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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

11-14 Dec. 1996

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Displaying Results 1 - 25 of 99
  • Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

    Publication Year: 1996
    Request permission for commercial reuse | PDF file iconPDF (373 KB)
    Freely Available from IEEE
  • Authors index

    Publication Year: 1996, Page(s):579 - 581
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    Freely Available from IEEE
  • Fuzzy resolution on the infeasibility of user equilibrium in traffic assignment problem

    Publication Year: 1996, Page(s):103 - 108
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB)

    The user equilibrium in traffic assignment problem is to choose the minimum cost path between every origin-destination pair. In this study, we consider the infeasible user equilibrium in traffic assignment problem. That is, there does not exist any solution of the problem. We are interested in the minimum degree of relaxation needed so that the problem can exist with at least one solution. Therefo... View full abstract»

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  • Application of fuzzy multiple attribute decision making on company analysis for stock selection

    Publication Year: 1996, Page(s):509 - 514
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    The investor has to consider many factors when making a decision on which stocks to buy. However, judgements on these factors are usually linguistic, fuzzy, and conflicting. Therefore, selection of stocks is a fuzzy multiple attribute decision making (FMADM) problems. A hierarchical composite structure for factors and subfactors is developed for company analysis. A weight model is presented. Value... View full abstract»

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  • Adaptive aggregation of modular control

    Publication Year: 1996, Page(s):506 - 508
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB)

    Modular methodologies are popular in various control designs. We propose a performance-based adaptive aggregation for modular controllers. Conventional modular control techniques, like decentralized control, singular perturbation and hierarchical decomposition, use non-adaptive aggregation and are only applicable to a restricted class of nonlinear systems. It is demonstrated in this paper that ada... View full abstract»

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  • Factor selections for a system development process

    Publication Year: 1996, Page(s):97 - 102
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    A method of investigating influential factors is proposed for a system development process. According to different phases of development, multiobjective programming (MOP) models are developed from fuzzy set theory, evidence theory and probability theory. Based on the proposed MOP models, an integrated solution algorithm is designed to aid researchers to acquire complete influential factors of a sy... View full abstract»

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  • Integration of fuzzy classifiers with decision trees

    Publication Year: 1996, Page(s):266 - 271
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB)

    It is often difficult to make accurate predictions, given uncertain and noisy data for classification. Unfortunately, most real-world problems have to deal with such imperfect data. This paper presents a new model for fuzzy classification by integrating fuzzy classifiers with decision trees. In this approach, a fuzzy classification tree is constructed from the training data set. Instead of definin... View full abstract»

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  • Generating fuzzy rule-based systems from examples

    Publication Year: 1996, Page(s):37 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (420 KB)

    This paper proposes a general methodology to generate fuzzy rule-based systems automatically from examples. The objective of this work is to generate fuzzy systems with good mapping ability and generalization ability as well. This methodology consists of five steps. Inductive learning is incorporated to enhance fuzzy system's generalization ability. Experiments are conducted to evaluate the system... View full abstract»

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  • Noise immunization of a neural fuzzy intelligent recognition system by the use of feature and rule extraction technique

    Publication Year: 1996, Page(s):73 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    The performance of a neural fuzzy intelligent recognition system (NFIRS) which recognizes varied levels of noise corrupted characters was investigated. The number of regions in the universe of discourse of the input space was first arbitrarily selected. Then, the centers of these regions were self organized by feeding the system with a 256-pixel alphabet and algebraic training samples to the Kohon... View full abstract»

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  • Representing a generalizations distribution table by connectionist networks for evolutionary rule discovery

    Publication Year: 1996, Page(s):338 - 343
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB)

    This paper introduces a new approach for rule discovery from databases, in which a variation of transition matrix named generalizations distribution table (GDT) is used as a hypothesis search space for generalization. Furthermore, by representing the GDT as connectionist networks, if-then rules can be discovered in an evolutionary, parallel-distributed cooperative mode. The key features of this ap... View full abstract»

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  • A bi-tree multi-stage inference fuzzy control system

    Publication Year: 1996, Page(s):55 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    This paper presents a methodology for the design of a binary tree multi-stage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for bi-tree multi-stage inference. This proposed method can be used to reduce t... View full abstract»

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  • Update operations considering possible values in fuzzy databases

    Publication Year: 1996, Page(s):260 - 265
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    When possible values are considered in update operations, unacceptable possible values are created. There are three kinds of unacceptable possible values. The unacceptable possible values can be eliminated from relations without loss of information. By considering this point, update operations can be executed without paying attention to unacceptable possible values View full abstract»

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  • Unexpected non-linearity of fuzzy reasoning output amplified by multi-input

    Publication Year: 1996, Page(s):441 - 446
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB)

    The unexpected non-linearity of fuzzy reasoning output exists in the case of MIN operation adoption in order to calculate the antecedent matching degree. The unexpected non-linearity becomes more critical as the number of inputs increase. This paper discusses and evaluates this using a symmetrical section method which graphically shows the symmetrical cutting-line of the phase plane as a result of... View full abstract»

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  • Temperature control with a neural fuzzy inference network

