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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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Application of genetic algorithm to design of artificial ground 遗传算法在人工地面设计中的应用
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.1995.527676
A. Hirose, H. Furuta, T. Nakatani
{"title":"Application of genetic algorithm to design of artificial ground","authors":"A. Hirose, H. Furuta, T. Nakatani","doi":"10.1109/ISUMA.1995.527676","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527676","url":null,"abstract":"Recently, genetic algorithms have gained attention as a powerful method for solving combinatorial problems with discrete variables and discontinuous functions. The ability to treat discrete variables and complex functions without derivatives seems to be advantageous and promising for various practical problems, because most real planning, design and construction problems include discrete variables and quite complex and ambiguous evaluation functions.","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":"5 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":"114104137","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
Combinability functions in defuzzification 可组合性在去模糊化中起作用
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.1995.527744
David Swiatlowski, C. Isik
{"title":"Combinability functions in defuzzification","authors":"David Swiatlowski, C. Isik","doi":"10.1109/ISUMA.1995.527744","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527744","url":null,"abstract":"We overview various knowledge-based defuzzification functions from a system modeling and controls perspective, and introduce a new variant which is useful in applications where fuzzy variables are related to deviations from a norm, such as feedback control. We also summarize results of simulation experiments.","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":"40 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":"124267042","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 dimensional analysis 模糊量纲分析
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.1995.527775
E. Lewis
{"title":"Fuzzy dimensional analysis","authors":"E. Lewis","doi":"10.1109/ISUMA.1995.527775","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527775","url":null,"abstract":"Dimensional analysis enables engineers to reduce the computational complexity of engineering analysis and effectively utilize dynamic scale modeling and simulation. Prior to the age of powerful digital computers and numerical methods for complex design problems, dimensional analysis was critical to the development of large scale complex dynamic physical systems. While fuzzy mathematics provides the tools for dealing with fuzzy systems, complexity of problem formulation and computation costs still seriously limit analysis of large scale \"people-in-the-loop\" fuzzy systems. Use of dimensional analysis should improve the quality, lower costs and reduce the time to analyze complex fuzzy 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":"123615793","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 reasoning for decision making in object recognition 模糊推理在目标识别中的应用
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.1995.527687
E. Walker
{"title":"Fuzzy reasoning for decision making in object recognition","authors":"E. Walker","doi":"10.1109/ISUMA.1995.527687","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527687","url":null,"abstract":"The area of object recognition has a long history as a subarea of computer vision, with most systems using either probabilistic or heuristic methods for reasoning about the uncertainty inherent in sensed images. The paper highlights recent work in applying fuzzy set theory to the two main processes in object recognition: grouping and matching. Fuzzy sets are a natural model for both grouping and matching, using membership values to represent the degree to which groups of image features satisfy a grouping relationship, as well as the degree to which a group of image features matches an object model. This methodology can be extended to hierarchical grouping and matching as well. Finally, we describe how fuzzy reasoning can enhance an existing sophisticated object recognition 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":"35 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":"124780548","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
Ordering fuzzy numbers with application to fuzzy linear programming 模糊数排序及其在模糊线性规划中的应用
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.1995.527732
A. M. El-Abyad
{"title":"Ordering fuzzy numbers with application to fuzzy linear programming","authors":"A. M. El-Abyad","doi":"10.1109/ISUMA.1995.527732","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527732","url":null,"abstract":"We present an approach for ordering fuzzy numbers, then we utilize it to suggest two models for solving the fuzzy linear programming (FLP) problem. In this research we present a new approach for ordering two fuzzy numbers and show some practical advantages of it over other methods. We also utilize the suggested approach to introduce two techniques to solve the FLP problem. In the first technique, we convert the fuzzy linear program into a crisp bicriteria linear program. In this new model the fuzzy objective function is replaced by two crisp objectives to be optimized, and each fuzzy constraint is replaced by two or three crisp constraints depending on the level of certainty /spl alpha/-whether /spl alpha/ has or has not been assigned. In the second technique we find the possibility distribution of the objective function over all possible feasible decisions directly.","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":"88 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":"126201357","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
Handling uncertainty in finance applications using soft computing 使用软计算处理金融应用中的不确定性
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.1995.527726
Michael A. Lee, Michael H. Smith
