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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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A computerized sensitivity analysis approach for modeling reliability of construction operations 建筑作业可靠性建模的计算机灵敏度分析方法
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.1995.527792
Z. A. Eldukair
{"title":"A computerized sensitivity analysis approach for modeling reliability of construction operations","authors":"Z. A. Eldukair","doi":"10.1109/ISUMA.1995.527792","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527792","url":null,"abstract":"The concept of construction safety is still an issue of concern for all engineering practitioners. The importance of structural and construction safety is associated with adverse consequences that may result from a structural failure or a construction accident. There are many factors which affect the safety of construction operations. Most of these factors are imprecisely defined and therefore, they are expressed in subjective measures rather than mathematical measures. The reliability of construction operations is dependent on the assessment of the various factors that affect the operations. The sensitivity level of the reliability of the operations to the state and frequency of each factor is incorporated into the reliability assessment process. A prototype computer program for sensitivity analysis of the factors is evaluated to assess the effect of the variability of the parameters of the factors on the reliability of construction operations.","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":"19 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":"121960992","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
An adaptive rule extraction with the fuzzy self-organizing map and a comparison with other methods 一种基于模糊自组织映射的自适应规则提取方法，并与其他方法进行了比较
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.1995.527713
T. Nomura, T. Miyoshi
{"title":"An adaptive rule extraction with the fuzzy self-organizing map and a comparison with other methods","authors":"T. Nomura, T. Miyoshi","doi":"10.1109/ISUMA.1995.527713","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527713","url":null,"abstract":"For automatic rule extraction from a set of input-output data examples, decision tree generating methods such as ID3 and fuzzy ID3 play a major role. These methods, however, are difficult to apply when there is a tendency for the examples to change dynamically. This paper presents a new method for adaptive rule extraction with the fuzzy self-organizing map and the results of simulations in order to present its effectiveness by a comparison with other methods such as RBF (radial basis functions) and GA (genetic algorithms). We obtained the result that our method is superior to other methods for automatic and adaptive rule extraction.","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":"124 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":"131635649","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: 17
Designing a fuzzy controller for civil structures 土木结构模糊控制器的设计
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.1995.527670
F. Casciati, L. Faravelli
{"title":"Designing a fuzzy controller for civil structures","authors":"F. Casciati, L. Faravelli","doi":"10.1109/ISUMA.1995.527670","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527670","url":null,"abstract":"An adaptive controller differs from an ordinary controller in that the controller parameters are variable, and there is a mechanism for adjusting these parameters based on system performance. This paper investigates the possibility of allowing for hysteretic constructive laws by an adaptive scheme instead of a augmenting the control phase space dimension. The final goal is the optimization of a fuzzy controller for nonlinear structural systems under seismic excitation.","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":"60 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":"133999409","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
Safety analysis of tension elements using various reliability methods 采用各种可靠性方法对张拉元件进行安全性分析
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.1995.527791
J. Kreiner, Chandra S. Putcha
{"title":"Safety analysis of tension elements using various reliability methods","authors":"J. Kreiner, Chandra S. Putcha","doi":"10.1109/ISUMA.1995.527791","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527791","url":null,"abstract":"This work is an extension of the earlier research done by the authors in this area (Putcha and Kreiner, 1993) wherein these principles were applied to a steel beam with an external moment. The main methods used for estimation of reliability in the previous as well as the present research are: the First Order Second Moment (FOSM) method, the Advanced First Order Second Moment (AFOSM) and the Point Estimate Method (PEM). For each method, the reliability of the tension element is calculated. The safety indices (/spl beta/) are calculated for the various types of probabilistic combinations of resistance and load. Results obtained by these three methods are compared to one another. Subsequently, relevant conclusions are drawn.","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":"17 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":"134118694","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
Indoor radon prediction for residential houses 住宅室内氡预测
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.1995.527691
W.G. Li, Q. Yao, Wei-Tong Chen
{"title":"Indoor radon prediction for residential houses","authors":"W.G. Li, Q. Yao, Wei-Tong Chen","doi":"10.1109/ISUMA.1995.527691","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527691","url":null,"abstract":"Radon is a radioactive, odorless, colorless and naturally-occurring gas. It can significantly damage the respiratory tissue when there is prolonged exposure to elevated concentrations of the gas. Constant exposure to high concentration of radon gas may cause lung cancer. Researchers have concentrated on investigating the factors that affect radon entry and to designing mitigation methods in preventing radon intrusion. Radon gas entry is affected by soil properties, house physical characteristics and outside forces (wind, temperature changes). Indoor radon level can be predicted by using an experimental model which is based on previous experience and experimental results. Based on previous experience and the Florida Radon Research Projects, an indoor radon prediction model is developed to predict the potential indoor radon levels by the combination effect of average area indoor radon level, aerial radioactivity, geology, soil permeability and structural type. The predicted indoor radon levels could be a critical index for further treatment of the house.","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 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":"133550387","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
