fuzzy rewards by introducing a fuzzy expectation generated by a fuzzy goal.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601163","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
Modeling geometric uncertainties of continuum structures for reliability assessment purposes 基于可靠性评估的连续体结构几何不确定性建模
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527684
R. Muhanna, B. Ayyub
{"title":"Modeling geometric uncertainties of continuum structures for reliability assessment purposes","authors":"R. Muhanna, B. Ayyub","doi":"10.1109/ISUMA.1995.527684","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527684","url":null,"abstract":"A prototype computational methodology for reliability assessment of continuum structures using finite element analysis with instability failure modes is described in this paper. Examples were used to illustrate and test the methodology. Geometric and material uncertainties were considered in the finite element model. A computer program was developed to implement this methodology by integrating uncertainty formulations to create a finite element input file, and to conduct the reliability, assessment on a machine level. A commercial finite element package was used as a basis for the strength assessment in the presented procedure. A parametric study for a stiffened panel strength was also carried out. The developed method is expected to have significant impact on the reliability assessment of structural components and systems. This impact can extend beyond structural reliability into the generalized field of engineering mechanics.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126925774","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
Adaptivity in a hierarchical fuzzy model 层次模糊模型的自适应
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527685
R. Hammell, T. Sudkamp
{"title":"Adaptivity in a hierarchical fuzzy model","authors":"R. Hammell, T. Sudkamp","doi":"10.1109/ISUMA.1995.527685","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527685","url":null,"abstract":"A hierarchical architecture for fuzzy modeling and inference has been developed to allow adaptation based on system performance feedback. A general adaptive algorithm is presented and its performance examined for three types of adaptive behaviour: continued learning, gradual change, and drastic change. In continued learning, the underlying system does not change and the adaptive algorithm utilizes the real time data and associated feedback to improve the accuracy of the existing model. Gradual and drastic change represent fundamental alterations to the system being modeled. In each of the three types of behaviour, the adaptive algorithm has been shown to be able to reconfigure the rule bases to either improve the original approximation or adapt to the new system.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121537797","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
Exact solutions for interacting rules using conjunctive logic
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527723
T. Whalen
{"title":"Exact solutions for interacting rules using conjunctive logic","authors":"T. Whalen","doi":"10.1109/ISUMA.1995.527723","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527723","url":null,"abstract":"In this paper, I derive an exact solution for the membership function of the output of a fuzzy system consisting of n Mamdani-type rules. The consequents of the rules are triangular fuzzy sets that are evenly spaced on a univariate universe of discourse. All the consequents have the same support width, /spl delta/, which determines the degree to which the consequents overlap. The derivation makes no assumptions about the rule antecedents, since the fuzzy output is expressed as a function of the degree to which each rule is satisfied. Using this function, I derive an exact solution for the defuzzified output of the system using the centroid defuzzification procedure. Finally, a numerical example involving four rules with two input variables illustrates a preliminary investigation into the effect of varying the support width of the consequent fuzzy sets.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387435","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
Geometric compatibility modification in FuzzyCLIPS 几何兼容性修改在FuzzyCLIPS
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527689
V. Cross, A. Rajagopal
{"title":"Geometric compatibility modification in FuzzyCLIPS","authors":"V. Cross, A. Rajagopal","doi":"10.1109/ISUMA.1995.527689","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527689","url":null,"abstract":"The fuzzy inference method in most of the marketed development tools for fuzzy systems define rule relations using the min operator and employ the compositional rule of inference. This method is equivalent to set-theoretic compatibility modification inference Geometric compatibility modification inference, however, employs the dissemblance compatibility measure from metric class of compatibility measures. This inference method can determine a conclusion or an action even when the fuzzy input does not intersect the fuzzy antecedent of any rule such as in sparse rule bases. No set-theoretic compatibility measure has this capability. Because of this capability, the dissemblance compatibility measure is currently being implemented and tested as a new inference type in FuzzyCLIPS, a fuzzy systems development tool available on the Internet from the National Research Council of Canada.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122248746","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