    Publication Year: 1996, Page(s):91 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    We propose a neural fuzzy inference network (NFIN) suitable for adaptive temperature control of a water bath system. The rules in the NFIN are created and adapted as online learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system. The performance of the NFIN is compared to that of the PID controller an... View full abstract»

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  • Fuzzy dialog analysis in reciprocal learning

    Publication Year: 1996, Page(s):30 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    The dialog behavior between two learning companions in RTS (Reciprocal Tutoring System) is analyzed through fuzzy set theory. RTS is a collaborative learning system with two learning companions playing two roles: tutor and tutee. By communication, these two learners share their ideas and solve programming exercises cooperatively. Each linguistic sentence of their talks belongs to a fuzzy set that ... View full abstract»

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  • Fuzzy control for the anti-lock brake system

    Publication Year: 1996, Page(s):67 - 72
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    In this paper, we develop the fuzzy controller for an ABS (anti-lock braking system). The system models of the ABS and the fuzzy controller structure are discussed. Computer simulations are given to understand the effect of some important parameters View full abstract»

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  • Supporting rough set theory in very large databases using oracle RDBMS

    Publication Year: 1996, Page(s):332 - 337
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    Earlier a “new” rough set theory for very large databases was proposed by T.Y. Lin (1996). In this paper the authors attempt to evaluate the performance of such a rough set theory for a very large database. ORACLE, a relational database management system (RDBMS), is the market leader in open system databases. Windows NT has been growing into the data server environment and is a strong ... View full abstract»

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  • The interval topology on T1-lattices

    Publication Year: 1996, Page(s):502 - 505
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    The main purpose of the paper is to study under which conditions the interval topology on a T1-lattice may be Hausdorff. The authors show that for a T1-lattice L, the interval topology on L cannot be Hausdorff except in the extreme case that L is isomorphic to the power set of some set X. Similarly, for a T1-space (X, ∂(X)), the interval topology on ∂(X) ... View full abstract»

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  • Configuring an improved backpropagation network for forecasting study of interest rate in traditional money market and derivative commodity market

    Publication Year: 1996, Page(s):521 - 526
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB)

    By good management of the interacting characteristics of micro and meso structures for optimizing performance of feedforward networks, the application of a neural network to pattern recognition of monetary tools, bond rating, stock price forecasting and loan examination has successfully been done. The study focuses on the prediction of future trends of the 90 to 180 day commercial paper interest r... View full abstract»

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  • A new encoding method of genetic algorithms towards parameter identification of fuzzy expert systems

    Publication Year: 1996, Page(s):406 - 411
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    The membership functions of fuzzy expert systems need a systematic, self-learning method instead of a subjective tuning method in order to increase the performance of the fuzzy model. The genetic-algorithm learning method is consequently employed. The rule-based encoding scheme would bring the redundant information for the genetic algorithm by repeatedly representing the similar membership functio... View full abstract»

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  • An identification algorithm in fuzzy relational systems

    Publication Year: 1996, Page(s):254 - 259
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB)

    A Δ¯-composition (i.e. ∀˙-A&udot;-composition) is generated from Mizumoto's (1983) Δ-composition, and an algorithm using Mandani's fuzzy implication (R) is proposed to describe the system operation. Computer simulation is performed on Box and Jenkin's (1970) gas furnace data. The identified fuzzy model is compared with Zadeh's max-min algorithm View full abstract»

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  • Fuzzy logic and data mining

    Publication Year: 1996, Page(s):133 - 138
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    There are many activities of both technology and its application in data mining and knowledge discovery in database area. In this paper, actual applications of data mining are presented from its development point of view, and a generalized conceptual model of data mining is proposed. Additionally, to make the data mining process more applicable, important notes at the performing process against re... View full abstract»

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  • Chaotic behaviors in fuzzy dynamic systems: “fuzzy cubic map”

    Publication Year: 1996, Page(s):314 - 319
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    The objective of this paper is to demonstrate how fuzzy dynamic systems can show chaotic phenomena and chaotic dynamics similar to those found in a class of nonlinear systems. We found that the fuzzy chaotic dynamic model of a cubic map results in the same bifurcation diagrams, and that it shows stable equilibrium points, period-doubling and chaotic attractors View full abstract»

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  • SIRM's connected fuzzy inference model and its applications to first-order lag systems and second-order lag systems

    Publication Year: 1996, Page(s):545 - 550
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    SIRMs (Single Input Rule Modules) Connected Fuzzy inference Model is proposed for multiple input fuzzy control. In the model, the importance degree is defined first and single input fuzzy rule module is constructed for each input item. The model output is obtained by summarizing the production of the importance degree and the fuzzy inference result of each module. The proposed model needs both ver... View full abstract»

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  • Stabilization of nonholonomic mobile robots by a GA-based fuzzy sliding mode control

    Publication Year: 1996, Page(s):388 - 393
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    In this study, fuzzy logic control principle and sliding mode control theory are combined to stabilize a mobile robot under nonholonomic kinematic constraints. In order to improve the tracking performance, the scaling factors of FLC are searched by genetic algorithms (GAs). The simulation results show that all three control approaches, SMC (sliding mode control), FSMC (fuzzy-SMC) and GA-FSMC (GA-b... View full abstract»

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