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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  • 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 (299 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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  • Author index

    Publication Year: 2000, Page(s):1079 - 1080
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    Freely Available from IEEE
  • Numerical solution of dynamic optimization problems with flexible constraints by iterative dynamic programming

    Publication Year: 2000, Page(s):627 - 632 vol.2
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    This work presents a novel algorithm to solve the dynamic optimization problem with flexible constraints. The objective of the problem is considered with different degree of satisfaction. Fuzzy inference is then incorporated into iterative dynamic programming (IDP) to find the solution. Two typical problems are employed to demonstrate the capability and efficiency for the proposed algorithm View full abstract»

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  • On the calculation of a possibilistic equivalent value

    Publication Year: 2000, Page(s):723 - 728 vol.2
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    We describe the idea of a possibilistic variable and introduce the problem of obtaining an equivalent value for a possibilistic variable. This value is seen as being analogous to the expected value in probability theory. A number of properties required of the equivalent value are describe. Two approaches for obtaining the equivalent value for a possibilistic variable are introduced. These approach... View full abstract»

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  • Compact fuzzy models through complexity reduction and evolutionary optimization

    Publication Year: 2000, Page(s):762 - 767 vol.2
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (280 KB)

    Genetic algorithms (GAs) and other evolutionary optimization methods to design fuzzy rules from data for systems modeling and classification have received much attention in recent literature. We show that different tools for modeling and complexity reduction can be favorably combined in a scheme with GA-based parameter optimization. Fuzzy clustering, rule reduction, rule base simplification and co... View full abstract»

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  • 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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  • Fuzzy PERT in series-parallel graphs

    Publication Year: 2000, Page(s):717 - 722 vol.2
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (272 KB)

    This paper deals with the fuzzy project scheduling approach, where fuzzy intervals model uncertain durations of tasks. While it is easy to compute fuzzy earliest starting dates of tasks in the critical path method, the problem of determining latest starting dates and slack times is much more tricky and has never been solved in a fully satisfactory manner in the past. Here, we propose a rigorous tr... View full abstract»

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  • A novel bacterial algorithm to extract the rule base from a training set

    Publication Year: 2000, Page(s):759 - 761 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (128 KB)

    In this paper a novel bacterial algorithm to extract the rule base starting from a training set is presented. The proposed algorithm also optimizes the input and output membership function parameters. The algorithm is based on the use of bacterial operations on every rule in the rule set. A reduced optimized rule base is obtained by using rule fusion and removal procedures. The algorithm performan... 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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  • 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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  • Symbolic stability analysis under relaxed non-separate condition with new fuzzy inference method

    Publication Year: 2000, Page(s):659 - 664 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (212 KB)

    Stability analysis of fuzzy control systems is one of the main topics of fuzzy control. Previously, a stability analysis method on a symbolic level has been proposed. This method opened the door to the design of a stable fuzzy controller using symbols. The validity of the stability analysis in the symbolic system is not guaranteed in the continuous system. To guarantee this validity, a “rela... View full abstract»

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  • SVD based reduction for subdivided rule bases

    Publication Year: 2000, Page(s):712 - 716 vol.2
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (168 KB)

    This paper is motivated by the fact that though fuzzy and B-spline techniques are popular engineering tools, their utilisation is being restricted by their exponential complexity property. As a result SVD based reduction techniques have emerged. These methods apply singular value decomposition to the characteristic matrix of the rule base. The maximum size of the rule base taken into consideration... View full abstract»

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  • Model predictive control: a data-driven approach using simple fuzzy tools

    Publication Year: 2000, Page(s):1017 - 1020 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (344 KB)

    Advances in model predictive control using fuzzy tools are presented. Research results are aggregated to present a complete approach based on data-driven fuzzy tools. A fuzzy model of the system is identified from sampled data using supervised fuzzy clustering for rule extraction. This model is used in model predictive control. The non-convex optimization problem introduced by a nonlinear plant mo... View full abstract»

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  • A novel learning method for intelligent agents using biofunctionality

    Publication Year: 2000, Page(s):753 - 758 vol.2
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (284 KB)

    Building a knowledge base for an intelligent system is the main goal in the development of any learning machine. Our daily lives and experiences suggest that human-like learning systems are better suited for functioning in hard-to-navigate environments because of their high degree of flexibility. This paper applies the biofunctional model of human learning to the design and implementation of a lea... View full abstract»

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  • What do MP and GMP really mean?

