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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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Signal representation using fuzzy morphology 模糊形态学的信号表示
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.1995.527764
Chin-Pan Huang, L. F. Chaparro
{"title":"Signal representation using fuzzy morphology","authors":"Chin-Pan Huang, L. F. Chaparro","doi":"10.1109/ISUMA.1995.527764","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527764","url":null,"abstract":"In this paper we propose a signal representation based on fuzzy morphology and adaptive structuring functions which is analogous to polynomial transforms. For completeness, we use a set of normalized and ordered structuring functions derived from orthogonal polynomials defined on a window. After windowing the given signal, the geometric decomposition of a windowed signal is achieved by applying fuzzy morphological opening sequentially using each of the structuring functions to fit the signal. The resulting representation is made to resemble an orthogonal expansion by constraining the result of opening to equal the adapted structuring function. Properties of the geometric decomposition permit us to develop an iterative procedure to calculate the adaptation parameters. The analysis and synthesis procedures are illustrated for images.","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":"24 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":"125154682","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
Uncertainties associated with restoring natural alignment to previously straightened streams 与恢复自然排列有关的不确定性到先前的直流
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.1995.527697
K. Agazi, P. Johnson, T. M. Heil
{"title":"Uncertainties associated with restoring natural alignment to previously straightened streams","authors":"K. Agazi, P. Johnson, T. M. Heil","doi":"10.1109/ISUMA.1995.527697","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527697","url":null,"abstract":"Three models are currently used by the Maryland State Highway Administration for designing meanders on stream restoration projects. The first model is based on the relationship of bankfull channel width and meander wave length, the second is based on the relationship between bankfull channel width and the meander belt width and the third is based on the relationship between bankfull channel width and meander radius of curvature. In this study, watershed and meander characteristics from 24 Maryland streams were collected using both state topographic maps and field investigations. These data were then used to verify, the accuracy and quantify the uncertainties inherent in each of the three models. The determination of regression and physical parameter as well as model uncertainty will aid in a more reliable restoration of natural meander plan form to previously straightened streams.","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":"130024134","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
The Lindley paradox, information and generalized functions 林德利悖论，信息与广义函数
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.1995.527783
K. Breitung
{"title":"The Lindley paradox, information and generalized functions","authors":"K. Breitung","doi":"10.1109/ISUMA.1995.527783","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527783","url":null,"abstract":"In testing a sharp point hypothesis there is a difference between frequentist and Bayesian results. Even for sample sizes increasing to infinity, Bayesian methods accept the point null hypothesis for values where the frequentist method leads to rejection. This is called the Lindley paradox. Here it is attempted to explain this. The reason appears to be not a specific feature of Bayesian methods, but a misuse of the theorem of Bayes.","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":"46 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":"121392812","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
S-implications vs R-implications: which is better in approximate reasoning? s暗示vs r暗示:在近似推理中哪个更好?
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.1995.527725
E. Eslami, J. J. Buckley
{"title":"S-implications vs R-implications: which is better in approximate reasoning?","authors":"E. Eslami, J. J. Buckley","doi":"10.1109/ISUMA.1995.527725","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527725","url":null,"abstract":"We present basic criteria that we believe should be satisfied by any implication operator in approximate reasoning. We then argue that S-implications satisfy all the criteria whereas R-implications fail one of the criteria. We conclude that S-implications are more applicable than R-implications in approximate reasoning.","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":"129079986","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
Using reliability-based models to assess rehabilitation needs 使用基于可靠性的模型来评估康复需求
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.1995.527683
M. A. Leggett
{"title":"Using reliability-based models to assess rehabilitation needs","authors":"M. A. Leggett","doi":"10.1109/ISUMA.1995.527683","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527683","url":null,"abstract":"Due to increasing budget constraints, funding available to maintain, rehabilitate, improve, or replace aging US Army Corps of Engineers (USACE) structures is declining with respect to funding requirements. Therefore, the available funds must be selectively invested to achieve maximum benefits. To compete for scarce appropriation resources, USACE districts are now required to justify civil works rehabilitation project funding by demonstrating a need for improvement in reliability or efficiency. A risk-based benefit-cost model is utilized to establish funding justification. This analysis model requires input to assess the current condition of a structure and its degradation rate. This methodology incorporating both reliability and economic aspects would aid in forming a nationwide planning 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":"72 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":"128683591","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
Fuzzy system representation of car-following phenomena 汽车跟随现象的模糊系统表示
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.1995.527798
M. Luszcz, S. Kikuchi
