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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference最新文献

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The implementation of the fuzziness index: examining relationships between intellectual abilities, age, gender, and fuzziness on several psychological dimensions 模糊指数的实施:在几个心理维度上考察智力、年龄、性别和模糊之间的关系
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343898
S. Takayanagi
{"title":"The implementation of the fuzziness index: examining relationships between intellectual abilities, age, gender, and fuzziness on several psychological dimensions","authors":"S. Takayanagi","doi":"10.1109/FUZZY.1994.343898","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343898","url":null,"abstract":"The implementation of the fuzziness index in measuring response style in psychosocial questions was examined, The fuzziness index revealed significant individual differences in response styles in psychological questionnaires, Significant correlations between the fuzziness in psychosocial behaviors and intellectual abilities were presented. The study highlighted the future possibility in modeling the degree and location of fuzziness in order to better understand enormously diverse human characteristics and psychological systems.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114546058","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-based probabilistic relaxation for textured image segmentation 基于模糊概率松弛的纹理图像分割
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343714
Chun-Shien Lu, P. Chung
{"title":"Fuzzy-based probabilistic relaxation for textured image segmentation","authors":"Chun-Shien Lu, P. Chung","doi":"10.1109/FUZZY.1994.343714","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343714","url":null,"abstract":"This paper describes a fuzzy-based probabilistic relaxation (FPR) for textured image segmentation. The FPR is developed based on an improvement of the conventional probabilistic relaxation which stops after the first few iterations even when the results are still far from satisfaction. The incapability of further improvement in the conventional probabilistic relaxation is detected by a proposed measure of fuzziness. In our FPR, probabilities in the relaxation are suitably adjusted/fuzzified based on a membership function to remove their crisp property such that further improvement can proceed. Experimental results indicate that the fuzzy-based probabilistic relaxation significantly improves the relaxation quality, especially for the textured images composed of components of significantly different sizes. Comparisons with conventional relaxation have also been conducted.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117046837","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
First evaluation of fuzzy MIMO control laws 模糊MIMO控制律的首次评价
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343726
C. Raymond, S. Boverie, A. Titli
{"title":"First evaluation of fuzzy MIMO control laws","authors":"C. Raymond, S. Boverie, A. Titli","doi":"10.1109/FUZZY.1994.343726","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343726","url":null,"abstract":"This paper presents two fuzzy multivariable control structures based on a qualitative modelling of a process. We use a benchmark to compare the results obtained with the fuzzy strategies and those with an LQ control law.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152986","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: 13
Understanding relations between fuzzy logic and evidential reasoning methods 理解模糊逻辑和证据推理方法之间的关系
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343554
P. Palacharla, P. Nelson
{"title":"Understanding relations between fuzzy logic and evidential reasoning methods","authors":"P. Palacharla, P. Nelson","doi":"10.1109/FUZZY.1994.343554","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343554","url":null,"abstract":"The world around us is very uncertain and unpredictable. No bivalent logic (also called Boolean or binary logic or law of excluded middle) can possibly solve real world problems without over simplification. Many approximate reasoning (also called multi-valued, or continuous or fuzzy logic) methods have been proposed and applied to the real world problems. These methods differ in the way they represent uncertainty and handle uncertainty in the real world problems. In this paper we study, compare and understand relations between fuzzy logic and evidential reasoning methods for application to data fusion problem in transportation engineering.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116406858","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
Applications of fuzzy logic and software development in Switzerland 模糊逻辑和软件开发在瑞士的应用
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343827
J. Hess
{"title":"Applications of fuzzy logic and software development in Switzerland","authors":"J. Hess","doi":"10.1109/FUZZY.1994.343827","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343827","url":null,"abstract":"Discusses fuzzy logic and software development in Switzerland, from a strictly entrepreneurial point of view. Ideas tend to progress from philosophy to religion, from there to technology, and if there is a customer benefit, they will make it into business. In Switzerland, the jury is still out on what fuzzy logic really is, but we do have a quiet and persistent way to go about its business, especially since we know that our friends from Japan are doing exactly that. I like to split the activities that I watch happening and sometimes take an active part in, into \"me-too fuzzy logic\" and various selected fuzzy logic projects: medical applications; management decision support applications; sound-based quality control; and image processing based quality control. At the end of the paper, I speculate on some coming products that I believe in and their impact on the way we look at learning and computing.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123679319","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
