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Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Date 19-22 June 1996

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Displaying Results 1 - 25 of 114
  • Proceedings of North American Fuzzy Information Processing

    Publication Year: 1996
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    Freely Available from IEEE
  • Author index

    Publication Year: 1996
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    Freely Available from IEEE
  • An improved fuzzy modeling algorithm. II. System identification

    Publication Year: 1996, Page(s):294 - 298
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    For pt.I see ibid. In this part we focus on the fuzzy system identification stage. The Fuzzy C-Means (FCM) clustering algorithm is investigated. Two indices are introduced for assignment of number of rules and level of “fuzziness”. An efficient method is also suggested for choosing the initial location of cluster centers. The classification problem is addressed in fuzzy modeling; and a... View full abstract»

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  • An improved fuzzy modeling algorithm. I. Inference mechanism

    Publication Year: 1996, Page(s):289 - 293
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    We attempt to improve the objectivity of fuzzy modeling and control by introducing a general and unified parameterized formulation to the reasoning process. As a result, we are no longer restricted to a few reasoning formulations. The reasoning parameters can then be optimized based on input-output data obtained from the system View full abstract»

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  • An FPGA implementation of a self-tuned fuzzy controller

    Publication Year: 1996, Page(s):285 - 288
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB)

    This paper presents a field programmable gate array (FPGA) implementation of a self-tuned fuzzy controller which integrates a previous FPGA controller design (see K.-W. Li, et al., “An FPGA implementation of a fuzzy controller based on the product-sum inference method,” Proc. 2nd Joint Conf. on Information Sciences, Wrightsville Beach, N. C., USA, p. 80-3, Sept. 1995) with a self-tunin... View full abstract»

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  • Embedding lattices of fuzzy subgroups into lattices of crisp subgroups

    Publication Year: 1996, Page(s):184 - 186
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    Each lattice of fuzzy subgroups is shown to be isomorphic with a lattice of crisp subgroups. This allows an immediate reformulation of the results on lattices of crisp subgroups into results on lattices of fuzzy subgroups View full abstract»

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  • Complex quantified statements in database flexible querying

    Publication Year: 1996, Page(s):277 - 281
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    In the context of regular databases, fuzzy quantified statements of the type “Q X are A” have been widely studied. The main objective of this paper is to investigate the meaning of a more complex family of quantified statements of the type “Q B X are A”. Our approach is based on some behavioral properties of these statements and it is compared to preview propositions sugges... View full abstract»

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  • Fuzzy control in telecommunications

    Publication Year: 1996, Page(s):444 - 448
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Fuzzy logic is an excellent heuristic method to aid in coming to grips with the complexity problem in communication and computer networks. Four examples show the use of fuzzy logic in routing. (1) We show the use of explicitly available information in the form of routing tables. (2) We show the use of implicitly available information in the form of experience and heuristic knowledge in distributed... View full abstract»

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  • One-day ahead electric load forecasting with hybrid fuzzy-neural networks

    Publication Year: 1996, Page(s):160 - 163
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    Short-term electrical load forecasting is essential to maintain economic operation of electric power systems. Although several techniques have surfaced in the field of load forecasting, efforts are still being made to develop a model that can achieve a reliable forecast with accurate results. This paper describes the development and implementation of a one-day ahead load forecaster based on a hybr... View full abstract»

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  • Integrating fuzzy rules into the fast, robust segmentation of magnetic resonance images

    Publication Year: 1996, Page(s):23 - 27
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Fuzzy clustering algorithms have been used in the automatic segmentation of large multi-dimensional data sets such as 2D magnetic resonance images. Although the clustering algorithms perform well, they are very time consuming. Better performance at a clustering stage is achieved if the data-set can be partially classified before clustering is applied. Further, if the pre-classification is itself f... View full abstract»

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  • On the usage of differential evolution for function optimization

    Publication Year: 1996, Page(s):519 - 523
    Cited by:  Papers (206)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Differential evolution (DE) has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. Besides its good convergence properties and suitability for parallelization, DE's main assets are its conceptual simplicity and ease of use. This paper describes several variants of DE and elaborates on the choice of DE's control parameters, which corresponds to the... View full abstract»

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  • Axioms-based CNFs and DNFs constructed by n-variable-m-dimensional fundamental clauses and phrases

    Publication Year: 1996, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (72 KB)

    In this paper, the relationship between the existing axioms and the corresponding CNF and DNF based on the n-variable-m-dimensional fundamental clauses and phrases is discussed. The AND (OR) map is the general framework of the fuzzy map and the Karnaugh map without losing any primary combined concepts. In addition, the general algorithm to make the n-variable-m-dimensional CNF (DNF) from a DNF (CN... View full abstract»

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  • On robust fuzzy systems

    Publication Year: 1996, Page(s):182 - 183
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    In this paper, we introduce and study the notion of a robust fuzzy system. Our definition is based on topological properties of the automorphism group of the lattice of all fuzzy sets on a given universe. A particular case of a fuzzy system that acts as an aggregation machine is studied in detail View full abstract»

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  • Consistency of models for approximate reasoning and systems of fuzzy relational equations

