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Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American

Date 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
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    Freely Available from IEEE
  • Author index

    Publication Year: 1997, Page(s):451 - 453
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    Freely Available from IEEE
  • Using fuzzy cognitive maps for data abstraction and synthesis in decision making

    Publication Year: 1997, Page(s):5 - 9
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    The abstraction of data into more usable formats is an important consideration in complex information processing environments. To be effective data abstraction must preserve the original behavior of the system it is modeling, while at the same time reducing the cognitive loading of the decision maker by reducing the volume of information he or she must process. Fuzzy cognitive maps can be used as ... 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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  • Applications of fuzzy logic to software metric models for development effort estimation

    Publication Year: 1997, Page(s):394 - 399
    Cited by:  Papers (12)  |  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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  • Approximate strategies for learning trajectories of autonomous learning agents

    Publication Year: 1997, Page(s):423 - 427
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB)

    Describes a new approach to the approximate modeling of the learning dynamics of autonomous learning agents for performance improvement in supervised learning. The extracted approximate model can be used to generate target trajectories from the current performance state to the final performance goal in order to “lead” the learning agent through the dynamic range of the learning process... View full abstract»

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  • Experiments in fuzzy logic based control of a magnetic bearing system

    Publication Year: 1997, Page(s):90 - 95
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    The paper deals with the control of a levitated object with position dependent nonlinearity. The authors applied fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. They represented the nonlinear magnetic bearing by the Takagi-Sugeno-Kang (TSK) fuzzy model, in which the nonlinear global model is approximated by a set of... View full abstract»

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  • Self-organising fuzzy perceptrons applied to power system stability

    Publication Year: 1997, Page(s):341 - 346
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    Organising and adjusting a neuro-fuzzy system is been presented in this paper. A fuzzy inference system has been implemented on a multilayer perceptron, in which the weights are fuzzy membership. The parameters of the fuzzy multilayer perceptron are meaningful and have physical interpretation. A hierarchical procedure is proposed for design and organising the system in three levels: predefining th... 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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  • 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 granulation and modular tiling: a useful duality

    Publication Year: 1997, Page(s):388 - 393
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Fuzzy granulation refers to a family of very powerful techniques that allow computers to represent and manipulate the kind of knowledge that humans tend to actually possess regarding system capabilities, desirable system performance, and control policies to use the former to approach the latter. One of the most well established of this family of techniques may be referred to as Mamdani Granulation... View full abstract»

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  • Character recognition with fuzzy features and fuzzy regions

    Publication Year: 1997, Page(s):166 - 171
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB)

    The authors propose a method for character recognition using fuzzy features and fuzzy regions in a neural network. The method is robust to noise and distorting, scaling, and shifting of the patterns within their pixel frames, yet it is mathematically simple. The fuzzy neural network presented in the paper consists of three layers: a layer for feature extraction, for regional emphasis of features, ... View full abstract»

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  • Using fuzzy rule based economic models to measure the performance of state funded agencies

    Publication Year: 1997, Page(s):418 - 422
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    US state governments have been seeking analytical methods to show that taxpayer dollars devoted to economic development are utilized effectively. In New York, efforts to quantify the increase in value added as a result of technology development have involved the use of multiple regression to analyze client surveys. In this paper, we describe work with one group of agencies to develop a fuzzy rule-... View full abstract»

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  • Implementing the fuzzy quadratic classifier

    Publication Year: 1997, Page(s):205 - 210
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    The fuzzy quadratic classifier (FQC) extends the quadratic classifier to accommodate a sequence of fuzzy numbers as data. The fuzzy data induces a fuzzy quadratic discriminant (QD) that is then compared to other fuzzy discriminants to produce a decision. To generate the fuzzy data, conversion of batches of data vectors, or signals, into sequences of fuzzy signal vectors is developed base on fuzzy ... View full abstract»

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  • Fuzzy process control of integrated circuit wire bonding

    Publication Year: 1997, Page(s):84 - 89
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    The paper describes a fuzzy logic controller which sets parameters for the wire bonding process, specifically controlling bonded ball size and shear strength density. The design of the fuzzy engine and the development of rules based on operator experience are discussed. The controller has been tested on actual devices; results show improved process control View full abstract»

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  • An application of Takagi-Sugeno modelling to an urban rainfall-runoff relationship

    Publication Year: 1997, Page(s):335 - 340
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    In this paper, modelling of MIMO nonlinear dynamic systems using a Takagi-Sugeno structure (1985) is discussed. A new formulation which leads to another interpretation of Takagi-Sugeno model and an improvement of the model parameter estimation is proposed. From inputs and outputs data, an identification algorithm of this model is presented. The parameter estimation is based on computation of sensi... 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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  • Learning optimal fuzzy rules using simulated annealing

    Publication Year: 1997, Page(s):102 - 105
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Fuzzy systems can uniformly approximate continuous functions, but the number of rules increases geometrically with system dimension. Fast simulated annealing that uses alpha stable generating functions to search locally and tunnel through space can solve large optimization problems. Alpha values less than 1 can find the optimal fuzzy rules that approximate a function. The thick tails of these dist... View full abstract»

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  • A modified defuzzifier for control of the inverted pendulum using learning

    Publication Year: 1997, Page(s):118 - 123
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    The paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system perfor... 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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  • L-prime spectrum of a ring

    Publication Year: 1997, Page(s):273 - 278
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    We obtain some new results concerning the fuzzy prime spectrum, such as results about irreducibility and generic points. We show how our results can be applied to the solution of fuzzy intersection equations. We extend the known results to those involving a completely distributive lattice rather than the closed interval [0,1]. In so doing, we open the door to the examination of intersection equati... 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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  • Finding a base for a vector space of polynomials

    Publication Year: 1997, Page(s):283 - 285
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB)

    In (Carre, 1979), and in other presentations the author proposed the definition of a fuzzy graph as a pair of vector spaces. The underlying reason for the departure from its usual definition as depicting a fuzzy relation, is not only the elegance of the new definition but also because of the practicality of having the tools of linear algebra available should we be able to find a basis for each vec... View full abstract»

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  • Functional dependencies revisited under graduality and imprecision

    Publication Year: 1997, Page(s):57 - 62
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB)

    In the database area, the notion of data property has been recognized for two main purposes: data control when the property is a constraint; and knowledge discovery when the property is the result of a mining process. Among the properties, functional dependencies (FD) have received special attention for many years, since they are connected with database design. Different extensions of functional d... View full abstract»

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