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Proceedings of IEEE 5th International Fuzzy Systems

11-11 Sept. 1996

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  • Proceedings of the Fifth IEEE International Conference on Fuzzy Systems Fuzz-IEEE '96 [front matter]

    Publication Year: 1996, Page(s):i - xxxi
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    Freely Available from IEEE
  • A fuzzy algorithm for pixel classification based on the discrepancy norm

    Publication Year: 1996, Page(s):2007 - 2012 vol.3
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    A fuzzy method for a particular kind of pixel classification is proposed. It is one of the most important results in the development of an inspection system for a silk-screen printing process. The classification algorithm is applied to a reference image in the initial step of the printing process in order to obtain the regions which are to be checked by applying different criteria. Tight limitatio... View full abstract»

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  • Fuzz-IEEE Author Index

    Publication Year: 1996, Page(s): A
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    Freely Available from IEEE
  • Experiments on using fuzzy clustering for fuzzy control system design

    Publication Year: 1996, Page(s):2168 - 2174 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    We report the experiments on using fuzzy clustering method for fuzzy control system design. We compare, in the context of the inverted pendulum problem, the “exact” control surface generated by numerical integration and modeled control surface generated by the fuzzy rules of a fuzzy controller. The fuzzy rules are obtained by applying fuzzy clustering to a small random set of learning ... View full abstract»

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  • Approximated discrete system of fuzzy control system and stability analysis

    Publication Year: 1996, Page(s):2155 - 2161 vol.3
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    Fuzzy controls can describe control rules using if-then fuzzy rules and it can incorporate experts' control rules. It is, however, difficult to guarantee the stability of fuzzy control systems. This paper presents a new method for stability analysis of fuzzy control systems using Petri nets. By approximating the fuzzy control system as a discrete system, the fuzzy control system can be expressed u... View full abstract»

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  • Design of a stable and robust fuzzy controller for a class of nonlinear system

    Publication Year: 1996, Page(s):2150 - 2154 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    In this paper, the principle of sliding mode control is used as the basis to develop a fuzzy controller for a class of nonlinear systems. The proposed fuzzy sliding mode controller (SMFC) preserves the fundamental property of sliding mode control, which is stability and robustness in the presence of disturbances and model uncertainties. For illustration the fuzzy controller is applied to the inver... View full abstract»

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  • Information engineering and fuzzy logic

    Publication Year: 1996, Page(s):1525 - 1531 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (760 KB)

    Information engineering constitutes a variety of tasks related to: 1) information processing (data clarification, enhancing, classification, fusion, summarization, and modelling); 2) information retrieving (through querying and reasoning); and 3) information exploitation (for making decision, designing and optimizing). These tasks are becoming increasingly important with the confluence of computer... View full abstract»

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  • Fuzzy logic enhanced symmetric dynamic programming for speech recognition

    Publication Year: 1996, Page(s):2013 - 2019 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (612 KB)

    Fuzzy logic allows effective decision making in the presence of uncertainty. Identifying spoken words, even in an ideal environment by a trained speaker, is a complex task filled with uncertainty. The speech waveform is nonlinear and variant, removing the possibility of simple analysis. Dynamic programming is a time normalization technique that allows static templates to be used to identify spoken... View full abstract»

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  • CRI as approximate reasoning tool: an analysis via T-indistinguishability operators

    Publication Year: 1996, Page(s):2094 - 2097 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    The compositional rule of inference (CRI) is a useful tool for doing approximate reasoning in the sense that similar hypothesis are transformed via CRI into similar thesis. In the paper we formalize the meaning of these similarities by means of the natural T-indistinguishability E¯ (an indistinguishability operator over a set of fuzzy sets). We prove that all the CRI processes are extensional... View full abstract»

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  • A hybrid fuzzy feature extraction framework for handwritten numeric fields recognition

    Publication Year: 1996, Page(s):1881 - 1885 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    A hybrid feature extraction framework for handwritten numeric fields recognition is described. The numeric fields were extracted from binary images of credit card application forms. The images include identity numbers and telephone numbers. The feature extraction framework utilizes a cascade of multiple Kohonen self-organizing feature maps and sets of membership value generation units. The goal of... View full abstract»

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  • Generating fuzzy rules from data

    Publication Year: 1996, Page(s):1757 - 1762 vol.3
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    This paper introduces an effective method of developing fuzzy rules from continuous valued data. The fuzzy rules may be used for control applications without tuning. The fuzzy rules are created by exploiting the properties of decision trees, as embodied by the C4.5 decision tree learning system. A crisp decision tree is created by creating a discrete set of fuzzy output classes and providing a set... View full abstract»

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  • Fuzzy-PID controllers vs. fuzzy-PI controllers

    Publication Year: 1996, Page(s):1598 - 1604 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB)

    The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control has made possible the establishment of intell... View full abstract»

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  • Connectedness in systems theory

    Publication Year: 1996, Page(s):2045 - 2048 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Finite state machines and directed graphs share certain fundamental properties. This can be seen from the natural way a directed graph can be associated with a finite state machine to describe the state transition of the finite state machine. Likewise, fuzzy finite state machines and fuzzy directed graphs share these fundamental properties. As a matter of fact, all four of these systems together w... View full abstract»

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  • Reducing the high dimensionality problem in fuzzy dynamic models

    Publication Year: 1996, Page(s):1807 - 1812 vol.3
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    An incremental type of fuzzy dynamic model suitable for one-step-ahead prediction of non-linear dynamic processes is presented and analysed. It is realized by a two-dimensional fuzzy inference procedure with inputs being the change-of-input and change-of-output of the process. Another second-level fuzzy tuning block is used to recursively update the scaling factors (borders of the membership funct... View full abstract»

