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Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063)

7-10 May 2000

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  • The Ninth IEEE International Conference on Fuzzy Systems [front matter]

    Publication Year: 2000, Page(s):i - xx
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    Freely Available from IEEE
  • Author index

    Publication Year: 2000, Page(s):1079 - 1080
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    Freely Available from IEEE
  • The fuzzy clustering on market segment

    Publication Year: 2000, Page(s):621 - 626 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    In any study of market segmentation, researchers often use clustering analysis as a tool. The analysis often is in a crisp partition form. But in practice, the sample are usually not well distributed, therefore the form may not be precisely defined. That is, one sample can belong to two or more groups. But, due to the fact that the requirements on the consumers and on the market are very high and ... View full abstract»

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  • Adaptive control of nonlinear MIMO systems with transport delay: conventional, rule based or neural?

    Publication Year: 2000, Page(s):587 - 592 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    We discuss the problem of control of zero order MIMO nonlinear systems with transport delay. This problem appears in numerous manufacturing control applications that are characterized with slow dynamics which can be ignored with respect to the sampling rate. We propose three alternative indirect adaptive control algorithms: 1) a conventional application of adaptive control based on a linearized mo... View full abstract»

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  • Mining approximate dependency to answer null queries on similarity-based fuzzy relational databases

    Publication Year: 2000, Page(s):615 - 620 vol.2
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    Null queries are queries that elicit a null answer from the database. In possibility-based fuzzy relational database model, a theoretical framework utilizing analogical reasoning and fuzzy functional dependency to answer null queries has been proposed by Dutta (1991). However, no searching algorithm is provided to discover the fuzzy functional dependencies among attributes. In this work, we extend... View full abstract»

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  • Implementation of fuzzy controllers with radial basis neural networks

    Publication Year: 2000, Page(s):581 - 586 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    Low cost microprocessors cannot always devote the resources necessary to compute a fuzzy system, and this can be a deterrent in its application. The purpose of this work is to demonstrate that neural networks are a viable form for implementing fuzzy systems in a practical cost effective application. A neural network can be trained to efficiently approximate a fuzzy control surface to a desired deg... View full abstract»

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  • Fuzzy advantage learning

    Publication Year: 2000, Page(s):865 - 870 vol.2
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB)

    Based on advantage learning and fuzzy inference systems (FISs), fuzzy advantage learning (FAL) is presented. In FAL, a FIS is applied to introduce strong generalization ability and to generate continuous actions for advantage learning. This approach is illustrated and compared to other reinforcement learning methods. The simulation study on inverted pendulum control shows its effectiveness with fa... View full abstract»

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  • Chaining in fuzzy rule-based systems

    Publication Year: 2000, Page(s):906 - 910 vol.2
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    A fuzzy expert system must do rule chaining differently than a non-fuzzy expert system. In particular, all rules that can fire with a particular linguistic variable in their consequent must fire before any rule whose antecedent conditions depend upon the resultant fuzzy set value is allowed to fire. The dependent rules would be considered in a chain with the fuzzy rules which generate or assert th... View full abstract»

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  • Automatic keyword extraction with relational clustering and Levenshtein distances

    Publication Year: 2000, Page(s):636 - 640 vol.2
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    Alternating cluster estimation (ACE) is a generalized clustering model. Relational ACE is a modification of ACE that can be used to cluster data which do not possess a clear numerical representation, but for which a meaningful relation matrix can be defined. For text data sets we define (pairwise) relation matrices based on the Levenshtein string distance (1966). Relational ACE with Levenshtein di... View full abstract»

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  • What do MP and GMP really mean?

    Publication Year: 2000, Page(s):605 - 614 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB)

    Some new concepts about modus ponens (MP) are discussed. Should the inference rule of MP be the logic implication A→B? Should the consequence of MP be B? Negative answers are arrived at. The inference rule should be the conditional B|A and the consequence should be A∧B. These corrections are especially important for generalized modus ponens (GMP) View full abstract»

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  • Adaptive arrangement classifier via neuro-fuzzy modeling

    Publication Year: 2000, Page(s):577 - 580 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB)

    A hybrid fuzzy-neuro classifier that extracts rules in terms of polyhedrons in the input space is proposed. The network uses a fuzzy disjunctive normal form in its hidden layer to effectively map polyhedral regions, which are gradually adjusted during learning, to category labels. The major advantage of the present method lies in that it is quite simple in architecture, every layer enjoys a clear ... View full abstract»

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  • DNA genetic algorithms for design of fuzzy systems

    Publication Year: 2000, Page(s):1005 - 1008 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    A new DNA genetic algorithm (DNA-GA) based on the mechanism of biological DNA and genetic information is proposed. The genetic operators of the DNA-GA are discussed. The DNA encoding method is suitable for the representation of complex knowledge. The DNA-GA is employed to design effective generalized fuzzy systems (GFS) for the modeling and control applications. GFS employ arbitrary fuzzy rules, e... View full abstract»

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  • Fuzzy modeling based on premise optimization

    Publication Year: 2000, Page(s):859 - 864 vol.2
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    The task of fuzzy modeling involves specification of rule antecedents and determination of their consequent counterparts. Rule premises appear a critical issue because they correspond to the structure of a fuzzy model. The paper proposes an approach to extracting fuzzy rules from training examples by means of premise optimization. In order to construct a `parsimonious' fuzzy model with high genera... View full abstract»

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  • LMI-based fuzzy chaotic synchronization and communication