    Publication Year: 1996, Page(s):583 - 587
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    Necessary and sufficient conditions for validity of the Generalized Modus Ponens scheme of inference are suggested in the general case where t-norm is arbitrary. The special cases of t-norms (min and Lukasiewicz t-norm) are considered separately with examples. The used techniques is based on solving the system of fuzzy relation equations. Thus the obtained results can also be interpreted as necess... View full abstract»

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  • Robust model-based fuzzy observer for an inverted pendulum

    Publication Year: 1996, Page(s):118 - 122
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    This paper is devoted to a new concept for observing the states of nonlinear plants. It is based on ready made fuzzy controllers. The concept is applied to an inverted pendulum system, and excellent simulation results are obtained. The issue of parameter uncertainties is also discussed, and robustness behaviour of the observer is shown View full abstract»

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  • Formal aspects of fuzzy logic-approaches to multiobjective control

    Publication Year: 1996, Page(s):273 - 276
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    We review two fuzzy-logic approaches for the control of systems operating in highly uncertain environments. These systems are characterized by requirements that, going beyond specific control needs, demand the ability to react and overcome unexpected circumstances. In a typical application, the underlying controller must, therefore, seek several explicitly stated objectives while reacting to vario... View full abstract»

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  • Use of fuzzy feature vectors and neural networks for case retrieval in case based systems

    Publication Year: 1996, Page(s):438 - 443
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    Case-based reasoning is a subset of artificial intelligence and expert systems, and is a powerful mechanism for developing systems that can learn from and adapt past experiences to solve current problems. One of the main tasks involved in the design of case-based systems is determining the features that make up a case and finding a way to index these cases in a case-base for efficient and correct ... View full abstract»

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  • Fuzzy logic and fuzzy systems: recent developments and future directions

    Publication Year: 1996, Page(s):155 - 159
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    Over the last decade or so, several parallel advances have been made in the two distinct disciplines: fuzzy logic and neural networks. As the names imply, the theory of fuzzy logic provides a mathematical framework for the emulation of certain perceptual and linguistic attributes associated with human cognition, whereas the science of neural networks provides new computing morphologies with learni... View full abstract»

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  • Fuzzy logic rules in low and mid level computer vision tasks

    Publication Year: 1996, Page(s):19 - 22
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    Humans have excelled at the complex perceptual tasks involved in visual interpretation. Progress has been consistent but fairly slow in performing vision related problems by computer. In an effort to bring more human-like processing into computer vision activities, rule-based systems have been utilized. The uncertainty and vagueness present in image analysis suggest fuzzy logic is a natural paradi... View full abstract»

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  • The concepts of fuzzy sets and genetic algorithms: contrasts and similarities of expectations and development patterns (or would you rather mutate or go fuzzy?)

    Publication Year: 1996, Page(s):515 - 518
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    Fuzzy sets and generic algorithms are two important approaches in the area of soft computing. However, despite some similarities in their research development pattern (such as their reliance on approximate, rather than absolutely precise reasoning, and therefore on solutions to problems which are good but not necessarily optimal), there are nevertheless contrasts which adapts the suitability of ea... View full abstract»

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  • Evolutionary algorithms based multiobjective optimization techniques for intelligent systems design

    Publication Year: 1996, Page(s):360 - 364
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    We present evolutionary algorithm based multiobjective optimization techniques for intelligent systems design. Multiobjective optimization techniques are necessary in situations where the performance of a system is based on multiple, possibly conflicting objectives whose aggregation cannot be easily articulated. The evolutionary algorithms approach presented employs a search mechanism that treats ... View full abstract»

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  • Reinforcement-driven adaptation of control relations

    Publication Year: 1996, Page(s):484 - 488
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    The conceptual framework of a hybrid control system architecture is briefly discussed. It employs neural and fuzzy techniques side-by-side using each one for the task to which it is best suited. Our main interest is with the adaptation of the fuzzy control knowledge. The adaptation algorithm is based on reinforcement signals and directly optimizes the global fuzzy relation representing the complet... View full abstract»

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  • A fuzzy knowledge-based approach to the alternative classification problems

    Publication Year: 1996, Page(s):307 - 311
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    Presents a fuzzy knowledge-based approach to the problem of classifying alternatives in incomplete and imprecise real-world environments. Expert domain knowledge is modelled by a fuzzy conjunctive production rule base. By applying a comparison ratio function, defined in this paper, we propose a new reasoning algorithm to identify the most suitable rule from the pre-defined production rule base and... View full abstract»

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  • Customer satisfaction assessment through a fuzzy neural controller

    Publication Year: 1996, Page(s):195 - 199
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    Customer satisfaction measurement is an important part of marketing research in industrial organizations since it is the key to formulating customer value strategies and to continuously improving implementation of these strategies. We propose a general fuzzy neural network with back propagation learning for control tasks. The controller will measure customer satisfaction level for assessing advanc... View full abstract»

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  • A new computational framework for vague patterns and symbols

    Publication Year: 1996, Page(s):170 - 174
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    This paper presents a new computational framework for vague patterns and symbols. The new framework is used for acquiring concepts and inferring the meanings of such patterns and symbols. A three-layer neural network for implementing the new framework is proposed in this paper. Simulations using similar/different patterns are carried out in order to show the unique features of the proposed network View full abstract»

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