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
{"title":"An algorithm to compute possibilistic reliability","authors":"B. Cappelle, E. Kerre","doi":"10.1109/ISUMA.1995.527720","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527720","url":null,"abstract":"The mathematical representation of human behaviour and incomplete information is one of the most important challenges in reliability modelling. Several papers have been devoted to this topic but only few concern algorithms to compute the possibilistic system reliability from the component reliabilities. In this paper, we present an algorithm to approximate the possibilistic and the dual possibilistic reliability function of a system represented by an n-ary structure function. From these approximations we deduce an approximation of the necessistic and dual necessistic reliability function when the necessity measure is dual with respect to an order reversing mapping on the unit interval.","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":"125860940","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}
{"title":"Seismic analysis of coupled shear wall systems using probability and random vibration concepts","authors":"J. Kuang, J. Puvvala","doi":"10.1109/ISUMA.1995.527736","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527736","url":null,"abstract":"In modern earthquake engineering, the response spectrum plays a vital role in commonly used methods of analysis for the coupled shear wall systems. Based on the free vibration analysis of coupled shear walls and the mode superposition method of dynamic analysis of coupled shear walls, an approach is presented in this paper for seismic analysis of coupled shear wall systems with the contribution of response spectrum using probability and random vibration concepts. The modified probabilistic and random vibration concepts are employed to determine the mean and standard deviation of the peak response for a coupled shear wall system subjected to earthquake 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":"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":"123853008","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}
{"title":"Fuzzy phase compensation algorithm and its application","authors":"Fang-xiao Wang, C. Dou","doi":"10.1109/ISUMA.1995.527704","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527704","url":null,"abstract":"Traditional fuzzy logic inference and control algorithms cannot be used effectively in phase-related mechanical velocity control, since fuzzy logic is essentially a trial strategy which is based upon observation from the next system response. Experimental results and process applications show that these algorithms are not suitable for fast-reaction systems. This paper discusses a modified fuzzy inference/control algorithm-the lead-and-lag fuzzy logic compensation algorithm, which uses a lead-and-lag algorithm to compensate the phase error. This algorithm was successfully used on multiple-function food-packing lines. It can trace the phase correctly and reduce the accumulated phase error within an acceptable degree.","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":"61 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":"127552280","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}
{"title":"A fuzzy logic approach to performance evaluation","authors":"S. Ammar, R. Wright","doi":"10.1109/ISUMA.1995.527701","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527701","url":null,"abstract":"Client satisfaction surveys are a growing part of performance evaluation for both individuals and corporate units. At one Northeast public utility, when these surveys became a major part of performance evaluation, concerns were raised about the validity of current procedures for analyzing this data. A research and development effort was begun to see how well fuzzy logic could be used to analyze this inherently imprecise data. In this paper, we describe the current procedures and their obvious defects, a preliminary model which corrects the worst deficiencies, and finally the R&D supported model which was developed using a fuzzy rule-based 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":"47 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":"127643092","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}
{"title":"Feature-based target recognition with Bayesian inference","authors":"Jun Liu, Kuo-Chu Chang","doi":"10.1109/ISUMA.1995.527675","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527675","url":null,"abstract":"The problem of target classification with high-resolution fully polarimetric, synthetic aperture radar (SAR) imagery is considered. The paper summarizes our recent work in SAR target recognition using a feature-based Bayesian inference approach. The approach works on the selected features. Features are chosen such that the separabilities of the original data are well maintained for later classification. Once the original data is mapped into feature space, the conditional probability distributions of features given the target are estimated statistically, which are then used to calculate the probabilities that a target belongs to one of the given classes based on the observed features. The target is assigned to the class with the highest probability. A comparison between the above technique and the traditional statistical approaches such as nearest mean and Fisher pairwise is illustrated based upon performance on a fully polarimetric ISAR (inverse SAR) image data set.","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":"122675861","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}
{"title":"Nonstationary seismic response of highway bridges supported on columns","authors":"G. Fu, J. Lall","doi":"10.1109/ISUMA.1995.527737","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527737","url":null,"abstract":"The seismic displacement of a bridge superstructure relative to its substructure (columns) is studied, including uncertainty of the seismic input. The earthquake excitation is modeled as white noise filtered by the Clough-Penzien (1975) filter, in cascade with modulation accounting for seismic intensity nonstationarity. An analytical solution is obtained for the statistics of the relative displacement and its derivatives. These may be used to develop probabilistic seismic response spectra for design.","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":"125 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":"123082167","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}
{"title":"An autonomous approach to the mountain-clustering method","authors":"P. J. Costa Branco, N. Lori, J. A. Dente","doi":"10.1109/ISUMA.1995.527771","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527771","url":null,"abstract":"This paper presents an autonomous approach to the clustering algorithm based on a mountain function proposed by Yager and Filev (1994). It intends to answer the parameter selection problem and attenuate the effects of the granularity of the griding in algorithm's performance using a cluster reallocation procedure. The solving of those problems has greatly enhanced the possibility of achieving an autonomous mountain-clustering process. The proposed clustering approach is explained in detail and examples of its performance are analyzed.","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":"73 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":"127493857","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}
{"title":"On genetic representation of high dimensional fuzzy systems","authors":"M. A. Lee","doi":"10.1109/ISUMA.1995.527790","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527790","url":null,"abstract":"We explore evolutionary design of fuzzy systems for high dimensional input systems. We evaluate three fuzzy system representations that avoid the exponential increase in the number of rules as the input dimension increases. We report on system design aspects such as the performance of the search algorithm, and the quality and complexity of the final solution. Based on our results, we discuss the merits and drawbacks of each representation and propose a technique to mix representations.","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":"22 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":"125283513","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}
{"title":"Guard heuristic by dynamic fuzzy reasoning model for Chinese chess","authors":"Mei Chen, Yo-Ping Huang","doi":"10.1109/ISUMA.1995.527751","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527751","url":null,"abstract":"The paper provides a novel Chinese chess model which is based on a fuzzy cognitive map (FCM) and rule-based system for reasoning a best legal move. A 10/spl times/9 guard matrix is generated by FCM to show the status of each intersection. Each entry in the matrix is called a guard value which indicates how an intersection is guarded by the player's side or attacked by the opponent's. Based on the proposed model, not only can the legitimacy of the next move be improved but the decision time is much shorter than the same tree searching method of the alpha-beta model. An example is given to verify the effectiveness of the proposed methodology.","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":"51 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":"114673985","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}
{"title":"Fuzzy logic, grasp preshaping for robot hands","authors":"Kubilay K. Aydin","doi":"10.1109/ISUMA.1995.527749","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527749","url":null,"abstract":"Selection of an appropriate hand shape and orientation for grasp preshaping depends on the geometry and physical properties of the target object, along with information on the goal of the task. Features of the target object and the task are mapped onto various grasp attributes. Preshaping of the robot hand is done according to the results of this mapping. A fuzzy logic grasp preshaping methodology is presented.","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":"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":"117142145","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}