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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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Modeling temporal uncertainty in microprocessor systems 微处理器系统时间不确定性建模
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.1995.527664
S. M. Yuen, K. Lam
{"title":"Modeling temporal uncertainty in microprocessor systems","authors":"S. M. Yuen, K. Lam","doi":"10.1109/ISUMA.1995.527664","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527664","url":null,"abstract":"In microprocessor system diagnosis, temporal reasoning of event changes occurring at imprecisely known time instants is an important issue. The time range approach was proposed to capture the notion of time imprecision in event occurrence. According to this concept, efficient time range constraint reasoning techniques were developed for embedding domain knowledge in a deep level constraint model. The imprecision in these events contributes to a certain degree of uncertainty in the correctness of a microprocessor system operation. A knowledge based diagnostic system for microprocessor systems design was designed and developed. The system performs worst case timing analysis. In particular, for the asynchronous bus operation of the MC68000 microprocessor, the sequence of events during a read cycle was traced through an inference process to determine if any constraint in the model was violated Although satisfactory results were obtained, the possibility measures implicitly embedded within time ranges were not properly quantified for effective temporal reasoning. To overcome this shortcoming, the fuzzy time point model is proposed. The original time range representation, specified by two crisp interval end points, is replaced by the fuzzy time point representation that is specified by a single fuzzy value. The degree of fuzziness of a fuzzy time point has dependency on the functional specification of the corresponding timing parameter. The use of simplistic assumptions on the fuzzy time point model has been shown to enhance the deductive capability of the existing time range models.","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":"124274577","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
Multiple criteria decision making (MCDM) using fuzzy logic: an innovative approach to sustainable agriculture 基于模糊逻辑的多准则决策:可持续农业的创新途径
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.1995.527746
L. A. Marks, E. G. Dunn, J. Keller, L. Godsey
{"title":"Multiple criteria decision making (MCDM) using fuzzy logic: an innovative approach to sustainable agriculture","authors":"L. A. Marks, E. G. Dunn, J. Keller, L. Godsey","doi":"10.1109/ISUMA.1995.527746","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527746","url":null,"abstract":"For a farming system to be considered sustainable, certain economic, environmental, and social criteria need to be met. An approach which integrates measures of achievement in these three areas has been lacking in the past. It is argued that the combination of multiple criteria decision making (MCDM) and fuzzy logic provides a promising theoretical framework for the evaluation of alternative farming systems. Three well-known MCDM methods are described to illustrate a range of problems that may arise using conventional MCDM methods. These problems include: (1) the treatment of noncommensurate units; (2) the ranking procedure for a solution; and, (3) the degree of discrimination between attribute values, and, hence alternatives. The combination of MCDM and fuzzy logic provides a superior methodology which overcomes some of these problems.","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":"123724497","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: 32
A neural mode shape identifier 一种神经模式形状识别器
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.1995.527756
M. Hassan, B. Ayyub
{"title":"A neural mode shape identifier","authors":"M. Hassan, B. Ayyub","doi":"10.1109/ISUMA.1995.527756","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527756","url":null,"abstract":"A first stage for a fuzzy neural active controller is developed. Neural network technology is utilized in the real time identification of the mode of vibration of any structural system under seismic loading. The parallel processing nature of neural networks fit the nature of multi degree of freedom systems. Such a property would result in considering the whole structure and eliminating the need for problem reduction. The proposed mode identifier is a multilayer neural network. The pattern identification process is considered a state evaluation stage that is required as a first step in the development of a fuzzy neural active controller. Such a controller would select a suitable fuzzy control strategy based on the identified displacement pattern.","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":"39 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":"128453802","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
Medical image compression with neural nets 基于神经网络的医学图像压缩
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.1995.527758
A. Steudel, S. Ortmann, M. Glesner
{"title":"Medical image compression with neural nets","authors":"A. Steudel, S. Ortmann, M. Glesner","doi":"10.1109/ISUMA.1995.527758","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527758","url":null,"abstract":"A nonlinear 5 layer artificial neural autoencoder network for image data compression is constructed and trained using the back propagation algorithm and medical CT images. The influence of linear and nonlinear pre/postprocessing operations is studied as well as an alternative compression scheme. Important implementational issues of neural networks are addressed as well as autoencoder issues. One of the results of this work is a compression/decompression tool that provides maximum flexibility and can be used independently from the training environment.","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":"29 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":"127850086","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
Fuzzy scheduling in compilers optimizations 编译器优化中的模糊调度
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.1995.527753
O. Hammami