{"title":"Handling uncertainty in finance applications using soft computing","authors":"Michael A. Lee, Michael H. Smith","doi":"10.1109/ISUMA.1995.527726","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527726","url":null,"abstract":"We identify applications of soft computing techniques to finance applications. The disadvantages and advantages of techniques used in these applications are outlined and a novel approach is proposed. The proposed system focuses on the issue of learning representations and adaptive learning algorithms through the combination of neural, fuzzy, and evolutionary algorithm techniques.","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":"128431655","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
A computerized prototype model for evaluating the failure in bidding strategies 评估投标策略失败的计算机原型模型
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.1995.527793
Z. A. Eldukair
{"title":"A computerized prototype model for evaluating the failure in bidding strategies","authors":"Z. A. Eldukair","doi":"10.1109/ISUMA.1995.527793","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527793","url":null,"abstract":"Bidding strategies is a process of selecting the best approach to get a project from a group of projects and with the influence of competitors. The evaluation of bidding strategies usually involves a complex decision-making process since subjective judgment plays a major role in effecting the decision process. The process for assessing and evaluating contractors bidding strategies is dependent in most projects on subjective expertise judgment based on a certain number of criteria elements. The importance and the level of contribution of each criteria element can be estimated based on experience and judgment of qualified cost engineers. In this paper, a computerized model for evaluating the reasons for failure in bidding strategies is presented. The model is based on a Fuzzy-Probabilistic Deductive Tree Analysis Approach (FPDTA). This model involves identifying a possible condition of the bidding strategy system and determining the various events and combination of the criteria that contribute to the occurrence of that condition.","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":"14 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":"128791647","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
Teaching of uncertainty analysis and risk assessment in civil engineering 土木工程不确定性分析与风险评估教学
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.1995.527719
K. Chou, P. C. Hoffman, J.T.P. Yao
{"title":"Teaching of uncertainty analysis and risk assessment in civil engineering","authors":"K. Chou, P. C. Hoffman, J.T.P. Yao","doi":"10.1109/ISUMA.1995.527719","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527719","url":null,"abstract":"There have been many research results related to uncertainty analysis and risk assessment during the past several decades. However, practical applications of these results remain scarce. The slow growth in interest, both in academic and among practicing engineers, in rigorous risk assessment and uncertainty analysis signals a need to reexamine our current means and practice of delivering the risk assessment education to our students. In this paper, a discussion on various techniques in teaching uncertainty analysis and its applications to engineering decision-making are presented. In addition, steps are recommended to develop a decision making framework for the environmental and infrastructure 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":"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":"126266027","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
Application of genetic algorithm to bridge construction management 遗传算法在桥梁施工管理中的应用
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.1995.527677
Y. Natsuaki, H. Furuta, S. Mukandai, K. Yasuda
{"title":"Application of genetic algorithm to bridge construction management","authors":"Y. Natsuaki, H. Furuta, S. Mukandai, K. Yasuda","doi":"10.1109/ISUMA.1995.527677","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527677","url":null,"abstract":"Genetic algorithms (GA) have attracted attention in recent years as a method of solving combinatorial optimization problems. This research is an application of these algorithms to the problem of determining the laying sequence for a continuous girder reinforced concrete floor system. If the number of design variables and the number of combinations are large, it is often impossible to obtain a solution with a simple GA. In this research, we applied GA to a 3-span continuous girder composed of 33 panels, and improved the GA operators. As a result were able to obtain a practical solution.","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":"5 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":"127442344","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
Comparison of spatial relation definitions in computer vision 计算机视觉中空间关系定义的比较
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.1995.527776
J. Keller, Xiaomei Wang
{"title":"Comparison of spatial relation definitions in computer vision","authors":"J. Keller, Xiaomei Wang","doi":"10.1109/ISUMA.1995.527776","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527776","url":null,"abstract":"Humans are quite adept at recognizing and labeling regions and objects in visual scenes. One of the cues for such labeling is the spatial relationships exhibited among the regions. This is usually coupled with the interpreter's understanding and expectations of scene content. For example, it is normally the case that, in a natural outdoor scene, the sky should be above the trees and that vehicles should be on a road. Context plays a very important role in the interpretation of an image. This determination of spatial relations has been a difficult task to automate. There have been several attempts at defining spatial relationships between regions in a digital image, most recently, with the use of fuzzy set theory. In this paper, we examine three methods for defining spatial relations to gain insight into this complex situation.","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":"38 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":"121864050","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: 59
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