A grey fuzzy multiobjective programming approach for the optimal planning of municipal solid waste management systems 城市生活垃圾管理系统优化规划的灰色模糊多目标规划方法
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527733
N. Chang, S. Wang
{"title":"A grey fuzzy multiobjective programming approach for the optimal planning of municipal solid waste management systems","authors":"N. Chang, S. Wang","doi":"10.1109/ISUMA.1995.527733","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527733","url":null,"abstract":"The paper proposes a new approach-a grey fuzzy multiobjective mixed integer programming (GFMOMIP) model-for the evaluation of sustainable management strategies of solid waste management in a metropolitan region. In particular, it demonstrates how uncertain messages can be quantified by specific membership functions and combined through the use of grey numbers in a multiobjective solid waste management framework. It shows that the grey fuzzy outputs can successfully reflect system complexity and generate more flexible management strategies.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961841","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
Qualitative selection strategies in genetic-based evolutionary economic models 基于遗传的进化经济模型中的质量选择策略
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527717
V. Loia, S. Scandizzo
{"title":"Qualitative selection strategies in genetic-based evolutionary economic models","authors":"V. Loia, S. Scandizzo","doi":"10.1109/ISUMA.1995.527717","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527717","url":null,"abstract":"We use an evolutionary economic model based on a \"genetic\" representation of firm's behaviour which can naturally be implemented by means of a genetic algorithm. We suggest that both optimisation performance and simulation power may be enhanced incorporating in genetic algorithms a sophisticated fuzzy clustering algorithm. Such a system would be worth using in all those cases where uncertainty and imprecision occur in the evaluation of the fitness function, as well as in assessing similarities and differences among individuals.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130210684","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
Distributions with fuzziness and randomness 具有模糊性和随机性的分布
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527774
Ru-Jen Chao, B. Ayyub
{"title":"Distributions with fuzziness and randomness","authors":"Ru-Jen Chao, B. Ayyub","doi":"10.1109/ISUMA.1995.527774","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527774","url":null,"abstract":"Both cognitive and noncognitive uncertainties can be present in the same variable. The non-cognitive uncertainty of a variable can be described by its own probability density function (PDF); whereas the cognitive uncertainty of a random variable can be described by the membership function for its fuzziness and its /spl alpha/-cuts. A PDF called fuzzy-random PDF is proposed in this paper based on considering the combined effects of both cognitive and non-cognitive uncertainties for the variable. The variable is assumed to have a fuzzy mean and a non-fuzzy standard deviation. The fuzzy-random PDF is defined as the marginal density function of the multiplication of its normalized membership function and its random distribution. Relationships for the means and variances among the fuzzy-random distribution, normalized membership function, and random distribution were developed. The moments method and discrete method were proposed for dealing with the fuzzy-random PDF.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133957188","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
Development of systematic procedure for the analysis of heavy truck traffic data 重型卡车交通数据分析系统程序的开发
Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI: 10.1109/ISUMA.1995.527754
Q. Yao, W.G. Li, F. Najafi
{"title":"Development of systematic procedure for the analysis of heavy truck traffic data","authors":"Q. Yao, W.G. Li, F. Najafi","doi":"10.1109/ISUMA.1995.527754","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527754","url":null,"abstract":"The 18 kip equivalent single axle loading (ESAL) process has been taken to develop the expected ESALs for the life of highway projects. The Florida Standard Urban Transportation Molding Structure (FSUTMS) does not forecast heavy truck traffic. The development of systematic truck forecasting model has not been received yet. In the absence of a departmental truck forecasting model, future truck traffic is based on the present day truck classification. The percentage of truck traffic is assumed to hold the same relationship to annual average daily traffic. For the purpose of pavement structural design, it is necessary to estimate the cumulative number of 18 kip ESALs for the design period. Since truck volume and damage factors are needed to calculate ESALs, estimating the frequency and predicting the trend of future heavy truck traffic is significant. The paper presents a systematic procedure for the classification and analysis of heavy truck traffic data and an attempt of developing a systematic truck traffic forecasting model.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131166369","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
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