{"title":"Fuzzy scheduling in compilers optimizations","authors":"O. Hammami","doi":"10.1109/ISUMA.1995.527753","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527753","url":null,"abstract":"Cache memories are essential components in all existing commercial microprocessors. In order to attain best performance, cache memories have to be managed either with hardware support or compiler support. The compiler approach makes use of specialized cache memory management instructions to generate an optimal management. This is done by generating an optimal scheduling of these specialized instructions for the program being compiled. Up to now, conservative approaches have been used to tackle this issue despite the occurrence of unpredictable real time events and the fact that many variables are imprecise. This explains the unstable performances of these algorithms varying from excellent to very poor. We propose to make use of a fuzzy scheduling approach to deal with the problem.","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":"9 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":"125595048","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
Design of fuzzy seawater lift pump system in fossil fired power plant 火电厂模糊海水提升泵系统设计
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.1995.527694
Byung-Soo Cho, C. Moon
{"title":"Design of fuzzy seawater lift pump system in fossil fired power plant","authors":"Byung-Soo Cho, C. Moon","doi":"10.1109/ISUMA.1995.527694","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527694","url":null,"abstract":"The Sea Water Lift Pump (SLP) system is responsible for maintaining the open canal level to provide the suction flow of Circulating Water Pump (CWP) at the set point. The response of the SLP system is so slow that it is difficult to maintain an optimal open canal level by manual or two step pump speed control operation and to reduce overflow of seawater. The objective of this paper is to apply the fuzzy control method, which can utilize the flexibility and the heuristic operation strategy employed by operators, to SLP system in fossil fired power plant. In order to verify a proposed fuzzy system, we developed simplified models such as mathematical model of SLP, CWP, seawater level and intake canal. The result of the simulation test shows that the proposed fuzzy control method can reflect successfully the experience gained in skilled manual operation. It is expected that the fuzzy control can contribute to the reduction of power consumption of SLP, human error and man power, and to the improvment of the reliability and safety of the plant operation.","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":"8 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":"126799286","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
Developing robust system designs under uncertainty: a systematic approach to design evaluation 在不确定条件下开发稳健的系统设计:设计评估的系统方法
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.1995.527695
C. Duan
{"title":"Developing robust system designs under uncertainty: a systematic approach to design evaluation","authors":"C. Duan","doi":"10.1109/ISUMA.1995.527695","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527695","url":null,"abstract":"To develop quality systems, both engineering and management require fundamental principles and methodologies to guide design decision making and advanced planning. This paper presents a systematic approach to support the need for developing better system designs in the face of uncertainties. This approach is developed by integrating statistical decision theory, elements of the systems engineering process, and Taguchi's philosophy of robust design. The result is a structured, systematic methodology for evaluating system design alternatives.","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":"21 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":"115659432","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
Hierarchical classification inference for fuzzy data analysis 模糊数据分析的层次分类推理
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.1995.527729
J. V. D. van der Lubbe, E. Backer
{"title":"Hierarchical classification inference for fuzzy data analysis","authors":"J. V. D. van der Lubbe, E. Backer","doi":"10.1109/ISUMA.1995.527729","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527729","url":null,"abstract":"One of the main problems in fuzzy data analysis is the clustering of data. In this paper an expert system approach is followed. On the basis of training data sets a hierarchical knowledge tree is generated consisting of rules that are characterized by an increasing specificity. The hierarchical knowledge is used for inferring decisions on new data sets to be assessed. In order to reduce further the computational complexity the core zone index is introduced, which guarantees the optimal search level in the hierarchical knowledge tree.","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":"225 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":"122474364","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
Inverse approximate reasoning: maximize entropy 逆近似推理:最大熵
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.1995.527781
E. Eslami, J. Buckley
{"title":"Inverse approximate reasoning: maximize entropy","authors":"E. Eslami, J. Buckley","doi":"10.1109/ISUMA.1995.527781","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527781","url":null,"abstract":"We consider the problem of given the conclusion of a fuzzy rule, find in some sense the \"best\" data (input) that will produce the given conclusion. In this paper we investigate the use of the principle of maximum entropy to solve this problem.","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":"121857234","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
Design of a digital fuzzifier based on successive approximation 基于逐次逼近的数字模糊控制器设计
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.1995.527750
T. Hung, K. Watson
{"title":"Design of a digital fuzzifier based on successive approximation","authors":"T. Hung, K. Watson","doi":"10.1109/ISUMA.1995.527750","DOIUrl":"https://doi.org/10.1109/ISUMA.1995.527750","url":null,"abstract":"In this paper, we present a design of a digital dynamic fuzzifier based on successive approximation. It is suitable for on-line training or on-line adaptive fuzzy control systems. With the parameters of the triangle or trapezoid membership functions and the number to be fuzzified as the inputs, it automatically calculated the proper membership values for the fuzzy control systems. The chip is designed with a standard cell approach and implemented in the MOSIS CMOS 2 /spl mu/m technology. For 4-bit inputs, there are 1,744 transistors in the chip and the size of the chip is 1,515 /spl mu/m by 1,088 /spl mu/m. From the hspice simulation results with 4-bit numbers as inputs, the maximum delay is 30 ns for a two-bit output.","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":"48 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":"132761214","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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