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Proceedings of North American Fuzzy Information Processing

19-22 June 1996

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Displaying Results 1 - 25 of 114
  • Proceedings of North American Fuzzy Information Processing

    Publication Year: 1996
    Request permission for commercial reuse | PDF file iconPDF (595 KB)
    Freely Available from IEEE
  • On the dynamical properties of fuzzy control systems

    Publication Year: 1996, Page(s):15 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (135 KB)

    Summary form only given. The field of the so-called emerging technologies, ie., fuzzy logic control, neuro-fuzzy control, has witnessed quite a sizable introduction of application products, mainly from Japan and Europe and recently from the US. The soft-computing community (fuzzy logic, neural networks and genetic algorithms) has begun to respond to the barrage of concerns about the analytical iss... View full abstract»

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  • Author index

    Publication Year: 1996
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    Freely Available from IEEE
  • Multi-script handwriting recognition with FOHDEL

    Publication Year: 1996, Page(s):147 - 151
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    Until now handwritten character recognition systems used script specific methodologies. We present a unified syntactic approach for multi-script recognition. The fuzzy pattern description language FOHDEL is used to store fuzzy features in the form of fuzzy rules. First we briefly describe the proposed recognition methodology for Latin, Devanagari and Kanji scripts by analyzing their characteristic... View full abstract»

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  • A neuro-fuzzy computing model of human pattern generation

    Publication Year: 1996, Page(s):336 - 340
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    Investigates a novel technique for constructing and evaluating neuro-fuzzy models of human pattern generation. The modeling approach consists of two steps: first, a neural network is trained to learn a core concept, and then the trained network is augmented with additional processing nodes and connections. The augmented network is then tested on its ability to solve problems related to the core co... View full abstract»

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  • Detecting constructions of nonlinear integral systems from input-output data: an application of neural networks

    Publication Year: 1996, Page(s):559 - 563
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    If the input-output relation of a multi-input system can be represented by some kind of integral with respect to a nonnegative monotone set function, which is not necessarily additive, then the construction of the system may be entirely described by the monotone set function. After obtaining input-output data from such a system, the set function can be optimally determined by using a specially des... View full abstract»

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  • Neuro-fuzzy techniques in the recognition of written Arabic characters

    Publication Year: 1996, Page(s):142 - 146
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    A new method for recognition of handwritten Arabic characters is presented. Characters are recognized by detecting their geometrical features and by conducting some discriminatory tests on their projection data. Most of the chosen features are easy to extract. Some of the features which are not so obvious are inferred from measurements. Fuzzy logic is used to model the uncertainties in the relatio... View full abstract»

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  • Evolutionary algorithms based multiobjective optimization techniques for intelligent systems design

    Publication Year: 1996, Page(s):360 - 364
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    We present evolutionary algorithm based multiobjective optimization techniques for intelligent systems design. Multiobjective optimization techniques are necessary in situations where the performance of a system is based on multiple, possibly conflicting objectives whose aggregation cannot be easily articulated. The evolutionary algorithms approach presented employs a search mechanism that treats ... View full abstract»

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  • On the usage of differential evolution for function optimization

    Publication Year: 1996, Page(s):519 - 523
    Cited by:  Papers (244)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Differential evolution (DE) has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. Besides its good convergence properties and suitability for parallelization, DE's main assets are its conceptual simplicity and ease of use. This paper describes several variants of DE and elaborates on the choice of DE's control parameters, which corresponds to the... View full abstract»

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  • Fuzzy knowledge base in evaluation of drilling

    Publication Year: 1996, Page(s):331 - 335
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    This paper introduces the utilisation of a simple fuzzy expert diagnostic system for the evaluation of diamond core drilling by means of impregnated diamond bits. For this purpose, a knowledge base was created consisting of precise data about the monitoring of drilling and the experiences of drilling experts View full abstract»

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  • Relative uncertainty: measuring uncertainty in discrete and nondiscrete domains

    Publication Year: 1996, Page(s):551 - 555
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    A general framework is proposed for the development of uncertainty measures in finite and infinite domains in the context of evidence theory. The proposed measures account for uncertainty in the form of information ratios, which relate an uncertain situation to the maximum uncertainty-based information present in its domain. The measures are shown to be ideal for the measurement of uncertainty in ... View full abstract»

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  • Fuzzy methods in handwriting recognition: an overview

    Publication Year: 1996, Page(s):137 - 141
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    We describe applications of fuzzy sets to handwriting recognition and related research possibilities. We also describe some existing handwritten databases and discuss the possibility of creating a database with some programs to enable fuzzy set researchers to apply their techniques to handwriting recognition View full abstract»

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  • Soft computing paradigms for learning fuzzy controllers with applications to robotics

    Publication Year: 1996, Page(s):355 - 359
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    Three soft computing paradigms for automated learning in robotic systems are briefly described. The first employs genetic programming to evolve rules for fuzzy behaviors to be used in mobile robot control. The second paradigm develops a two-level hierarchical fuzzy control structure for flexible manipulators. It incorporates genetic algorithms in a learning scheme to adapt to various environmental... View full abstract»

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  • Fuzzy convolution as a nonlinear digital filter

    Publication Year: 1996, Page(s):577 - 580
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    Convolution is a representative operation in linear filters. Convolution carries out its operations by linear combination. The paper discusses a method to extend convolution so that it has nonlinearlity in the platform of convolution operation. It introduces an extension method which uses fuzzy operations instead of linear combination for convolution. It also describes several types of fuzzy convo... View full abstract»

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  • The concepts of fuzzy sets and genetic algorithms: contrasts and similarities of expectations and development patterns (or would you rather mutate or go fuzzy?)