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  • Target volume definition for three-dimensional radiotherapy of cancer patients with a fuzzy rule based system

    Publication Year: 1996, Page(s):1718 - 1725 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1000 KB)

    Radiotherapy is an effective treatment for many cancer patients. The volume to be irradiated, i.e. the target volume, is determined by the radiotherapist who aims, in this process, at including the whole tumor at the same time as saving the surrounding healthy tissues as much as possible. The target volume definition is a difficult step, since the imaging techniques on which this process is based ... View full abstract»

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  • Evaluating guided missile destroyer by catastrophe series based on fuzzy scales

    Publication Year: 1996, Page(s):2188 - 2193 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    We propose a new algorithm for evaluating guided missile destroyer by catastrophe series based on fuzzy scales, which is a multiple criteria decision making approach in a fuzzy environment. We use the triangular fuzzy number to indicate the relative strength of the elements in the hierarchy, and build fuzzy judgement vectors through comparison of the performance scores. We derive the priority amon... View full abstract»

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  • Fuzzy and robust formulations of maximum-likelihood-based Gaussian mixture decomposition

    Publication Year: 1996, Page(s):1899 - 1905 vol.3
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (732 KB)

    We show that maximum-likelihood-based Gaussian mixture decomposition (GMD) can be viewed as a probabilistic clustering algorithm. Furthermore, we formulate a fuzzy version of the GMD algorithm, and present the similarities and differences between the fuzzy C-means (FCM) algorithm and the fuzzy GMD method. In order to provide a good initial point, we propose a new initialization method for the fuzz... View full abstract»

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  • A similarity ordering of fuzzy sets based on a generalisation process

    Publication Year: 1996, Page(s):1825 - 1831 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (500 KB)

    The present work proposes a method for generalising a discrete fuzzy set F, representing a model, given another discrete fuzzy set G representing new evidence. The algorithm proceeds by expressing the fuzzy sets as possibility distributions, and then by extending the focal elements of F with elements from the focal elements of G, constructing a generalised fuzzy set. If the fuzzy model is repetiti... View full abstract»

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  • Towards fuzzy logic standardization

    Publication Year: 1996, Page(s):2091 - 2093 vol.3
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    In 1991, the German Association of Mechanical and Electrical Engineers (VDI/VDE) established the working group UA451, focusing on “Fuzzy Logic and Fuzzy Control”, in its Measurement and Automation Chapter (GMA). The group is made up of a number of European pioneers in fuzzy logic applications, as well as leading fuzzy logic software and hardware suppliers. Its company members include: ... View full abstract»

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  • Fast training of a fuzzy classifier with ellipsoidal regions

    Publication Year: 1996, Page(s):1875 - 1880 vol.3
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB)

    In this paper we discuss a fuzzy classifier with ellipsoidal regions which has a learning capability. First, we divide the training data for each class into several clusters. Then for each cluster we define a fuzzy rule with an ellipsoidal region around a cluster center. Using the training data for each cluster, we calculate the center and the covariance matrix of the ellipsoidal region for the cl... View full abstract»

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  • Refining linear fuzzy rules by reinforcement learning

    Publication Year: 1996, Page(s):1750 - 1756 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    We present an algorithm that refines a set of linear fuzzy rules, which use ellipsoidal radial basis functions in their antecedents and have multiple linear outputs in their consequents (similar to TSK rules), using reinforcement learning. We show how this learning algorithm can be used to refine the performances of controllers for a typical cart-pole balancing system View full abstract»

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  • Dependencies in fuzzy databases: multivalued dependency

    Publication Year: 1996, Page(s):1591 - 1597 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    Multivalued dependencies, which consist of an important class of constraints, are formulated in the same manner as other constraints in fuzzy relational databases. The compatibility degree of a tuple value with a multivalued dependency is a value contained in the interval [0,1]. Whether a tuple satisfies the multivalued dependency is determined by comparing the compatibility degree with the value ... View full abstract»

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  • Fuzzy models for recognition of spoken vowels in Romanian language

    Publication Year: 1996, Page(s):1552 - 1556 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    In the paper we address the problem of vowel recognition in the Romanian language using fuzzy models. The vowels to be recognized are “a”, “e”, “i”, “o”, “u” represented by r dimensional feature-vectors with r=3, 6, 10, uttered in a large variety of contexts (over 800) by five male speakers. The ISODATA and k-NN algorithms in hard and fuz... View full abstract»

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  • Combining fuzzy pattern recognition and fuzzy control in an AI driven neural network

    Publication Year: 1996, Page(s):2071 - 2077 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (500 KB)

    We combined fuzzy pattern recognition and fuzzy control in the testing program of a fuzzy ANN. In pattern recognition for each input vector the network provides a spectrum of “object to a class belongingness” with respect to all classes. A fuzzy controller using some of the components of the same input vector generates a numerical output by simulating an equation. The choice of these c... View full abstract»

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  • Coherence of fuzzy knowledge bases

    Publication Year: 1996, Page(s):1858 - 1864 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    Checking the coherence of a set of rules is an important step in the validation process of a knowledge base. Roughly speaking, a knowledge base is “potentially inconsistent”, what is called “incoherent” here, if there exists a piece of input data which respects integrity constraints and leads to logical inconsistency when added to the knowledge base. This paper is devoted t... View full abstract»

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