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PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500)

13-15 July 2000

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Displaying Results 1 - 25 of 101
  • 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS [front matter]

    Publication Year: 2000, Page(s):i - xi
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    Freely Available from IEEE
  • An interval approach to fuzzy surroundedness and fuzzy spatial relations

    Publication Year: 2000, Page(s):100 - 104
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (583 KB)

    To describe a picture, spatial relations between image regions provide information concerning relative spatial position of two regions. This information could be for example: one region is left of another region. The definition of such entity is not easy in general and the manner in which spatial data is modeled affects important aspects of its use. So how to model a situation in which both the da... View full abstract»

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  • An interval approach to handwriting recognition

    Publication Year: 2000, Page(s):153 - 157
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (517 KB)

    A language is a set of symbols, signs, sounds, .... Each language has its own signs (Arab, Japanese, Latin....) that people discern easily. In fact, one gives these symbols (isolated or regrouped in a words or sentences) senses or meaning. It is a means of communication to describe our desires, our thought, our needs, .... Nevertheless, there are always basic references through which one communica... View full abstract»

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  • Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789)

    Publication Year: 2000
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    Freely Available from IEEE
  • Author index

    Publication Year: 2000, Page(s):495 - 496
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    Freely Available from IEEE
  • Using a fuzzy morphological structural element for image segmentation

    Publication Year: 2000, Page(s):95 - 99
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    Management of uncertainty is an important problem in the development of automated systems for scene interpretation, particularly in image segmentation algorithms. In this paper a fuzzy-based morphological structural element is introduced to be used in image segmentation based on pixel classification, with the aim to reduce uncertainty problems. The shape, size and structure of this type of element... View full abstract»

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  • Medoids in fuzzy computation

    Publication Year: 2000, Page(s):429 - 433
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    The median has long been known as a measure more robust than the arithmetic mean as a stable estimator insensitive to problems such as outliers or extreme values. This paper suggests the application of median-related measures to fuzzy computation, especially in defuzzification and in combining fuzzy membership degrees View full abstract»

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  • Fuzzy clustering with outliers

    Publication Year: 2000, Page(s):143 - 147
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    In this paper we introduce a modified objective function for fuzzy clustering. We add an additional weighting factor for each datum and derive necessary conditions for the introduced parameter in order to optimise the objective function. These conditions are used in an alternating optimisation scheme to calculate a partition of sample data. The obtained weights determine a kind of representativene... View full abstract»

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  • Class of weak uni-norm operators and aggregation of fuzzy rules

    Publication Year: 2000, Page(s):424 - 428
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    We have demonstrated that strong uni-norm aggregation operators belong to the class of weak triangular norm operators. The new class of operators called weak uni-norm operators was introduced by relaxing condition of associativity of uni-norm operators. This class includes linear weighted averaging of uni-norm operators. Resulting weights are fixed and, thus, this type of aggregation can be used f... View full abstract»

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  • Rule based fuzzy cognitive maps-qualitative systems dynamics

    Publication Year: 2000, Page(s):407 - 411
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    This paper focuses on the rule based fuzzy cognitive maps (RB-FCM) potential to model the dynamics of qualitative real-world systems that include feedback links. It presents a general overview of RB-FCM and proposes a set of possible concepts and relations. It also provides guidelines to introduce time as an important qualitative entity of cognitive maps View full abstract»

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  • Fuzzy reference gain scheduling control systems

    Publication Year: 2000, Page(s):461 - 464
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    This article presents an innovative combination of fuzzy control with gain-scheduling control, in which the shape of the membership functions change according to different operational conditions. In this kind of adaptive controller, the membership function parameters are a function of the reference, yielding an effective and flexible controller. This method can be implemented in processes which ar... View full abstract»

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  • Embedding fuzzy logic in content based image retrieval

    Publication Year: 2000, Page(s):85 - 89
    Cited by:  Papers (12)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    This paper focuses on the possible embedding of the uncertainty regarding the colors of an image into histogram-type descriptors. The uncertainty naturally arises from both the quantization of the color components and the human perception of colors. Fuzzy histograms measure the typicality of each color within the image. We define various fuzzy color histograms following a taxonomy that classifies ... View full abstract»

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  • Lukasiewicz inference in Layman's probability theory

    Publication Year: 2000, Page(s):420 - 423
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    A prior work introduced Layman's probability theory as a formal system for reasoning with linguistic likelihood, wherein the logical and is interpreted as the arithmetic min, and the or is interpreted as the max. Likelihood modifiers (likely, very likely, somewhat unlikely, etc.) are treated as modal operators. The system is two-leveled, with the lower level being a multivalent logic and the upper... View full abstract»

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  • Intelligent query construction for multilingual document exploitation

