Scheduled System Maintenance
On Tuesday, May 22, IEEE Xplore will undergo scheduled maintenance. Single article sales and account management will be unavailable
from 6:00am–5:00pm ET. There may be intermittent impact on performance from noon–6:00pm ET.
We apologize for the inconvenience.

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

10-12 June 1999

Filter Results

Displaying Results 1 - 25 of 191
  • 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

    Publication Year: 1999
    Request permission for commercial reuse | PDF file iconPDF (843 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 1999, Page(s):923 - 925
    Request permission for commercial reuse | PDF file iconPDF (154 KB)
    Freely Available from IEEE
  • The fuzzy shadowing property

    Publication Year: 1999, Page(s):502 - 506
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    Addresses the modeling of chaotic systems using fuzzy functional approximations. In numerical simulations of chaos, local modeling errors are cumulative. A natural question, therefore, arises in examining a numerically generated chaotic trajectory: is there a “true” trajectory of the chaotic system, starting from a nearby set of initial conditions, that shadows, for a certain ε di... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • System identification via a virtual higher-resolution fuzzy model

    Publication Year: 1999, Page(s):497 - 501
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    A fuzzy identification algorithm with an inherent knowledge generalization mechanism is reported in this paper. In the proposed identification algorithm, a low-resolution fuzzy model is used to mimic the effect of a virtual higher-resolution model. The gradient descent optimization method is then applied to update the rule-base by using the difference between the actual system output and the model... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A fuzzy classifier using genetic algorithms for biological data

    Publication Year: 1999, Page(s):680 - 684
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    This paper presents a fuzzy classifier that generates fuzzy if-then rules from numerical data for multidimensional classification problems using genetic algorithms with rejection of low confidence patterns View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Subdivision methods for decreasing excess fuzziness of fuzzy arithmetic in fuzzified neural networks

    Publication Year: 1999, Page(s):448 - 452
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    When a fuzzy input vector is presented to a multi-layer feedforward neural network, the corresponding fuzzy output vector is calculated by fuzzy arithmetic. It is well known that fuzzy arithmetic involves excess fuzziness; we employ subdivision methods of interval input vectors for decreasing excess fuzziness included in fuzzy outputs from neural networks. First we examine a simple subdivision met... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An easily implemented approach to fuzzy system identification

    Publication Year: 1999, Page(s):492 - 496
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    An easily implemented approach to fuzzy system identification is proposed. The proposed approach consists of two phases. The first phase involves a baseline design to effectively identify a prototype fuzzy system for a target system from a collection of input-output data pairs. This is implemented by incorporating the subtractive clustering method to determine the number of clusters and the fuzzy ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 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»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On the principles of fuzzy classification

    Publication Year: 1999, Page(s):675 - 679
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    In this paper we analyze the concept of fuzzy partition, starting from the classical key definition given by E.H. Ruspini (1969). Our main claim is that such a definition is too restrictive, since it assumes a particular set of classes that in practice may be reached only after a long learning process. As a consequence, some principles to be taken into account in fuzzy classification methods are d... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A fuzzy reasoning method for handling fuzzy rules with different specificity levels

    Publication Year: 1999, Page(s):110 - 114
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    This paper discusses the fuzzy reasoning for fuzzy if-then rules with different specificity levels. The fuzzy rule-based system is a mixture of general and specific fuzzy if-then rules. A general fuzzy if-then rule, which has many “don't care” conditions in the antecedent part, covers a large region of a multi-dimensional input space. On the other hand, a specific fuzzy if-then rule wi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A cognitive model for context dependent fuzzy knowledge

    Publication Year: 1999, Page(s):443 - 447
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB)

    Context dependency is an important problem of knowledge. Fuzzy information also suffers from this dependency when any fuzzy concept, once described, is isolated from its context. The paper describes a cognitive model in which fuzzy knowledge is processed with respect to its surrounding context. The model is derived from some psycho-cognitive approaches: the integrity of knowledge and its context a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A forward looking infrared sensor for landmine detection that incorporates a novel method of identifying regions of interest and a fuzzy inference system

    Publication Year: 1999, Page(s):408 - 412
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB)

    Methods used to display image data, define regions of interest in the images and to automatically classify targets in a forward looking infrared sensor are described in this paper. The forward looking infrared sensor is used in conjunction with a vehicular based landmine detection system. Specific examples of performance attained on mine calibration lanes both with and without a fuzzy inference sy... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Estimation of the food product quality using fuzzy sets

    Publication Year: 1999, Page(s):487 - 491
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    The estimation of food product quality using fuzzy sets is discussed in this paper through two specific examples: (i) prediction of the luminance of biscuits during a baking process, and (ii) prediction of wet-milling quality of maize during a drying process. Two fuzzy approaches are validated: a black-box approach and a knowledge-based approach to modeling. The results are good and coherent in bo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Softly focusing on data

