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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)最新文献

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A linguistic approach to specificity 专一性的语言学方法
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781707
C. Butler, J. Yen
{"title":"A linguistic approach to specificity","authors":"C. Butler, J. Yen","doi":"10.1109/NAFIPS.1999.781707","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781707","url":null,"abstract":"Understanding the level of uncertainty associated with a prediction is valuable in determining its utility in decision making. One measure of information is R.R. Yager's (1982) notion of specificity. Yager views specificity as the degree to which a possibility distribution points to a single element in the universe of discourse (U). Specificity in relation to U may complicate its utility in the optimization of fuzzy models in their linguistic space. An increase in granularity is useful to measure the amount of information contained in a possibility distribution in relation to fuzzy sets as opposed to U. This abstracted view of specificity motivates the need for a more generalized version of specificity, denoted linguistic specificity (Sp/sub L/), where alternatives are measured in relation to the linguistic terms. Such a generalization is useful in support of automating decisions in a fuzzy domain. Results of the linguistic specificity measure are illustrated using an automobile fuel consumption example.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114241327","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
A characterization of information quality using fuzzy logic 用模糊逻辑表征信息质量
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781771
Sylvanus A. Ehikioya
{"title":"A characterization of information quality using fuzzy logic","authors":"Sylvanus A. Ehikioya","doi":"10.1109/NAFIPS.1999.781771","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781771","url":null,"abstract":"In this paper, we examine how to adequately engineer an information system that is guaranteed to produce high quality information. We also characterize the dimensions of information quality from the perspective of a systems designer. This relates directly with our view that information is an engineered product coming out of the information manufacturing processing system. Further, we integrate fuzzy sets/logic concepts into our model to facilitate the characterization of the continuum of information quality since information quality is highly contextual and dependent on the user.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114445204","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
Fuzzy methods for automated inspection of food products 食品自动检验的模糊方法
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781826
V. Davidson, T. Chu, J. Ryks
{"title":"Fuzzy methods for automated inspection of food products","authors":"V. Davidson, T. Chu, J. Ryks","doi":"10.1109/NAFIPS.1999.781826","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781826","url":null,"abstract":"Automated product inspection is of considerable interest to food manufacturers since human inspectors currently perform a substantial amount of on-line inspection. At a low-level of information processing, machine vision offers advantages of objective and consistent assessment. However machine vision systems are frequently used for grading and quality control. In these applications, it is necessary to integrate a number of physical features to make an inference about overall quality that is consistent with consumer judgements. The work presented in this paper focuses on quality assessment of chocolate chip cookies based solely on visual features. Digital images were used to define physical characteristics of cookies produced on a commercial bakery line. Consumers were asked to rate typical cookies on a line scale. A number of fuzzy systems were developed to make quality control decisions based on features extracted from digital images. Results from two fuzzy systems are compared to consumer results from a validation test.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130541754","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
Conditional subjective probability and fuzzy theory 条件主观概率与模糊理论
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781657
G. Coletti, R. Scozzafava
{"title":"Conditional subjective probability and fuzzy theory","authors":"G. Coletti, R. Scozzafava","doi":"10.1109/NAFIPS.1999.781657","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781657","url":null,"abstract":"Our aim is to propose an interpretation of fuzzy set theory in terms of conditional events and coherent conditional probabilities. During the past few years, a large number of papers have been devoted to support either the thesis that probability theory is all that is required for reasoning about uncertainty, or the negative view maintaining that probability is inadequate to capture what is usually treated by fuzzy theory. In this paper (containing only some preliminaries results: our research is still in progress) we emphasize the role of conditioning (in a proper framework, i.e. de Finetti's approach to subjective probability through coherence) to get rid of many controversial aspects.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067640","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
System identification via a virtual higher-resolution fuzzy model 基于虚拟高分辨率模糊模型的系统辨识
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781743
K. M. Chow, A. Rad
{"title":"System identification via a virtual higher-resolution fuzzy model","authors":"K. M. Chow, A. Rad","doi":"10.1109/NAFIPS.1999.781743","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781743","url":null,"abstract":"A fuzzy identification algorithm with an inherent knowledge generalization mechanism is reported in this paper. In the proposed identification algorithm, a low-resolution fuzzy model is used to mimic the effect of a virtual higher-resolution model. The gradient descent optimization method is then applied to update the rule-base by using the difference between the actual system output and the model output. Simulation studies are included to demonstrate the performance of the algorithm.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116116063","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
Envelope of plausibility defined by a new fuzzy implication operator 由一种新的模糊蕴涵算子定义的可信性包络
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781794