    Publication Year: 2000, Page(s):900 - 905 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    This paper presents linear matrix inequalities (LMI) based fuzzy chaotic synchronization and communication. We propose a modulated Takagi-Sugeno (T-S) fuzzy model. The modulated T-S fuzzy model is constructed by choosing the common factor or the only one variable of nonlinear terms in chaotic systems as the premise variable of fuzzy rules and output signal. Following this model, some restricting c... View full abstract»

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  • Extraction of quantified fuzzy rules from numerical data

    Publication Year: 2000, Page(s):1062 - 1067 vol.2
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    We propose a method to extract quantified fuzzy rules from numerical data. An example of this type of fuzzy rule is “Most data whose attribute A is large are small in the attribute B”, where the “large” and “small” are fuzzy sets of attributes A and B, respectively, and “most” as a fuzzy quantifier. For selecting a combination of fuzzy sets in attrib... View full abstract»

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  • A maze-running algorithm using fuzzy set theory for routing methods of printed circuit boards

    Publication Year: 2000, Page(s):985 - 988 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    This paper presents a routing technique for printed circuit boards using fuzzy sets theory. In PCB designs, a clearance that means the allowable minimum spacing between conductors is defined. When an automated router performs wiring based on simple numeric clearances, traces are often placed along the boundaries of a clearance. This makes routing subsequent nets virtually infeasible, leading to th... View full abstract»

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  • Functional dependencies in extended possibility-based fuzzy relational databases

    Publication Year: 2000, Page(s):929 - 932 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    Based on the fuzzy relational databases where fuzziness of data appears in attribute values in the forms of possibility attributions as well as proximity relations in attribute domain elements, called extended possibility-based fuzzy relational databases, a notion of semantic equivalence of fuzzy data is introduced in this paper. Following this notion, we focus on the issues of fuzzy functional de... View full abstract»

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  • Fuzzy decentralized controller and observer design for nonlinear interconnected systems

    Publication Year: 2000, Page(s):945 - 948 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB)

    In general, it is not easy to design a decentralized controller for nonlinear interconnected systems. In this study, the stability of nonlinear interconnected systems is studied via a fuzzy decentralized control method. First, the nonlinear interconnected systems are represented by an equivalent Takagi-Sugeno type fuzzy model. If the state variables are unavailable, a fuzzy observer-based state fe... View full abstract»

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  • Sliding mode observer for a Takagi Sugeno fuzzy system

    Publication Year: 2000, Page(s):665 - 670 vol.2
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    Deals with a sliding mode fuzzy observer for nonlinear plants. A nonlinear plant is approximated by a multiple model Takagi Sugeno (TS) fuzzy system and then transformed into a canonical form for which a nonlinear observer is constructed. The paper presents a type of sliding mode fuzzy observer that deals with matched and unmatched uncertainties in the plant model very effectively View full abstract»

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  • Towards soft computing object-oriented logic programming

    Publication Year: 2000, Page(s):768 - 773 vol.2
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    Logic programming, object-oriented programming and soft computing have provided advantageous methodologies and techniques for computer-based problem solving. This paper proposes a framework that combines these three disciplines to exploit their own advantages in dealing with real world problems. The framework is a logic-based one in which class and object properties are represented by clauses. Vag... View full abstract»

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  • An analytical approach for choosing the right fuzzy implication based on performance criteria for the fuzzy control

    Publication Year: 2000, Page(s):560 - 565 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    Towards a fuzzy control theory, we investigate the influence of some parameters on some control system performances. We focus on fuzzy implication because, in practice, control engineers often proceed to simplification that mask the effects of this parameter; although these simplification were aimed to solve another parameter problem-the defuzzification problem. Moreover, the fuzzy parameters are ... View full abstract»

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  • A bonus-malus system in the fuzzy set theory [insurance pricing decisions]

    Publication Year: 2000, Page(s):1033 - 1036 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    Describes how fuzzy logic can be used to make insurance pricing decisions. The fuzzy set theory is developed to improve the classical bonus-malus rating system in automobile insurance. The paper presents a fuzzy version of a symmetrical model based on Zimmermann's approach View full abstract»

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  • Interpolative model for fuzzy arithmetic

    Publication Year: 2000, Page(s):633 - 635 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB)

    Standard model of fuzzy computations is based on extension principle. It is known to work well, in practice, only for continuous fuzzy numbers, while producing unintuitive results when one or more arguments are discrete. It is also computationally cumbersome for all but linear operations. Another model was proposed for trapezoidal numbers only. Its operations amount to computing on the four vertic... View full abstract»

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  • Basic algebra of BK products of relations in t-norm fuzzy logics

    Publication Year: 2000, Page(s):599 - 604 vol.2
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    Relational computing structures make it possible to perform knowledge representation as well as all the computations in intelligent systems in a unified way. When crisp computations are replaced by fuzzy relational computations, it is possible to improve significantly handling of indeterminacy and incompleteness of information. Fuzzy computational structures in which cuts commute with closures ove... View full abstract»

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  • Analysis and design of fuzzy robust observer for uncertain nonlinear systems

    Publication Year: 2000, Page(s):993 - 996 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    This paper addresses the analysis and the design of fuzzy robust observer for a class of uncertain nonlinear systems on the basis of Takagi-Sugeno fuzzy model, which considers both the states unobservable problem and the uncertainty problem of fuzzy model. It is shown that the designed robust observers possess the stability and the state estimation errors converge to zero View full abstract»

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