1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228)

4-9 May 1998

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  • The 1998 IEEE International Conference on Fuzzy Systems Proceedings [front matter]

    Publication Year: 1998, Page(s):i - xxiv
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  • Fuzzy Sets Based Global Evaluation in the Metal Cutting Process Planning

    Publication Year: 1998, Page(s):897 - 902
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (707 KB)

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  • An interval approach to clustering

    Publication Year: 1998, Page(s):1464 - 1469
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (486 KB)

    Generally, a linguistic expression attributed to a given situation is represented by a fuzzy set characterized by a membership function. The /spl alpha/ level of this function is an interval. Therefore the notion of interval is implicit in the definition of a fuzzy set relative to the linguistic expression. Thus, the coding by interval is justified. However, the utilization of intervals is not res... View full abstract»

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  • A Fuzzy Phonetic ModuIe for Speech Synthesis from Text

    Publication Year: 1998, Page(s):1512 - 1517
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  • Author's index

    Publication Year: 1998, Page(s):A_1 - A_3
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  • Xfuzzy: a design environment for fuzzy systems

    Publication Year: 1998, Page(s):1060 - 1065 vol.2
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    Xfuzzy is a CAD tool that eases the development of fuzzy systems from their conception to their final implementation. It is composed of a set of modules and programs that share a common specification language and cover the different stages of the design process. Modules for describing, verifying and tuning the behavior of the system are integrated within the environment. In addition to these featu... View full abstract»

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  • Dynamic selection of dispatching rules by fuzzy inference

    Publication Year: 1998, Page(s):979 - 984 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    Proposes a fuzzy inference-based selection of dispatching rules, adapting the scheduling decision to the dynamic changes in the manufacturing environment. In the proposed method, the performance of different dispatching rules is studied while varying production conditions. Environmental variables are then used to detect those changes, as input to the fuzzy inference system. The fuzzy inference wil... View full abstract»

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  • A genetic fuzzy-knowledge integration framework

    Publication Year: 1998, Page(s):1194 - 1199 vol.2
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    We propose a genetic fuzzy-knowledge integration framework that could effectively integrate multiple fuzzy rule-sets and their membership function sets simultaneously. The proposed approach consists of two phases: fuzzy-knowledge encoding and fuzzy-knowledge integration. In the encoding phase, each fuzzy rule set associated with its membership functions is first encoded as a string. The combined s... View full abstract»

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  • A framework for the choices of design alternatives

    Publication Year: 1998, Page(s):1054 - 1059 vol.2
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    A software design process is to build a system that satisfies the customer's requirements which are often not crisply defined. Thus, design engineers often need to make design trade-off decisions to choose a set of design alternatives that satisfies the requirements as much as possible. In this paper, we propose a formal framework to assist design engineers in choosing design alternatives. Our app... View full abstract»

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  • Evolutionary-fuzzy prediction for strategic QoS routing in broadband networks

    Publication Year: 1998, Page(s):1488 - 1493 vol.2
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (692 KB)

    We present an application of evolutionary-fuzzy prediction in inter-domain routing of broadband network connections with quality of services requirements in the case of an integrated ATM and SDH networking architecture. The higher-layer nature of inter-domain routing requires us to review the whole routing process in order to maximize performance at low decision making cost, a clear case for fuzzy... View full abstract»

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  • Approximate policy improvement for continuous action set-point regulation problems

    Publication Year: 1998, Page(s):1684 - 1689 vol.2
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    Model-free control methods based on classical dynamic programming approximation algorithms are a fertile area of research. These methods are generally for discrete state and action spaces. This research proposes an algorithm for extending approximate policy iteration to continuous action spaces by combining the derivative-free line search methods of nonlinear optimization with policy improvement b... View full abstract»

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  • Investigation of automatic rule generation for hierarchical fuzzy systems

    Publication Year: 1998, Page(s):973 - 978 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB)

    The paper is based upon a method for the automatic generation of rules for hierarchical fuzzy associative memories (HIFAM). The effectiveness and termination of a general description of a training algorithm for HIFAMs is proved and experimental results on how HIFAMs evolve during training are given as well as a comparison with other machine learning techniques View full abstract»

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  • An approach to rule-based knowledge extraction

    Publication Year: 1998, Page(s):1188 - 1193 vol.2
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    The extraction of easily interpretable knowledge from the large amount of data measured in experiments is very desirable. This paper proposes a method to achieve this. A fuzzy rule system is first generated and optimized using evolution strategies. This fuzzy system is then converted to an RBF neural network to refine the obtained knowledge. In order to extract understandable fuzzy rules from the ... View full abstract»

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  • Expert scheduling of petroleum support vessels for offshore applications

    Publication Year: 1998, Page(s):1048 - 1053 vol.2
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    This paper presents an expert system model designed for wide geographic sparse scheduling applications. Fuzzy logic and knowledge based formalism are combined with classical solving tools (e.g. constraint analysis rules, date propagation and incremental search) in order to reduce the computational cost and enhance the efficiency of the solving procedure. This solving paradigm have been implemented... View full abstract»