J. Daams
{"title":"Envelope of plausibility defined by a new fuzzy implication operator","authors":"J. Daams","doi":"10.1109/NAFIPS.1999.781794","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781794","url":null,"abstract":"A new implication operator is proposed, based on fuzzy entailment. Using a kernel and new measures of distance between fuzzy sets, it generates a set of fuzzy conclusions of various degrees of plausibility, rather than a single fuzzy conclusion. This set of plausible conclusions generates an envelope of plausibility, which is also a fuzzy set. The kernel can be chosen to make the envelope assume any reasonable shape surrounding the rule output, e.g., a Gaussian curve, or a set with a finite support, or the output of the Zadeh implication operator. As operator input becomes increasingly dissimilar to rule input, the envelope spreads further outside the rule output. The kernel can also be chosen to encode assumptions about system response, such as the degree of predictability/nonlinearity, the fractal dimension and the maximum possible rate of change of the output with respect to the input. The new distance functions permit speculative conclusions even when operator input does not intersect rule input. Since the operator's output is speculative, an analogous assumption-free belief envelope is also defined for comparison.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103170","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
Discrete fuzzy dynamical systems 离散模糊动力系统
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781656
H. Román-Flores, A. Flores-Franulic
{"title":"Discrete fuzzy dynamical systems","authors":"H. Román-Flores, A. Flores-Franulic","doi":"10.1109/NAFIPS.1999.781656","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781656","url":null,"abstract":"The aim of this paper is to present some results on approximation of fuzzy systems.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190192","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
Importance weighted OWA aggregation of multicriteria queries 多条件查询的重要性加权OWA聚合
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781792
H.L. Larsen
{"title":"Importance weighted OWA aggregation of multicriteria queries","authors":"H.L. Larsen","doi":"10.1109/NAFIPS.1999.781792","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781792","url":null,"abstract":"The family of ordered weighted averaging (OWA) operators, as introduced by R.R. Yager (1988), appears to be very useful in flexible query answering, including information retrieval, where the information needs are often modeled by an aggregation (of the criteria in the query) between /spl and/ (pure AND) and V (pure OR). In this paper, we discuss and set up a general set of requirements for importance-weighted aggregation, and show that an importance weighting scheme suggested by Yager (1977) for OWA operators satisfies the requirements. The weighted arithmetic mean is shown to be order-equivalent to the special case of importance-weighted OWA operators where the importance-weighted satisfaction of the criteria are weighted evenly in the OWA aggregation.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225048","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: 43
The effect of spatiotemporal sampling strategies and data acquisition accuracy on the characterization of a dynamic ecological system 时空采样策略和数据采集精度对动态生态系统表征的影响
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781810
P. Graniero
{"title":"The effect of spatiotemporal sampling strategies and data acquisition accuracy on the characterization of a dynamic ecological system","authors":"P. Graniero","doi":"10.1109/NAFIPS.1999.781810","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781810","url":null,"abstract":"Ecosystems generally have a great number of interacting processes, and their characteristics can vary rapidly across both space and time. With such complexity, it can be difficult to collect sufficient data to adequately understand the behaviour of the observed system. This paper describes a method being used to examine the relationship between sampling accuracy and classification fuzziness. A simulation model acts as a surrogate for a \"real-world\" resource-habitat system. Samples are collected from the running simulation according to different classification schemes, and the ability to map species habitat by resource levels from each sample are compared to the actual simulation behaviour. The balance between sampling accuracy and the vagueness within the classification scheme compared to the complexity of the modelled system is discussed.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125055929","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
Validation of fuzzy and crisp c-partitions 模糊和清晰c分区的验证
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI: 10.1109/NAFIPS.1999.781711
H. Hassar, A. Bensaid
{"title":"Validation of fuzzy and crisp c-partitions","authors":"H. Hassar, A. Bensaid","doi":"10.1109/NAFIPS.1999.781711","DOIUrl":"https://doi.org/10.1109/NAFIPS.1999.781711","url":null,"abstract":"We propose a comparative study of crisp and fuzzy cluster validity measures; we focus mainly on the generalized definitions of Dunn's indices (GDI). We propose three fuzzy versions of GDI indices: plain fuzzy GDI indices using directly the fuzzy membership degrees, (\"semi-fuzzy\") GDI indices using fuzzy membership degrees only of points that are found (after defuzzification) to belong crisply to a cluster, and fuzzy GDI indices combined with a measure of cluster fuzziness. Two types of cluster fuzziness measure are proposed: (i) classical fuzziness measures (H) based on fuzzy membership grades of all data points in a cluster, and (ii) fuzziness measures (H/sup Semi/) that use only fuzzy membership values of data points found to belong crisply to the cluster. Numerical experiments are conducted on nine data sets to compare the performance of the crisp and fuzzy GDI indices. The best among tested indices were found to be the crisp GDI indices, the \"semi-fuzzy\" version of GDI indices. These two indices resulted in 8 out of 9; correct prescriptions of the right number of clusters. Further, a fuzzy GDI combined with measures of fuzziness H/sup Semi/ produces 7 out of 9 correct prescriptions of the number of clusters.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125131723","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: 8
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