A cluster estimation method with extension to fuzzy model identification 一种扩展到模糊模型辨识的聚类估计方法
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343644
S. Chiu, Rockwell
{"title":"A cluster estimation method with extension to fuzzy model identification","authors":"S. Chiu, Rockwell","doi":"10.1109/FUZZY.1994.343644","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343644","url":null,"abstract":"We present an efficient method for estimating cluster centers of numerical data. This method can be used to determine the number of clusters and their initial values for initializing iterative optimization-based clustering algorithms such as fuzzy C-means. Here were combine this cluster estimation method with a least squares estimation algorithm to provide a fast and robust method for identifying fuzzy models from input/output data. A benchmark problem involving the prediction of a chaotic time series shows this method compares favourably with other more compositionally intensive methods.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117248498","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: 163
Solving fuzzy relational equations by max-min neural networks 用最大最小神经网络求解模糊关系方程
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343594
A. Blanco, M. Delgado, I. Requena
{"title":"Solving fuzzy relational equations by max-min neural networks","authors":"A. Blanco, M. Delgado, I. Requena","doi":"10.1109/FUZZY.1994.343594","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343594","url":null,"abstract":"The problem of identifying a fuzzy system has been faced from several points of view which include statistical methods, neural networks and relational equation-solving approaches. In this paper, we present the use of a neural network without any activation function in order to identify a fuzzy system through the solution of a fuzzy relational equation from a set of examples. The main contribution of this work is to define a \"smooth derivative\" to be used in the minimization of the energy function which drives the learning procedure. Some examples show the effectiveness of this new approach.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993517","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: 22
Customer-adaptive fuzzy logic control of home heating system 家庭供暖系统的用户自适应模糊逻辑控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343569
C. von Altrock, H.-O. Arend, B. Krausse, C. Steffens
{"title":"Customer-adaptive fuzzy logic control of home heating system","authors":"C. von Altrock, H.-O. Arend, B. Krausse, C. Steffens","doi":"10.1109/FUZZY.1994.343569","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343569","url":null,"abstract":"To maximize both heating economy and comfort of a private home heating system, fuzzy logic control has been used by a German company in a new generation of furnace controllers. The fuzzy logic controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy logic controller and the conventional control system were implemented on a standard g-bit microcontroller. The design, optimization and implementation of the fuzzy controller was supported by the software development system fuzzyTECH.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126138005","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: 11
Fuzzy plane geometry: triangles 模糊平面几何:三角形
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343854
A. Rosenfeld
{"title":"Fuzzy plane geometry: triangles","authors":"A. Rosenfeld","doi":"10.1109/FUZZY.1994.343854","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343854","url":null,"abstract":"A fuzzy triangle T (with a discrete-valued membership function) can be regarded as a nest of parallel-sided triangles T/sub i/ with successively higher membership values. Such a nest is determined by its max projections on any two of its \"sides\". The area (perimeter) of T is a weighted sum of the areas (perimeters) of the T/sub i/'s. The side lengths and altitudes of T can also be defined as weighted sums obtained from projections; using these definitions, the perimeter of T is the sum of the side lengths, and the side lengths are related to the vertex angles by the Law of Sines, but there is no simple relationship between the area of T and the products of the side lengths and altitudes.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124779479","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: 35
The aggregation of information by examples via fuzzy sensors 基于模糊传感器的实例信息聚合
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343574
G. Mauris, E. Benoit, L. Foulloy
{"title":"The aggregation of information by examples via fuzzy sensors","authors":"G. Mauris, E. Benoit, L. Foulloy","doi":"10.1109/FUZZY.1994.343574","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343574","url":null,"abstract":"The problem of the aggregation of complementary information is a crucial point in the monitoring of large intelligent systems. The paper deals with the cases in which we do not have an analytical mathematic model to derive new information, nor a rule-based model at our disposal, but only a few examples expressed in a linguistic manner by basic fuzzy sensors. We explain within the frame of the fuzzy subset theory how the numeric-linguistic conversion is carried out inside a sensor, called a fuzzy sensor. Next, we present a method to extract rules from the examples studied, and how to obtain in this way a linguistic description of comfort from linguistic measurements of temperature and humidity. Finally, the advantages of our approach are pointed, out as well as the developments to come to improve the process of linguistic modelling from examples.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129889094","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: 6
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