{"title":"Fuzzy system representation of car-following phenomena","authors":"M. Luszcz, S. Kikuchi","doi":"10.1109/ISUMA.1995.527798","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527798","url":null,"abstract":"Summary form only given. Understanding the way vehicles interact with one another within a traffic stream is an important topic in transportation engineering. The specific situation being studied is when a driver is following another vehicle because his/her speed is constrained by the vehicle ahead, or roadway or traffic conditions that do not allow passing. This is termed a car-following situation. This paper examines the potential of fuzzy set theory for representing the car-following phenomena and its application to platoon operation. The proposed model has simplified the model developed by Chakravorty by using just 36 rules. The proposed model directly addresses the fact that the distance headway maintained between vehicles is a function of speed by utilizing empirical speed-headway data. This allows the model to maintain an accurate headway at any speed. An additional advantage of using this speed-headway data is that drivers with different personalities may be simulated. The major focus of the proposed model is to simulate the propagation of vehicle-to-vehicle interaction along a platoon of vehicles. The model results are compared to the actual driver behavior observed on the highway using a test vehicle. The model allows analysis of the asymptotic stability of the platoon under various conditions, such as when different types of drivers are in the platoon. The proposed model has also performed well in the examination of emergency conditions and traffic signal release and stopping situations.","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":"31 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":"115997660","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 reasoning: an alternative to approximate reasoning theory 模糊推理:近似推理理论的另一种选择
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.1995.527741
W. Siler, J. Buckley
{"title":"Fuzzy reasoning: an alternative to approximate reasoning theory","authors":"W. Siler, J. Buckley","doi":"10.1109/ISUMA.1995.527741","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527741","url":null,"abstract":"Applications of fuzzy logic to fuzzy control are very popular. However, for more general fuzzy reasoning problems, there are a number of important ideas that must be addressed. We discuss these topics: (1) The theory of approximate reasoning may be of dubious utility in fuzzy reasoning systems: we present examples of fuzzy rules which cannot be evaluated by approximate reasoning. (2) In fuzzy reasoning, it is intuitive that defuzzification be the inverse of fuzzification. (3) In some situations, the excluded middle law should be obeyed; this can be easily accomplished by switching to the Lukasiewicz logic when ANDing or ORing incompatible conditions. (4) Prior knowledge of confidences in data and of grades of membership of discrete fuzzy sets must be taken into account if multi-step reasoning is to be carried out. (5) A general-purpose fuzzy reasoning system should be a generalization of a non-fuzzy artificial intelligence based reasoning system, and should be able to do what nonfuzzy reasoning systems can do.","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":"109 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":"115452385","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
Bayesian inference based upon fuzzy events 基于模糊事件的贝叶斯推理
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.1995.527674
B. Yuan, G. Klir
{"title":"Bayesian inference based upon fuzzy events","authors":"B. Yuan, G. Klir","doi":"10.1109/ISUMA.1995.527674","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527674","url":null,"abstract":"The purpose of the paper is to show that, contrary to the claims of some probabilists of the Bayesian trade, probability theory relates to fuzzy set theory in a similar way as it relates to classical set theory. Examining the well known proof by R.T. Cox (1946), whose aim is to justify the rules of classical Bayesian inference, we point to some weaknesses of the proof and show that it does not exclude the possibility of alternative rules of Bayesian inference based on fuzzy events.","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":"125566339","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
Pavement management decision analysis using belief functions in valuation-based systems 基于价值系统中信念函数的路面管理决策分析
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.1995.527706
N. Attoh-Okine
{"title":"Pavement management decision analysis using belief functions in valuation-based systems","authors":"N. Attoh-Okine","doi":"10.1109/ISUMA.1995.527706","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527706","url":null,"abstract":"A valuation-based system (VBS) for belief-function theory is applied to pavement management system (PMS) decision-making. The VBS provides a general framework for representing knowledge and drawing inferences under uncertainty. A VBS network is constructed and potentials are introduced in the form of belief functions (or basic probability assignments) in a PMS decision-making environment. A valuation network is another method of representing and solving Bayesian decision problems. It is based on the framework of VBSs. Valuation networks depict decision variables, random variables, utility functions and information constraints. The solution method for the valuation network is called a fusion algorithm, and Dempster's rule of combination can be successfully applied in this framework. It is shown that this approach can capture quantitative, qualitative and incomplete information in PMS decision-making.","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":"18 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":"124924414","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
Quality assurance and control (QAC) of uncertainty models and simulations of life cycle assessment (LCA) 生命周期评价(LCA)不确定性模型与仿真的质量保证与控制
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.1995.527702
O. A. Asbjornsen
{"title":"Quality assurance and control (QAC) of uncertainty models and simulations of life cycle assessment (LCA)","authors":"O. A. Asbjornsen","doi":"10.1109/ISUMA.1995.527702","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527702","url":null,"abstract":"The life cycle analyst in systems engineering and environmental engineering is associated with large uncertainties, being of a forecasting or predictive nature. Various approaches are used to estimate trends in the life cycle, either by its probabilistic nature or by fuzzy variables. Regardless of the approach, the models are used for decision support and need to be assured and controlled for their quality in describing the real situation. This paper draws attention to this problem, and suggests methods for cross-checking simulation models, by various methods based on underlying fundamental principles, asymptotic conditions, average properties, submodel interrelations, etc. A generic systems engineering principles approach is used in developing the model of the life cycle. This approach is based on analyses and justifications of needs and a definition of requirements for the model and its simulation results.","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":"130 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":"121953819","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
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