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Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Date 10-12 June 1999

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Displaying Results 1 - 25 of 191
  • 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

    Publication Year: 1999
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    Freely Available from IEEE
  • Author index

    Publication Year: 1999, Page(s):923 - 925
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    Freely Available from IEEE
  • Fuzzy control structures in multiple parameter systems: an application in handwritten address interpretation systems

    Publication Year: 1999, Page(s):918 - 922
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    Most practical software systems are a conglomerate of many modules, where each module has its own parameters that control the accuracy of the module. While each individual module can be optimized by tuning the relevant parameters, it is a non-trivial task to optimize the entire system. When the number of modules and the parameters are few, manual choosing of all parameters is possible by a “... View full abstract»

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  • Fuzzy dynamic programming: theory and applications to decision and control

    Publication Year: 1999, Page(s):18 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    We provide a guided tour of the essential elements of fuzzy dynamic programming. We present both the aspects that are now classic in any discussion of the topic as well as its modern variants including our recently introduced fuzzy criterion dynamic programming. We include the computational aspects a well as various key real world applications. We conclude with a paint brush of the research topics... View full abstract»

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  • Design of a proportional plus derivative neuro fuzzy controller

    Publication Year: 1999, Page(s):874 - 878
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    The transformation of an expert's knowledge to control rules in a fuzzy logic controller has not been formalized and arbitrary choices concerning, for example, the shape of membership functions have to be made. The quality of a fuzzy controller can be drastically affected by the choice of membership functions. Thus, methods for tuning fuzzy logic controllers are needed. Neural networks and fuzzy l... View full abstract»

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  • Choice of experiments and analysis of approximation accuracy in a Tagaki-Sugeno fuzzy system

    Publication Year: 1999, Page(s):189 - 192
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB)

    We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors View full abstract»

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  • Transparent fuzzy modeling using fuzzy clustering and GAs

    Publication Year: 1999, Page(s):198 - 202
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    A combined approach to data-driven fuzzy rule-based modeling is described. The rules of an initial model are derived from data by means of a supervised clustering method that to a certain degree ensures the transparency of the resulting rule base. This model is, however suboptimal and a real-coded genetic algorithm (GA) is proposed to optimize simultaneously both the antecedent and the consequent ... View full abstract»

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  • Discarnation and interactive variables as conditions for disease

    Publication Year: 1999, Page(s):298 - 303
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Evidence-based medicine is currently founded in probability-based statistics and attempts to extrapolate what is the case for the collective to individual patient diagnosis and treatment. This study uses fuzzy measures to find structure in individual patient data and suggests that interactions, as they exist in nature as variables that are combinatorialy represented in the unique person, are only ... View full abstract»

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  • Typicality based on soft aggregations in crisp object oriented databases

    Publication Year: 1999, Page(s):376 - 380
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    A method to automatically compute typical objects for a crisp object oriented database is proposed, in which typical objects are regarded as representatives of a fuzzy majority of the stored objects. A vector space model is adopted in which the object instances of a class are represented by vectors. The typical object of a class is derived as the “closest” vector to the fuzzy majority ... View full abstract»

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  • An adaptable system to construct fuzzy decision trees

    Publication Year: 1999, Page(s):223 - 227
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Nowadays, data mining is an active domain that is linked to data management and machine learning techniques. However, even if inductive learning methods work well when handling symbolic attributes, problems arise when considering numerical or numerical-symbolic (num/symb) attributes. This problem can be solved by introducing tools from fuzzy set theory to handle such kinds of data. In this paper, ... View full abstract»

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  • Forecasting with fuzzy neural networks: a case study in stock market crash situations

    Publication Year: 1999, Page(s):418 - 420
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    Neural networks have been used for forecasting purposes for some years now. The problem of the black-box approach often arises, i.e., after having trained neural networks to a particular problem, it is almost impossible to analyse them for how they work. Fuzzy neuronal networks allow one to add rules to neural networks. This avoids the black-box-problem. Additionally they are supposed to have a hi... View full abstract»

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  • Fuzzy logic control of industrial heat treatment furnaces

    Publication Year: 1999, Page(s):839 - 843
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    This paper presents the application of fuzzy logic to the control system for industrial heat treatment furnaces. A modified fuzzy decision support system has been developed to control the temperature in an industrial nitriding furnace. The results obtained using the fuzzy logic controller are very good. The system is fully automatic and maintains a very stable temperature control View full abstract»

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  • Envelope of plausibility defined by a new fuzzy implication operator

    Publication Year: 1999, Page(s):749 - 754
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    A new implication operator is proposed, based on fuzzy entailment. Using a kernel and new measures of distance between fuzzy sets, it generates a set of fuzzy conclusions of various degrees of plausibility, rather than a single fuzzy conclusion. This set of plausible conclusions generates an envelope of plausibility, which is also a fuzzy set. The kernel can be chosen to make the envelope assume a... View full abstract»

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  • Fuzzy document retrieval for Portuguese language