    Publication Year: 1996, Page(s):515 - 518
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    Fuzzy sets and generic algorithms are two important approaches in the area of soft computing. However, despite some similarities in their research development pattern (such as their reliance on approximate, rather than absolutely precise reasoning, and therefore on solutions to problems which are good but not necessarily optimal), there are nevertheless contrasts which adapts the suitability of ea... View full abstract»

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  • Fuzzy logic tools needed for intellectual capital management systems

    Publication Year: 1996, Page(s):327 - 330
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    A recent survey reveals top Fortune 500 and Canadian Post 300 managers expect employee knowledge to be the most valuable intangible asset of their firm in the year 2000. Information systems can support knowledge management activities with knowledge management support systems (KMSSs). Because of the nature of knowledge itself, efforts to capture it in a corporate knowledge base will require the use... View full abstract»

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  • Polynomial approach to the synthesis of stable fuzzy systems

    Publication Year: 1996, Page(s):10 - 14
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    We discuss the problem of synthesis of stable Takagi-Sugeno-Kang (TSK) fuzzy systems (1985). This approach is based on a polytopic input-output representation of the fuzzy system model and the fuzzy controller. A procedure for designing fuzzy controllers is also developed View full abstract»

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  • Fuzzy logic, logic programming, and linear logic: towards a new understanding of common sense

    Publication Year: 1996, Page(s):546 - 550
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    Fuzzy logic was originally proposed as a tool for describing human reasoning. Currently, the main area of applications of fuzzy logic is in fuzzy control, where the choice of logic is usually motivated not by logical considerations (i.e. not by what best describes how people actually think), but by purely pragmatic, engineering considerations: what logic would lead to the best control. In this pap... View full abstract»

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  • Axioms-based CNFs and DNFs constructed by n-variable-m-dimensional fundamental clauses and phrases

    Publication Year: 1996, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (72 KB)

    In this paper, the relationship between the existing axioms and the corresponding CNF and DNF based on the n-variable-m-dimensional fundamental clauses and phrases is discussed. The AND (OR) map is the general framework of the fuzzy map and the Karnaugh map without losing any primary combined concepts. In addition, the general algorithm to make the n-variable-m-dimensional CNF (DNF) from a DNF (CN... View full abstract»

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  • M-estimators and robust fuzzy clustering

    Publication Year: 1996, Page(s):400 - 404
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    We compare several recent robust fuzzy clustering methods and show their equivalence in terms of their connection to techniques in robust statistics. In particular, we establish a connection between fuzzy set theory (as used in robust fuzzy clustering methods) and robust statistics, and point out the similarities between robust clustering methods and statistical methods such as the the M-estimator... View full abstract»

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  • Dynamic neural network control of nonlinear-time varying systems: stability analysis, optimal network structure, and on-line adaptation

    Publication Year: 1996, Page(s):128 - 133
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    In this paper, dynamic neural network control (DNNC) is presented as a control strategy which uses a neural network to model the process and then applies the mathematical inversion of the process model to design the controller. DNNC falls into the large class of model predictive controllers, many of which are now widely used in industry. The objectives of this paper are: to study the stability pro... View full abstract»

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  • System optimization without numerical target

    Publication Year: 1996, Page(s):351 - 354
    Cited by:  Papers (6)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    Describes the importance of the challenging task of system optimization based on human preferences or subjective evaluation, and shows how to approach the task. As an example of this type of approach, an interactive genetic algorithm (GA) is introduced, and its advantages and disadvantages are discussed. To solve the disadvantages, this paper proposes two methods to reduce the burden of interactiv... View full abstract»

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  • Fuzzy measures of aggregated evidences

    Publication Year: 1996, Page(s):572 - 576
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    An expression to evaluate a fuzzy measure from a set of aggregated evidences is introduced. The measure can be used in various applications such as medical diagnosis, approximate decision, voice recognition, etc. The use of the measure gives results comparable with those using other measures, including distance View full abstract»

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  • Locational choice modelling using fuzzy decision tables

    Publication Year: 1996, Page(s):80 - 84
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    Proposes a method to solve qualitative locational choice problems using fuzzy decision tables as a matching model. Firstly, the technique of crisp decision tables is explained, and their use in locational choice problems is advocated. Subsequently, fuzzy extensions of decision tables are defined. Next, using a brief example, it is shown that fuzzy decision tables can be used efficiently for evalua... View full abstract»

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  • Fuzzy inference based on a weighted average of fuzzy sets and its application to ATM network control

    Publication Year: 1996, Page(s):237 - 244
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    This paper proposes a fuzzy inference method based on a weighted average of fuzzy sets. The method can provide inference consequences in the form of normal and convex fuzzy sets. Moreover, it can clarify the maximum value of fuzziness in inference consequences in advance of inference operations. The method is applied to the connection admission control for Asynchronous Transfer Mode (ATM) networks... View full abstract»

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