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  • Specialized neural network and fuzzy logic algorithm in comparison for word frequency prediction in document filtering

    Publication Year: 1998, Page(s):1355 - 1360 vol.2
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    For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency measure estimated from some important parts of the document using neural network approaches. In this paper a fuzzy logic technique and as its simplified case a neural network algorithm wi... View full abstract»

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  • Global and local performance in fuzzy modeling

    Publication Year: 1998, Page(s):1009 - 1014 vol.2
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    Most of the techniques for constructing fuzzy models from data focus only on minimizing the error between the model's output and the training data; however, these approaches may result in a fuzzy model where individual rules are misleading. The goal of our research is to develop a scheme for identifying Takagi-Sugeno-Kang (TSK) models whose individual rules approximate the training data covered by... View full abstract»

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  • Fault detection in dynamic systems based on fuzzy diagnosis

    Publication Year: 1998, Page(s):1482 - 1487 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    The detection and classification of faults in time-invariant dynamic systems involve tasks associated with system identification and pattern recognition. The purpose of the paper is to present the design of a process of fault detection and classification. The faults are characterized by a permanent perturbation on physical parameters of the original system, an event that is detected by monitoring ... View full abstract»

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  • Generalized adaptive defuzzifier

    Publication Year: 1998, Page(s):1680 - 1683 vol.2
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    A generalized adaptive defuzzifier (GAD) is proposed. GAD consists of two parts: (1) a rule firing engine (RFE) which fires only the rules whose firing strengths are equal to or greater than a prespecified threshold, and (2) a rule aggregation engine (RAE) which combines the fired rules with a modified version of the center of gravity (COG) defuzzifier. GAD is more general so that COG and mean of ... View full abstract»

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  • A global-local learning algorithm for identifying Takagi-Sugeno-Kang fuzzy models

    Publication Year: 1998, Page(s):967 - 972 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    The fuzzy inference system proposed by Takagi, Sugeno and Kang, which is known as the TSK model in fuzzy system literature, provides a powerful tool for modeling complex nonlinear systems. Unlike conventional modeling where a single model is used to describe the global behavior of a system, TSK modeling is essentially a multi-model approach in which simple submodels combined to describe the global... View full abstract»

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  • Fuzzy perceptual filtering for still image compression

    Publication Year: 1998, Page(s):1637 - 1642 vol.2
    Cited by:  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    In this paper we describe the application of a fuzzy perceptual classifier to improve still image encoding. A weighted low-pass filtering is applied before standard compression algorithms, which blurs image pixels according to their perceptual relevance. This results in a reduction of the number of bits required to encode an image without reducing perceived quality View full abstract»

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  • Multi-objective genetic local search for minimizing the number of fuzzy rules for pattern classification problems

    Publication Year: 1998, Page(s):1100 - 1105 vol.2
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    For constructing compact fuzzy rule-based systems with high classification performance, we have already formulated a rule selection problem. Our rule selection problem has two objectives: to minimize the number of selected fuzzy if-then rules (i.e., to minimize the fuzzy rule base) and to maximize the number of correctly classified patterns (i.e., to maximize the classification performance). In th... View full abstract»

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  • A new fuzzy-fractal-genetic method for automated mathematical modelling and simulation of robotic dynamic systems

    Publication Year: 1998, Page(s):1182 - 1187 vol.2
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    We describe a computer program for mathematical modelling and simulation (MMS) of robotic dynamic systems (RDS) using fuzzy logic techniques, genetic algorithms and fractal theory. The computer program combines soft computing (SC) techniques with mathematical methods and can be considered as an intelligent system for the domain of modelling and simulation of robotic systems. The computer program s... View full abstract»

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  • Product pricing decision support fuzzy systems through the Internet

    Publication Year: 1998, Page(s):1664 - 1669 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    The extremely fast development of software tools in the last few years has opened a completely new perspective for computing systems. The emergence of commuting languages such as Perl and Java has made possible the development of online systems running as cross-platform programs. We present an example of such systems: a commuting system for cost analysis. The system provides an analysis of the cos... View full abstract»

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  • Fuzzy clustering by quadratic regularization

    Publication Year: 1998, Page(s):1394 - 1399 vol.2
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (460 KB)

    A quadratic regularization method is proposed as a variation of the fuzzy c-means. The standard fuzzy c-means is regarded as a regularization of the crisp k-means, and hence other regularization methods can be studied as fuzzy versions of the crisp c-means. A new algorithm for calculating membership values is derived, whereas calculation of cluster centers is similar to the standard method. The ne... View full abstract»

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  • Fuzzy model-based symptom generation and fault diagnosis for nonlinear processes

    Publication Year: 1998, Page(s):945 - 950 vol.2
    Cited by:  Papers (1)
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    Local linear fuzzy models are used for fault detection and fault diagnosis (FDD) for nonlinear processes. A Takagi-Sugeno type fuzzy model of the nominal process is identified off-line and linearized in the current operating point. In addition, a second linear model is identified online by applying a recursive least-squares (RLS) algorithm. The deviation in the parameters of both models lead to sy... View full abstract»

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