    Publication Year: 1999, Page(s):387 - 391
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    This paper reports a model of document retrieval for the Portuguese language, developed from a Miyamoto document-retrieval model. The Miyamoto model is based upon semantic similarity detection of descriptors by co-occurrences. The proposed model may be considered an extension of the Miyamoto model because it considers lexical similarities and expression similarities. Hence, descriptors and queries... View full abstract»

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  • Reducing quantization error and contextual bias problems in software development processes by applying fuzzy logic

    Publication Year: 1999, Page(s):268 - 272
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    Object-oriented methods define a considerable number of rules, which are generally expressed using two-valued logic. For example, an entity in a requirement specification is either accepted or rejected as a class. There are two major problems of how rules are defined and applied in current methods. Firstly, two-valued logic cannot effectively express the approximate and inexact nature of a typical... View full abstract»

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  • Adaptive tool support for database reverse engineering

    Publication Year: 1999, Page(s):278 - 282
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    Today's information technology undergoes dramatic mass changes due to urgent requirements like the Year 2000 problem, the European currency union and emerging technologies like the World Wide Web. Many older industrial database applications do not meet these requirements. Often, such legacy databases (LDB) have evolved over several generations of programmers and lack a sufficient technical documen... View full abstract»

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  • Computing with descriptive and veristic words

    Publication Year: 1999, Page(s):13 - 17
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    Computing with words [Zadeh, 1995] is fundamental to our understanding the foundation of fuzzy theory. Naturally, there are a large variety of “words” that we need to recognize and utilize in our computational paradigms. However, descriptive and veristic words are essential for the fundamental derivation of fuzzy set and logic formulas. Descriptive linguistic terms help us assign an el... View full abstract»

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  • Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification

    Publication Year: 1999, Page(s):690 - 694
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    Although fuzzy numbers (including fuzzy intervals) are often used to capture semantic ambiguity, they are also useful to represent and propagate measurement error. In this application, a classification scheme used by international authorities for assigning biological species into categories of relative endangerment is generalized to accept intervals and triangular or trapezoidal fuzzy numbers as i... View full abstract»

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  • A new tool for analysis and design of robust fuzzy systems

    Publication Year: 1999, Page(s):436 - 437
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (92 KB)

    The paper investigates the synthesis of nonlinear control systems with performance and stability robustness in the presence of parametric uncertainty. The proposed technique searches for a positive definite (p.d.) function that satisfies simultaneously design criteria stemming from the above requirements and recasts the general problem in the form of two NonLinear Matrix inequalities (NLMIs). Usin... View full abstract»

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  • Fault detection for time dependent states using fuzzy regression. Application to the French telephone network management

    Publication Year: 1999, Page(s):238 - 242
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    We study the time dependency of a state. At a given time, a state is represented using a fuzzy set and the shape of a time-dependent state is then a fuzzifying function or a time dependent fuzzy set. We propose to use fuzzy regression in order to compute the characteristics of this kind of state View full abstract»

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  • Algebraic properties of spaces in rough fuzzy set theory

    Publication Year: 1999, Page(s):56 - 59
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    In this paper, we generalize the basic properties of the upper and lower approximation operators of crisp subsets used in rough set theory to fuzzy subsets. We apply our results to T-fuzzy subspaces of a vector space, where T is a t-norm View full abstract»

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  • Combining classification and regression trees and the neuro-fuzzy inference system for environmental data modeling

    Publication Year: 1999, Page(s):695 - 699
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    A procedure is presented for dynamic statistical modeling of predictands with nonlinear predictand-predictor relationships when there are many potential predictors. Classification and regression trees (CART) are used for predictor selection and data stratification. The CART output is suitable for piecewise-continuous predictands. Using predictors selected by CART, a neuro-fuzzy inference system (N... View full abstract»

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  • Real-time nonlinear system regulation via TS fuzzy control

    Publication Year: 1999, Page(s):645 - 649
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    Regulator lineal theory and a Takagi-Sugeno (TS) fuzzy control methodology are used to design a new fuzzy control scheme for nonlinear system regulation. This approach is applied in real time to the level control of two water-storage tanks connected in a cascade manner View full abstract»

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  • A fuzzy model for road accidents analysis

    Publication Year: 1999, Page(s):139 - 143
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB)

    We describe a simple framework for classifying road accidents using a fuzzy algorithm. Moreover, we study the role that the road conditions and environment have on road accidents. We classify accidents according to their causes using a fuzzy algorithm through a computerised procedure and a simplified model. The experimental study can be used as an instrument for identification of road failures or ... View full abstract»

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  • Relaxed fuzzy randomization

    Publication Year: 1999, Page(s):85 - 89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    This paper addresses the role of randomization in the solution of a constraint-satisfaction problem (CSP). It is argued that just as the use of heuristics permit the solution of more complex problems than would otherwise be possible, the relaxation of the optimality constraint carries two attendant benefits. First, among the class of NP-hard problems, relaxation permits the solution of otherwise i... View full abstract»

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