1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297)

21-24 Sept. 1997

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  • 1997 Annual Meeting of The North American Fuzzy Information Processing Society - NAFIPS'97

    Publication Year: 1997, Page(s):0_3 - 0_13
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    Freely Available from IEEE
  • 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297)

    Publication Year: 1997
    Request permission for commercial reuse | PDF file iconPDF (400 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 1997, Page(s):451 - 453
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    Freely Available from IEEE
  • A safety analysis method using fuzzy Petri nets

    Publication Year: 1997, Page(s):412 - 417
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    A backward safety analysis method that can deal with both severity and risk by virtue of fuzzy theory is proposed in this work. Fuzzy Colored Petri Net (FCPN) is developed and applied to the safety analysis method. The feasibility of this method is demonstrated through a popular example View full abstract»

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  • The incorporation of qualitative information into T-S fuzzy model

    Publication Year: 1997, Page(s):148 - 153
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    The Takagi-Sugeno (T-S) type of fuzzy model combines linguistic information and quantitative training procedures, and is therefore a most suitable candidate for accommodating additional a-priori knowledge in input-output modeling. The idea is to regard the a-priori knowledge as constraints that penalize a performance criterion used for identifying the unknown parameters in the T-S fuzzy model. The... View full abstract»

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  • The applications of fuzzy comprehensive evaluation to test programs analysis

    Publication Year: 1997, Page(s):406 - 411
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    This paper presents an approach to support analysis and debugging of VLSI device test programs. In research into the previous work, we find that there are two restrictions in program debugging: computational complexity and diagnostic precision, which greatly influence the effect of program debugging. In the paper, we apply Fuzzy Mathematics, especially Fuzzy Comprehensive Evaluation, to research o... View full abstract»

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  • Decentralized parameter estimation with fuzzy information

    Publication Year: 1997, Page(s):142 - 147
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    The use of fuzzy sets in representing uncertainty in signal detection and estimation problems has been shown to complement conventional approaches using probabilistic modeling. We concentrate on an approach where the sample information available from the physical phenomenon of interest is assumed to be vague. We study and analyze a parameter estimation scheme in a decentralized system when the dat... View full abstract»

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  • Noise clustering algorithm revisited

    Publication Year: 1997, Page(s):199 - 204
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    Dave's (1991) noise clustering (NC) algorithm is revisited. In the original NC algorithm, the distance of a noise prototype from all the points was defined to be a constant value δ. While this idea works well in detecting a variety of cluster shapes in noisy data, use of the same constant value of δ makes NC somewhat limited in its scope. The authors allow S to take different values fo... View full abstract»

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  • Information granularity uncertainty principle: contingency tables and Petri net representations

    Publication Year: 1997, Page(s):222 - 226
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB)

    This paper introduces an information granularity reduction principle in connection with the analysis of the component of uncertainty associated with data. This overall study is illustrated utilizing simple numerical studies dealing with dynamical systems with first order dynamics. Classical and fuzzy Petri models are introduced in the analysis of dynamical systems. The overall study is illustrated... View full abstract»

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  • Pedagogical evaluation system applying approximate reasoning

    Publication Year: 1997, Page(s):400 - 405
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    The inexact phenomena such as the mental process and cognition would effectively be analyzed by using fuzzy theory which is often applied to social science and human science, updatingly. As the pedagogical evaluation is liable to be subjectively decided, the fuzziness exists concerning it. In such a case, if we apply fuzzy reasoning it could be done objectively. However, it is not so easy to execu... View full abstract»

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  • Determining fuzzy integral densities using a genetic algorithm for pattern recognition

    Publication Year: 1997, Page(s):263 - 267
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    By utilizing information provided from different sources, data fusion has been a very effective method to achieve good performance in many applications, such as pattern recognition and decision making. The fuzzy integral is one of the many ways to combine those information sources. Successful applications have shown that, if used properly, the fuzzy integral can be a powerful tool in dealing with ... View full abstract»

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  • Diagnosing from descriptive knowledge bases

    Publication Year: 1997, Page(s):440 - 443
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    Deals with a diagnostic method using so-called descriptive knowledge bases. It is based on the concept of using a MIMO (multiple-input, multiple output) fuzzy model to represent the information contained in the knowledge base. The model structure and initial parameter values are estimated by applying FMEA (failure mode and effect analysis). Finer parameter estimates are obtained by using a backpro... View full abstract»

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  • Incremental fuzzy modelling of dependencies in complex physical systems

    Publication Year: 1997, Page(s):136 - 141
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    Considers the fuzzy modelling of dependencies in complex physical systems. Recently, we have been working on a SISO (single-input, single-output) case and developed a successful model. In reality, we face more general cases than SISOs. The present step is to extend the SISO model to MISO (multiple-input, single-output) cases. In the SISO model, we consider the fact that a linear relation can be ap... View full abstract»

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  • Fuzzy sets over evolving universes

