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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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  • 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
  • A fuzzy mathematical approach for measuring multi-facet consumer involvement

    Publication Year: 1996, Page(s):515 - 520
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    We propose a novel version on the study of consumer involvement. Mathematical definitions for the consumer involvement and the degree of consumer involvement is created to replace the traditional semantic definitions so that a single synthetic index ranged in [0,1] can be manipulated to measure the degree of multi facet consumer involvement, which is objective and obvious 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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  • Fuzzy resource allocations in project management when insufficient resources are considered

    Publication Year: 1996, Page(s):290 - 295
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    This study proposes a fuzzy resource allocation model for project management in which a fuzzy relation on resource needs and a budget limit are described. The model can be solved in the form of crisp linear programming (LP) with α-cut. Despite the delivery routes of the teams, the results can express whether the project has sufficient or insufficient resources resulting from each activity View full abstract»

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  • Models for first order rough logic applications to data mining

    Publication Year: 1996, Page(s):152 - 157
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    Pawlak's rough set theory has inspired many logical investigations. In their joint paper, T.Y. Lin and Q. Liu have introduced first order rough logic based on their axiomatic characterization of rough sets. In this paper, rough model are fine tuned. Two rough models an defined. Based on new rough models, completeness of rough logic system is indicated for each respective model. Pawlak information ... View full abstract»

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  • Control of nonlinear systems using a Fuzzy Neural Network

    Publication Year: 1996, Page(s):49 - 54
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown View full abstract»

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  • A distributed approach to fuzzy clustering by genetic algorithms

    Publication Year: 1996, Page(s):350 - 357
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    Fuzzy clustering (c-means) is a widely known unsupervised clustering algorithm, but it can not guarantee to find the global minimum, because it approximates the minimum of an objective function by the iterative method in solving the differentiation problem, starting from a given point. For overcoming this drawback, we incorporate the genetic search strategies in the fuzzy clustering algorithm to e... 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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  • 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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  • Fuzzy multisets

    Publication Year: 1996, Page(s):429 - 434
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    We propose a design based on extending the notion of a fuzzy set to a fuzzy multiset. As the concept of fuzzy set is itself a generalization of a standard set notion, any further generalization should be carefully motivated. We concentrate on two reasons, the first one being the continuity of the fuzzy arithmetic, the other a virtual necessity for the otherwise elaborate structures in approximatin... 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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  • Neural networks modeling of temperature field distribution in hyperthermia

    Publication Year: 1996, Page(s):573 - 578
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB)

    Hyperthermia is known to be a method of killing tumor cells by heating. An ultrasound transducer is often used as the heating device. In order to kill the tumor cells and not injure the normal tissue, the temperature distribution generated by the ultrasound must be predetermined. For a multi-element ultrasound transducer, the phase and the amplitude of the input signal for each element can be tune... View full abstract»

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  • Massively parallel optical fuzzy-neuro-chaos system for processing information depicted by pictures

    Publication Year: 1996, Page(s):459 - 464
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    A new optical system capable of understanding the meaning of a picture is proposed. The picture transforms and conveys instantaneously the information of the painter's imagery to viewers. This system can be formed using massively parallel optical fuzzy-neural networks that can recognize geometric patterns on the basis of incoherent optics. When the system applies the output to the input and the re... View full abstract»

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  • Extraction of diagnostic knowledge from clinical databases based on rough set theory

    Publication Year: 1996, Page(s):145 - 151
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    A rule-induction system, called PRIMEROSE3 (probabilistic rule induction method based on rough sets version 3.0), is introduced. This program first analyzes the statistical characteristics of attribute-value pairs from training samples, then determines what kind of diagnosing model can be applied to the training samples. Then, it extracts not only classification rules for differential diagnosis, b... 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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  • 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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  • 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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  • Fuzzy processing on GPS data to improve the position accuracy

    Publication Year: 1996, Page(s):557 - 562
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    A new application of fuzzy set theory to the problem of GPS positioning accuracy improvement is presented. We employed fuzzy processing on the C/A code stand-alone receiver and the DGPS receiver. The membership functions for the processing are determined by position dilution of precision (PDOP), signal-to-noise ratio (SNR) and the reliable factor of fixed position. We can select more accurate posi... View full abstract»

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  • GENIE: a general neurofuzzy inference environment

    Publication Year: 1996, Page(s):242 - 247
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    As the application domain of neuro-fuzzy inferencing systems becomes broader, users will find increasing difficulty in selecting the right models for their specific application. This paper describes the design and implementation of a general neuro-fuzzy inference environment (GENIE). Its purpose is to facilitate the assessment of new learning strategies and control models. GENIE includes a number ... View full abstract»

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  • Stratification structures on a kind of completely distributive lattices and their applications in theory of topological molecular lattices

    Publication Year: 1996, Page(s):484 - 489
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    The authors introduce the concept of stratification structures on completely distributive lattices by direct product decompositions of completely distributive lattices, and prove that there is, up to isomorphism, a unique stratification structure on any normal completely distributive lattice. They then give the concept of stratified completely distributive lattices and prove that the category of s... 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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  • Fuzzy logic control of dynamic anaerobic/aerobic activated sludge system

    Publication Year: 1996, Page(s):382 - 387
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    An anaerobic/aerobic activated sludge system under dynamic loading is difficult to automatically control due to its ill-defined non-linear, and complex behavior. This study demonstrates the merits of a real-time fuzzy logic controller for such control purposes by comparing it with a conventional proportional (F/M)an controller. Using the conventional system alongside our proposed system... View full abstract»

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  • On reducing information systems by accuracy measures in rough sets

    Publication Year: 1996, Page(s):139 - 144
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    In this paper, we discuss on reducing information systems from some aspects. Assuming that some classes are more important than the other in medical diagnosis, all the classes are divided into two groups by considering importance grades of classes. In reducing attributes, the accuracy measures of the important group should not be reduced, while those of the other group can be slightly reduced. Fur... View full abstract»

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  • A new approach to fuzzy logic inference based on spatial relationship of fuzzy subsets

    Publication Year: 1996, Page(s):539 - 544
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    An inference method which matches the intuition of human reasoning is proposed. For each fuzzy rule “If x is A˜ then y is B˜”, the proposed inference method produces an output fuzzy subset B˜' according to the spatial relationship of input fuzzy subset A˜' and the antecedent A˜. The membership function of the output fuzzy subset B˜' is of the same sh... View full abstract»

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