Effects of the shape of fuzzy membership functions on fuzzy inference 模糊隶属函数形状对模糊推理的影响
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.1995.527665
J. Boston
{"title":"Effects of the shape of fuzzy membership functions on fuzzy inference","authors":"J. Boston","doi":"10.1109/ISUMA.1995.527665","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527665","url":null,"abstract":"The paper investigates the effect of the shapes of membership functions on a fuzzy inference system to detect a signal in a noisy waveform. The detector, which uses values of features derived from the waveform, can classify the waveform as signal or noise, or it can be uncertain, that is, it can decide that no conclusion regarding presence or absence of a signal can be drawn. Piecewise linear membership functions were used, and analytical expressions for the dependence of classification on the membership function parameters were obtained. These results were verified in a simulation, using sensory evoked potential signals and simulated noise. The performance of the system was compared to a Bayesian maximum likelihood detector. By varying membership function parameters, the fuzzy detector can be made comparable to the Bayesian detector or it can almost completely eliminate errors, at the cost of a large number of uncertain classifications.","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":"60 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":"132266239","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
The fuzzy reasoning of multi-expert system 多专家系统的模糊推理
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.1995.527789
Junian Li, Tong Li, Liping Guo
{"title":"The fuzzy reasoning of multi-expert system","authors":"Junian Li, Tong Li, Liping Guo","doi":"10.1109/ISUMA.1995.527789","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527789","url":null,"abstract":"In multi expert systems (ES), difficulties arise when experts dealing with the same problem have different opinions, even opposite ones, which is especially true for traditional Chinese doctors. For the same patient, some doctors suggest a nourishing method and others recommend a dissipating method. Although diagnosis and therapy are completely contrasting among doctors the results may be the same. However, it would be difficult to combine their knowledge and rules together. The paper is intended to solve the above mentioned problem via automatic inference and decision in a multi expert system. Although the suggested model is especially suitable for the automatic inference and decision making in a medicinal multi expert system, it is generally useful for any multi expert systems.","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":"23 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":"129626273","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
Solving fuzzy equations using neural nets 用神经网络求解模糊方程
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.1995.527711
J. Buckley, E. Eslami, Y. Hayashi
{"title":"Solving fuzzy equations using neural nets","authors":"J. Buckley, E. Eslami, Y. Hayashi","doi":"10.1109/ISUMA.1995.527711","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527711","url":null,"abstract":"In this paper, we show how a neural net can be used to solve .","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":"284 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":"132127056","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: 39
Functional equivalence between neural networks and fuzzy systems with sinusoidal membership functions 具有正弦隶属函数的神经网络与模糊系统的功能等价
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.1995.527712
L. Jin, M. Gupta
{"title":"Functional equivalence between neural networks and fuzzy systems with sinusoidal membership functions","authors":"L. Jin, M. Gupta","doi":"10.1109/ISUMA.1995.527712","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527712","url":null,"abstract":"The functional equivalence between multilayered neural networks (MNNs) and fuzzy systems with a singleton fuzzifier, a product inference, a centroid defuzzifier and a sinusoidal membership function is discussed in this paper. First, a normalized structure of MNNs is given in terms of input-output equations of MNNs. Fuzzy basis function network (FBFN) expansions of multi-input single-output (MISO) fuzzy systems are then given in order to describe the input-output relationships of fuzzy systems. Sinusoidal membership functions are introduced for fuzzy systems with a graded value over [0,1]. Functional equivalence between the two systems is analytically shown. Finally, the universal approximation capability of FBFNs is briefly discussed.","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":"30 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":"133413270","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 numerical functions as special fuzzy multivalued mappings 模糊数值函数作为特殊的模糊多值映射
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.1995.527769
E. Tsiporkova-Hristoskova, B. De Baets, E. Kerre
{"title":"Fuzzy numerical functions as special fuzzy multivalued mappings","authors":"E. Tsiporkova-Hristoskova, B. De Baets, E. Kerre","doi":"10.1109/ISUMA.1995.527769","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527769","url":null,"abstract":"The concept of a fuzzy numerical function is introduced as a special fuzzy multivalued mapping associating to each element of the universe of discourse a fuzzy (real) number. The notion of a truncated fuzzy number is introduced and its properties are studied. It is proven that the direct image of a fuzzy singleton under a fuzzy numerical function always is a truncated fuzzy number. A strict ordering in the set of truncated fuzzy numbers is constructed and it is shown that the class of fuzzy numbers, endowed with this ordering, forms a lattice. Addition, subtraction, multiplication, division, maximum and minimum of fuzzy numerical functions are defined and the distributivity of the direct image of a fuzzy singleton with respect to these operations is obtained. Carefully chosen definitions of lower and upper semi-continuity of fuzzy numerical functions are presented. The behaviour of addition, subtraction, maximum and minimum of lower (resp. upper) semi-continuous fuzzy numerical functions is investigated.","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":"11 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":"125745083","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
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