    Publication Year: 1997, Page(s):377 - 382
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    Fuzzy membership functions may be defined over universes of discourse that are not fixed and well known but that instead are subject to evolution, that is to say universes of discourse that change over time according to some probability distribution. In such a case, the value of the membership functions will depend upon the probability distribution defined on the universe. If the distribution is u... View full abstract»

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  • Towards temporal fuzzy and uncertain object-oriented database management systems

    Publication Year: 1997, Page(s):68 - 72
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    The aim of this paper is to present a new general object-oriented framework for the modeling of time and to point out its use in the setting of a fuzzy and uncertain object-oriented database model, in order to support and to extend the traditional temporal database concepts. The definition of this framework relies on a suitable, new theoretical time model which is based on time indications in natu... View full abstract»

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  • Genetic algorithms used for determining belief measures and plausibility measures

    Publication Year: 1997, Page(s):195 - 198
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    Regarding the Choquet integral as a multi-input single-output system, one can use a set of input-output data to determine the belief measure or plausibility measure for the Choquet integral concerned. The least square method and a genetic algorithm are applied for this purpose View full abstract»

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  • Clustering using a genetic fuzzy least median of squares algorithm

    Publication Year: 1997, Page(s):217 - 221
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB)

    Reliable clustering of a severely contaminated data must depend on robust estimation methods to determine the cluster prototypes. The Least Median of Squares (LMedS) can estimate the parameters of a single prototype with a 50% breakdown point. However this breakdown point cannot be achieved when a data set consists of multiple clusters. In addition to this limitation, the objective function of the... View full abstract»

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  • Patterns and symbols for solving ill-defined problems

    Publication Year: 1997, Page(s):239 - 244
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    The paper presents a novel network for inference using patterns and symbols. The meanings of patterns and symbols are also given. The network consists of a self organizing network and a two layered associative memory network having a pattern layer and a symbol layer. The proposed network is an implementation of a new framework for solving ill defined problems using patterns and symbols. Candidates... View full abstract»

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  • Applications of fuzzy logic to software metric models for development effort estimation

    Publication Year: 1997, Page(s):394 - 399
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    Software metrics are measurements of the software development process and product that can be used as variables (both dependent and independent) in models for project management. The most common types of these models are those used for predicting the development effort for a software system based on size, complexity, developer characteristics, and other metrics. Despite the financial benefits from... View full abstract»

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  • Fusion of handwritten numeral classifiers based on fuzzy and genetic algorithms

    Publication Year: 1997, Page(s):257 - 262
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB)

    Fuzzy and genetic algorithms are used to develop an approach for fusioning multiple handwritten numeral classifiers. A computational scheme of the Choquet (fuzzy) integral serves as a data fusion tool, whereas genetic algorithms are implemented to optimize the derivation of fuzzy densities which play a very important role for the calculation of fuzzy measures and fuzzy integrals. Several experimen... View full abstract»

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  • Minimal definitions of classical and fuzzy preference structures

    Publication Year: 1997, Page(s):299 - 304
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    Preference structures are fundamental tools in the theory of preference modelling. They consist of three basic relations: the strict preference relation, the indifference relation and the incomparability relation. The generalization of these crisp structures to the fuzzy case, and consequently the enlargement of the sphere of these structures to more realistic decision-analytic settings, has recei... View full abstract»

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  • Learning algorithms and dimensionality

    Publication Year: 1997, Page(s):106 - 111
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB)

    Approximation theory based on fuzzy sets provides a tool for modeling complex systems for which only an imprecise or approximate specification is available. In classical modeling, the system relationships are expressed mathematically as a function whose domain consists of the possible inputs to the system and whose range is the appropriate responses. Due to the complexity of the interactions in so... View full abstract»

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  • Learning by means of free associative neurons

    Publication Year: 1997, Page(s):434 - 439
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    Introduces a new learning method: free associative neurons (FAN). FAN is composed of independent units with autonomous learning capabilities. The learning power of FAN is based on the association of its units and on the use of granularity for representing information. As a method for representing complex environments, FAN can be used in pattern recognition, classification and diagnosis. This paper... View full abstract»

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  • A non-neural fuzzy rule base approach for modeling complex systems

    Publication Year: 1997, Page(s):130 - 135
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB)

    Studies the modeling of complex systems using fuzzy rules for the description of the underlying plant. The current research is a modification and an extension of a bisection and homogeneity algorithm that generates rules directly from the data. This modified approach examines correlation-product inference as a method for approximating nonlinear 2D systems and 3D chaotic systems. The iterative proc... View full abstract»

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  • FADIS: an integrated development environment for automatic design and implementation of FLC

    Publication Year: 1997, Page(s):33 - 39
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (696 KB)

    This paper develops an integrated environment EDA system that can design and implement an accurate and cost-effective FLC automatically. For doing this, an integrated development environment (IDE) (called FADIS; FLC Automatic Design and Implementation Station) is built by a seamless coupling of many existing EDA tools in an attempt that the FADIS performs various functions such as automatic VHDL c... View full abstract»

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