    Publication Year: 2000, Page(s):605 - 614 vol.2
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    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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  • A fuzzy logic based AGC algorithm for a radio communication system

    Publication Year: 2000, Page(s):977 - 980 vol.2
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (224 KB)

    This paper describes the implementation of a fuzzy logic automatic gain control (AGC) applied to amateur radio communications using ionospheric propagation mode and single side band radio equipment. A fuzzy logic algorithm was directly substituted for the original AGC algorithm, which resulted in an improved signal strength, clarity response and algorithm performance. A comparison between the divi... View full abstract»

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  • Sensor selected fusion using selection rules acquired by ES (application to inference of surface roughness in grinding system)

    Publication Year: 2000, Page(s):1068 - 1073 vol.2
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    In grinding process, sensor fusion methods for inferring the surface roughness from online sensing information have received much attention, because it takes a long time to measure the surface roughness during process. We propose a sensor selected fusion system using reliability based on possibility. This method can select sensor information by selection rules of reliability determined by an opera... View full abstract»

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  • A fuzzy similarity approach in text classification task

    Publication Year: 2000, Page(s):653 - 658 vol.2
    Cited by:  Papers (13)
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    We present a fuzzy similarity approach to address a text classification problem. The effectiveness of several fuzzy conjunction and disjunction operators used in a fuzzy similarity formula and on several document representations were evaluated using test sets from three text document collections. Based on empirical results obtained from using these collections, a special case of the fuzzy similari... View full abstract»

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  • A hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems

    Publication Year: 2000, Page(s):706 - 711 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (272 KB)

    We propose a hybrid algorithm of fuzzy versions of two genetics-based machine learning approaches: Michigan and Pittsburgh approaches. First, we examine the performance of each approach by computer simulations on commonly used data sets. Simulation results clearly demonstrate that each approach has its own advantages and disadvantages. While the Michigan approach has high search ability to efficie... View full abstract»

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  • Servicebots-a scalable architecture for autonomous service robots

    Publication Year: 2000, Page(s):1013 - 1016 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (372 KB)

    The proposed architecture is designed for a group of service robots operating in structured environments. Although each robot is an autonomous systems, the group of service robots is coordinated to ensure a reliable service delivery. The relationship between the autonomy of behavior of each robot and the coordination of the team is the backbone of the proposed architecture. We show how aspects rel... View full abstract»

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  • Genetic evolution: a dynamic fuzzy approach

    Publication Year: 2000, Page(s):748 - 752 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (164 KB)

    In this paper, a dynamic fuzzy approach is proposed for the selection of an evaluation function for a genetic algorithm (GA). The GA is in turn used to optimise a neural network (NN) architecture. A correctly classified pattern in the presence of error is considered for the fitness function. Fuzzy logic is used to dynamically select the chromosome for evolution. It gives a direction of evolution a... View full abstract»

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  • T-S scheme for trajectory tracking of an underactuated robot

    Publication Year: 2000, Page(s):798 - 803 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (204 KB)

    This paper presents a novel approach to achieve trajectory tracking for nonlinear systems. Combining linear regulator theory with the Takagi-Sugeno (TS) fuzzy methodology a new algorithm is proposed, which is able to handle complex nonlinear systems such as under-actuated mechanisms. The paper includes a description of the algorithm as well as real time results for the application to an specific u... 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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  • Fuzzy service selection in active networks

    Publication Year: 2000, Page(s):889 - 893 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (252 KB)

    The object selection problem requires the evaluation of the fitness of a candidate server object to execute a certain task on the basis of the information about its functional and non-functional features. Active networks store such information in a Trader agent that can be browsed or queried by client objects. In this paper, a fuzzy data model is proposed as the basis of the design of a Trader sys... View full abstract»

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