    Publication Year: 2000, Page(s):232 - 236
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    Multilingual document exploitation (MDE) involves assessing the relevance of individual foreign language documents to the course of a military mission. A critical task for users of the RAVEN system is the construction of queries that are adequately effective in identifying the foreign language documents most relevant to their information needs. The paper proposes methods to assist the user in: (i)... View full abstract»

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  • The constructive 2-variable granular system with universal approximation

    Publication Year: 2000, Page(s):358 - 362
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    An important task of learning is to establish relations among granules such as classes, clusters, sets, groups, etc. The relations can be represented by granular If-Then rules. How to quickly discover the granular If-Then rules becomes a major long-term problem. Conventional training-based approaches such as neural networks and neuro-fuzzy systems have the learning speed bottleneck problem. The ne... View full abstract»

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  • Forecasting enrolments with high-order fuzzy time series

    Publication Year: 2000, Page(s):196 - 200
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    This paper studies the influence of a novel scheme. First-order fuzzy time series models embedded with this novel scheme become high-order. To illustrate this high-order model, the forecasting of enrolments is conducted. The results are compared with those of Chen's method and those of the Song-Chissom method. It is found that the root mean square error of the forecast can be improved from 630.86 ... View full abstract»

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  • Management questionnaire analysis through a linguistic hard C-means

    Publication Year: 2000, Page(s):402 - 406
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    Management studies often gather abstract, numerical data from humans. Employees' attitudes and perceptions regarding organizations and their practices are collected. Most models that use this data account for probabilistic uncertainty, but not for vagueness uncertainty. In an earlier paper, Adrian (1998) considered the utility of allowing respondents to draw fuzzy membership functions over the set... View full abstract»

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  • An evolutionary strategy for learning in fuzzy networks

    Publication Year: 2000, Page(s):24 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Sine the pioneer work of White the application of artificial neural networks to finance has enjoyed an exponential growth in research and publications. The evidence accumulated over the last decade indicates that the success of the financial application of artificial neural networks depend on its design. Due to the nature of artificial networks it's very hard for the experts in the field of the ap... View full abstract»

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  • Dealing with danger: a fuzzy approach

    Publication Year: 2000, Page(s):283 - 285
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    Danger is an inherently fuzzy concept. To identify dangerous situations, and be able to act accordingly, we also have to take into account the fuzzy nature of the measurement of their properties, especially their probability. We formalize here the concept of danger, and discuss some of the difficulties of making high-stakes decisions under fuzziness View full abstract»

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  • Fuzzy sets, sheaves, and topoi

    Publication Year: 2000, Page(s):456 - 460
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    There have been a number of attempts to provide a categorical foundation for fuzzy sets. One inescapable limitation seems to be that fuzzy sets cannot form a topos without restrictions placed on the underlying lattice or on the associated “equality”. This paper reviews work in this area and concludes that categorical unification of fuzzy sets, at least of the kinds described to date, m... View full abstract»

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  • A comparison of fuzzy, stochastic and deterministic methods in linear programming

    Publication Year: 2000, Page(s):321 - 325
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    This paper focuses on relationships among some fuzzy, stochastic and deterministic optimization methods for solving linear programming problems. In particular, we look at several methods to solve one problem as a means of comparison and interpretation of the solutions among the methods View full abstract»

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  • An adaptive deterministic annealing approach for medical image segmentation

    Publication Year: 2000, Page(s):82 - 84
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB)

    We present a stochastic model based technique that uses the concept of deterministic annealing to obtain a generalized solution to the nonconvex optimization problem encountered by many image segmentation techniques. Deterministic annealing [DA] is an elegant and useful tool for clustering and classification. This novel optimization approach works with the efficiency of a deterministic procedure a... View full abstract»

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  • Combining rejection-based pattern classifiers

    Publication Year: 2000, Page(s):114 - 118
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    This article deals with the combination of the first stage of two-fold rejection-based classifiers for pattern classification. This Dempster-Shafer's model-based combination uses some relevant characteristics of the different two-stage classifier strategies we have identified. These strategies differ on the managing of the ambiguity and distance rejection (independently or not). We propose some cl... View full abstract»

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  • Fuzzy decision forest

    Publication Year: 2000, Page(s):218 - 221
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    We investigate the extension of fuzzy decision trees into fuzzy forests. Decision forests attempt to alleviate some problems often associated with decision trees: decision trees are minimalistic in their contained information, and they often degrade in complex domains, when multidimensional relationships are needed, or when there is no preference over similar actions. Moreover, the minimalistic ap... View full abstract»

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  • A fuzzy clustering model of data with proportional membership

    Publication Year: 2000, Page(s):261 - 266
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    The fuzzy clustering proportional membership (FCPM) proposes a model of how data are generated from a cluster structure to be identified. Cluster prototypes and membership functions are meaningful in the context of the model. In particular, the membership of an entity to a cluster expresses the proportion of the cluster's prototype reflected in the entity (proportional membership). We explore the ... View full abstract»

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