    Publication Year: 1999, Page(s):700 - 704
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    A computational approach providing a focus for unsupervised, reactive data mining is suggested. In data mining, achieving focus is an important issue. This is because there are too many attributes and values in a real database to consider them all. A soft focus is suggested, as both the data and the focus product may be imprecise. An approach is suggested for unsupervised searching controlled by p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy clustering in data mining for telco database marketing campaigns

    Publication Year: 1999, Page(s):720 - 726
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (744 KB)

    Fuzzy methods have been applied to data mining and to databases of customer information for marketing. This paper explores fuzzy clustering approaches to telecommunications database marketing. Fuzzy clustering methods can be used to mine telco customer and prospect databases to gain residential and business customer market share. Four key fuzzy enhancements to traditional database marketing are de... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • About the use of fuzzy clustering for texture classification

    Publication Year: 1999, Page(s):670 - 674
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    This paper describes the use of a complex modular image processing system for texture classification. An introduction into problems that arise when handling textures is given. Furthermore the modules of the proposed system are described, namely the filtering and statistical modules, automatic feature vector optimization module and the classification module using clustering and fuzzy clustering met... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Quantification of fuzzy mappings: a relevance of rule-based architectures

    Publication Year: 1999, Page(s):105 - 109
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    Fuzzy mappings are fundamental constructs of granular computing and rule-based systems, in particular. The notion of relevance of the fuzzy mappings is instrumental in the quantification of their quality prior to any detailed construction. For the purposes of such quantification, we introduce shadowed sets and discuss their role therein. It is revealed that shadowed sets deliver an interesting thr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Design of robust fuzzy controllers for aerospace applications

    Publication Year: 1999, Page(s):438 - 442
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    The paper details a Fuzzy-Feedback Linearisation controller applied to a non-linear missile. The design uses an evolutionary algorithm optimisation approach to a multiple model description of the airframe aerodynamics. A set of convex models is produced that map the vertex points in a high order parameter space (of the order of 16 variables). These are used to determine the membership function dis... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A fuzzy set-point state feedback controller for a temperature process

    Publication Year: 1999, Page(s):650 - 654
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    This paper describes a prototype fuzzy function generator system that improves the performance of a state feedback controller for a temperature process. The system modifies the reference value (set-point) which modifies the response of the system when external disturbances exist, and also compensates the nonlinear effects of the process. The fuzzy function generator receives the temperature error ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Modelling emotions with multidimensional logic

    Publication Year: 1999, Page(s):42 - 46
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    One of the objectives of artificial intelligence has been the modelling of “human” characteristics, such as emotions, behaviour, conscience, etc., but in such characteristics we might find a certain degree of contradiction. Previous work on modelling emotions and its problems are reviewed. A model for emotions is proposed using multidimensional logic, which handles the degree of contra... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • White blood cell detection in bone marrow images

    Publication Year: 1999, Page(s):403 - 407
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    This paper presents an approach to the automatic detection of white blood cells in bone marrow microscopic images. This approach is based on fuzzy techniques with the aim to allow: good processing of both vagueness and indetermination characteristics of this kind of image; and the analysis of monochrome instead of color images. Taking these considerations into account, a very low computational cos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Assembly planning based on genetic algorithms

    Publication Year: 1999, Page(s):482 - 486
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    A genetic algorithm that generates and evaluates assembly plans is proposed. This algorithm is able to generate near-optimal assembly plans through purposely developed crossover and mutation operators starting from a randomly initialized population of assembly sequences. The optimization criteria we used to assess the quality of feasible assembly sequences are: (i) to minimize the orientation chan... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Application of adaptive fuzzy logic systems to model electric arc furnaces

    Publication Year: 1999, Page(s):854 - 858
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    Presents the application of adaptive fuzzy logic systems to modelling electric arc furnaces. The main objectives are to provide the rationale and to justify the use of fuzzy modeling for electric furnaces. This is done with reference to three important properties of fuzzy logic systems, namely their nonlinear black-box modeling capability, universal approximation ability and their functional equiv... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Combining classification and regression trees and the neuro-fuzzy inference system for environmental data modeling

    Publication Year: 1999, Page(s):695 - 699
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    A procedure is presented for dynamic statistical modeling of predictands with nonlinear predictand-predictor relationships when there are many potential predictors. Classification and regression trees (CART) are used for predictor selection and data stratification. The CART output is suitable for piecewise-continuous predictands. Using predictors selected by CART, a neuro-fuzzy inference system (N... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Granular correlation analysis in data mining

    Publication Year: 1999, Page(s):715 - 719
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    In this paper, we introduce and study fuzzy sets in the context of granular correlation. This arises as a result of using fuzzy information granules and can be regarded as a generic vehicle for data mining. It is shown how an analysis of fuzzy granular correlation helps to reveal and quantify relationships between variables in any data mining task View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.