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

10-12 June 1999

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

    Publication Year: 1999
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    Freely Available from IEEE
  • Author index

    Publication Year: 1999, Page(s):923 - 925
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    Freely Available from IEEE
  • Knowledge based dynamic modeling system for sensor fusion applications

    Publication Year: 1999, Page(s):834 - 838
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (564 KB)

    In a dynamic situation, data modalities range from static (e.g., spatial data representation, objects description) to dynamic (e.g., moving entities, evolving objects). Static data typically reside on local database systems while dynamic data are continuously generated from sensors or special events; we need to integrate both types of data for a realistic modeling of a dynamic situation. In this p... View full abstract»

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  • The effect of spatiotemporal sampling strategies and data acquisition accuracy on the characterization of a dynamic ecological system

    Publication Year: 1999, Page(s):829 - 833
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (440 KB)

    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 sim... View full abstract»

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  • Providing support for multiple collection types in a fuzzy object oriented spatial data model

    Publication Year: 1999, Page(s):824 - 828
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (356 KB)

    Fuzzy set approaches are particularly suitable for issues of modeling uncertainty in spatial data. Previous work of the authors describes a framework to support uncertainty by using an object-oriented approach to modeling spatial data. The original research focused on how to incorporate spatial data into a fuzzy object model. This paper expands upon that by discussing the implications of incorpora... View full abstract»

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  • Extending ERD modeling notation to fuzzy management of GIS datasets

    Publication Year: 1999, Page(s):819 - 823
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (288 KB)

    The university of Idaho Experimental Forest's geographic data are currently stored in a semi-organized fashion as sets of files on a file server. These data are typically manipulated and utilized by students using a crisp set paradigm. As part of research to find a better way to manage and organize these sets, a fuzzy set model is being developed. An ERD data model notation is being extended with ... View full abstract»

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  • Flex-norms: aggregation of fuzzy arguments

    Publication Year: 1999, Page(s):736 - 739
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (212 KB)

    The rules of a fuzzy system work as follows: as the input variable x increases, the result of the application of this rule at first increases, reaches a maximum and then decreases (as a consequence of the triangular, Gaussian, etc. shapes of fuzzy sets). To describe this phenomenon, a new class of norms is introduced: flex-norms, which describe the aggregation of fuzzy sets, where the arguments ar... View full abstract»

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  • Using the fuzzy object model for geographical information systems

    Publication Year: 1999, Page(s):814 - 818
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (416 KB)

    Geographical information systems (GISs) are being used in many new ways besides traditional cartography. Object-oriented technology provides both complex modeling capabilities for domain knowledge and distributed computing for interoperability between multiple GIS. An object data model for GIS, however, by itself is incomplete since geographical information often may be vague and imprecise. The in... View full abstract»

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  • Towards fuzzy default reasoning

    Publication Year: 1999, Page(s):23 - 27
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (456 KB)

    Default reasoning and approximate reasoning can both be handled in the framework of possibility theory. This article first restates and contrasts the two approaches. Then a preliminary discussion of the modelling of fuzzy default rules is provided. A fuzzy default rule is a default rule, such as “small birds fly”, or “flights are usually not much delayed”, whose expression ... View full abstract»

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  • Using t-norms in multi-objective analysis with fuzzy criteria

    Publication Year: 1999, Page(s):732 - 735
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (260 KB)

    This paper deals with the generalized quasi-concavity based on triangular norms (t-norms) and applied to membership functions of fuzzy sets in n-dimensional Euclidean space. Necessary and sufficient conditions for this type of generalized quasi-concavity are derived, some examples demonstrating the concepts are presented and a possible application is discussed View full abstract»

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  • Adaptive tool support for database reverse engineering

    Publication Year: 1999, Page(s):278 - 282
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (472 KB)

    Today's information technology undergoes dramatic mass changes due to urgent requirements like the Year 2000 problem, the European currency union and emerging technologies like the World Wide Web. Many older industrial database applications do not meet these requirements. Often, such legacy databases (LDB) have evolved over several generations of programmers and lack a sufficient technical documen... View full abstract»

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  • SIRMS dynamically connected fuzzy inference model applied to stabilization control of inverted pendulum and cart systems

    Publication Year: 1999, Page(s):771 - 775
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (368 KB)

    A fuzzy controller for stabilizing inverted pendulum and cart systems is presented based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference modal. The controller has a simple structure, and can smoothly realize in parallel the pendulum angular control and the cart position control. For any inverted pendulum and cart system, of which the pendulum length is among [0.2 m, ... View full abstract»

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  • A new tool for analysis and design of robust fuzzy systems

    Publication Year: 1999, Page(s):436 - 437
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (92 KB)

    The paper investigates the synthesis of nonlinear control systems with performance and stability robustness in the presence of parametric uncertainty. The proposed technique searches for a positive definite (p.d.) function that satisfies simultaneously design criteria stemming from the above requirements and recasts the general problem in the form of two NonLinear Matrix inequalities (NLMIs). Usin... View full abstract»

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  • Discussing cluster shapes of fuzzy classifiers

    Publication Year: 1999, Page(s):546 - 550
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (464 KB)

    Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of the paper is to discuss the shapes of the resulting classification borders and thus which class distributions can be represented by such classification systems. 2D and 3D visualizations are used to illustrate the cluster shapes ... View full abstract»

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  • An efficient implementation to calculate relative core and reducts

    Publication Year: 1999, Page(s):791 - 794
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (264 KB)

    Knowledge reduction is an important issue when dealing with huge amounts of data. Rough set theory offers two fundamental concepts to deal with this particular problem: reduct and core. These concepts are generalized to families of equivalence relations. We propose a method of implementation to calculate relative core and reducts based on the positive region of a classification with respect to ano... View full abstract»

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  • Fuzzy classification of handwritten characters

    Publication Year: 1999, Page(s):566 - 570
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (392 KB)

    We present EYE, a fuzzy logic-based classifier for offline recognition of isolated handwritten characters. EYE uses a new linguistic classification method based on the linguistic description of the shape of the character. The linguistic terms are derived from a fuzzy partition of the space occupied by the character. EYE classifies characters written by any writer. A small scale application of the ... View full abstract»

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  • Measure theory on granular fuzzy sets

    Publication Year: 1999, Page(s):809 - 813
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (308 KB)

    A granular fuzzy set theory is modeled on fuzzy sets whose membership functions are defined on sets of sets (granules). The grade is interpreted literally; for example, that the grade of x is 1/2 means one half of the granule x belongs to the fuzzy set. By taking the union of these subgranules, one get a crisp set representation of a fuzzy set. In other words, a granular fuzzy set is a fuzzy set t... View full abstract»

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  • Fuzzy dynamic programming: theory and applications to decision and control

    Publication Year: 1999, Page(s):18 - 22
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (360 KB)

    We provide a guided tour of the essential elements of fuzzy dynamic programming. We present both the aspects that are now classic in any discussion of the topic as well as its modern variants including our recently introduced fuzzy criterion dynamic programming. We include the computational aspects a well as various key real world applications. We conclude with a paint brush of the research topics... View full abstract»

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  • Pattern-based inference approach for data mining

    Publication Year: 1999, Page(s):727 - 731
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (408 KB)

    Information theory and statistical analysis are discussed as two fundamental conceptual tools for data mining. A data mining technique based on these two conceptual tools consists of three steps. The first step is a statistical approach for discovering data patterns. The second step is an information-theoretic approach for identifying models that encapsulate the statistical behavior of the data pa... View full abstract»

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  • Agent-based modeling for holonic manufacturing systems with fuzzy control

    Publication Year: 1999, Page(s):273 - 277
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (384 KB)

    Agent-based systems technologies are of emerging interest in the specification and implementation of complex systems. This article introduces the CASA agent development system which seamlessly combines the BDI (belief desire intention) approach with the FIPA agent communication language standard and an integrated specification of fuzzy controllers. The behavior of agents is defined by strategies w... View full abstract»

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  • Chu spaces: towards new foundations for fuzzy logic and fuzzy control, with applications to information flow on the World Wide Web

    Publication Year: 1999, Page(s):766 - 770
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (384 KB)

    The article examines Chu spaces, a new formalism used to describe parallelism and information flow. It shows that Chu spaces provide uniform explanations for different choices of fuzzy methodology, such as choices of fuzzy logical operations, of membership functions, of defuzzification, etc View full abstract»

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  • Automatic variable selection and granular adaptation in fuzzy Boolean nets

    Publication Year: 1999, Page(s):620 - 624
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB)

    In this work the problem of meta-learning, that is, perceiving what to learn (which variables, which granularity), is addressed in the context of Boolean nets with fuzzy behaviour. Fuzzy relational operators, embedded in those neural networks, are defined and the author shows how they can be used to establish the relevant antecedents as well as their topology of the network according these concept... View full abstract»

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  • On the robustness of fuzzy inference mechanism

    Publication Year: 1999, Page(s):431 - 435
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (392 KB)

    The robustness performance of the fuzzy inference mechanism is investigated in terms of maximum deviation of the fuzzy and crisp output as a result of deviation in the input membership grades. A parameterized formulation of fuzzy reasoning helps us adjust the robustness by varying the inference parameters. This feature will improve the generalization capability of the fuzzy logic models as illustr... View full abstract»

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  • Fuzzy measures for data quality

    Publication Year: 1999, Page(s):398 - 402
    Cited by:  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB)

    The aim of the paper is twofold: to introduce a clear and coherent framework of data as data elements-the building blocks of information systems; and to discuss dimensions of data quality along three axes: (a) quality of the conceptual view of data; (b) quality of the values to be stored in the database; (c) quality of the representation of data, i.e. their format. For each of these dimensions, th... View full abstract»

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  • Fuzzy probabilistic rule induction

    Publication Year: 1999, Page(s):541 - 545
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB)

    The paper presents a novel uncertainty framework for rule induction from examples: a fuzzy probabilistic framework. The main motivation for this framework stems from the problem of data fit vs. mental fit in knowledge acquisition for decision support systems. The framework is based on an extension of the probability of a fuzzy event (as defined by L.A. Zadeh, 1968)), and is highly suitable for lea... View full abstract»

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