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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

10-12 June 1999

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  • 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
  • On non-contradictory input/output couples in Zadeh's CRI

    Publication Year: 1999, Page(s):28 - 32
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    Deals with the logically unpleasant problem of reaching outputs that are contradictory with the corresponding inputs, using the compositional rule of inference (CRI). This is a situation that is common in some applications; for example, when Mandani's well-known conditional is used. For the goal of presenting some criteria to ensure that non-contradictory outputs are obtained effectively, two defi... View full abstract»

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  • Fuzzy adaptive multi-module approximation network

    Publication Year: 1999, Page(s):615 - 619
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    The paper presents a fuzzy version of the Adaptive Multi-module Approximation Network. New modules are generated when performance of existing modules is inadequate for some training data, and the applicability of a module to each input vector is determined based on the fuzzy membership of that vector in the possibly asymmetric clusters represented by the reference vectors associated with different... View full abstract»

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  • Towards fuzzy default reasoning

    Publication Year: 1999, Page(s):23 - 27
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    Default reasoning and approximate reasoning can both be handled in the framework of possibility theory. This article first restates and contrasts the two approaches. Then a preliminary discussion of the modelling of fuzzy default rules is provided. A fuzzy default rule is a default rule, such as “small birds fly”, or “flights are usually not much delayed”, whose expression ... 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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  • Combinations of evolutionary algorithms and fuzzy systems: a survey

    Publication Year: 1999, Page(s):610 - 614
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    Lot of schemes to combine evolutionary algorithms and fuzzy systems have been reported in the literature in recent years. Evolutionary algorithms have been used to design fuzzy systems and fuzzy systems have been utilized to adapt the evolutionary algorithms. Both sides interact with each other both supportively and collaboratively. We provide a survey with focus on evolutionary algorithms as supp... View full abstract»

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  • Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control

    Publication Year: 1999, Page(s):760 - 765
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    Fuzzy logic control emerged in the mid 1970s as a paradigm for rule based control of dynamic systems, primarily in process type control situations. In the past two decades, and specially in the mid 80s to mid 90s, fuzzy logic control, has been successfully deployed in a broad spectrum of application areas ranging from automatic train operation to flight systems. None the less there remains a great... 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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  • Flex-norms: aggregation of fuzzy arguments

    Publication Year: 1999, Page(s):736 - 739
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB)

    The rules of a fuzzy system work as follows: as the input variable x increases, the result of the application of this rule at first increases, reaches a maximum and then decreases (as a consequence of the triangular, Gaussian, etc. shapes of fuzzy sets). To describe this phenomenon, a new class of norms is introduced: flex-norms, which describe the aggregation of fuzzy sets, where the arguments ar... View full abstract»

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  • System reliability: a case when fuzzy logic enhances probability theory's ability to deal with real-world problems

    Publication Year: 1999, Page(s):81 - 84
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    In his paper “Probability theory needs an infusion of fuzzy logic to enhance its ability to deal with real-world problems”, Zadeh explains how probability theory needs fuzzy logic. We give an example of a real-world problem for which such an infusion is indeed successful: the problem of system reliability View full abstract»

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  • Robust regression based training of ANFIS

    Publication Year: 1999, Page(s):605 - 609
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    The Adaptive Neuro Fuzzy Inference System (ANFIS) is an attractive compromise between the adaptability of a neural network and the interpretability of a fuzzy inference system. Typically, the membership functions of some of the variables can be determined a priori based on domain knowledge. Membership functions of the other variables are adapted using a hybrid learning rule. The hybrid learning ru... View full abstract»

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  • Applying the new implication operator to professional judgement in risk assessment

    Publication Year: 1999, Page(s):755 - 759
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    The article describes a novel implication operator based on fuzzy entailment. Previously, (J. Daams, 1999) the operator was used for inference from a single rule and a single input. The paper describes how the operator would be used in an expert system. The operator is therefore extended to systems with multiple rules; to chained rules; to quantified rules; and to multidimensional input. If the ru... View full abstract»

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  • Strong and weak knowledge granules in context

    Publication Year: 1999, Page(s):327 - 331
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    The article examines the joint effects of the strength of a knowledge granule implemented as a fuzzy if-then rule under a parameterized R-implication, and the parameter of the implication. A novel implication operator, the quadratic R-implication, is found to confer some special advantages 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 t-norms in multi-objective analysis with fuzzy criteria

    Publication Year: 1999, Page(s):732 - 735
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    This paper deals with the generalized quasi-concavity based on triangular norms (t-norms) and applied to membership functions of fuzzy sets in n-dimensional Euclidean space. Necessary and sufficient conditions for this type of generalized quasi-concavity are derived, some examples demonstrating the concepts are presented and a possible application is discussed 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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  • A generalised object-oriented database model with generalised constraints

    Publication Year: 1999, Page(s):381 - 386
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    This paper presents a new formal framework for a generalised object-oriented database model that is able to cope with fuzzy and uncertain information. The generalised model is obtained as a generalisation of a crisp object-oriented database model that is compliant with the ODMG de facto standard and is built upon an algebraic type system and a constraint system View full abstract»

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  • Conditional subjective probability and fuzzy theory

    Publication Year: 1999, Page(s):77 - 80
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    Our aim is to propose an interpretation of fuzzy set theory in terms of conditional events and coherent conditional probabilities. During the past few years, a large number of papers have been devoted to support either the thesis that probability theory is all that is required for reasoning about uncertainty, or the negative view maintaining that probability is inadequate to capture what is usuall... View full abstract»

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  • Efficient segmentation of degraded images by a neuro-fuzzy classifier

    Publication Year: 1999, Page(s):517 - 521
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (440 KB)

    The segmentation of degraded images has always been a difficult problem to solve. Efficient object extraction from noisy images can be achieved by neuro-fuzzy clustering algorithms where noise pixels are identified during the clustering process and assigned low weights to avoid their degradation effect on prototype validity. We present a new approach to noise reduction prior to segmentation by usi... View full abstract»

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  • Risk analysis and evaluation of some diseases. II

    Publication Year: 1999, Page(s):308 - 312
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    For pt.I see ibid., p.304-7 (1999). The information distribution method (IDM) is applied to deal with the small sample problem, which comes from the fuzzy comprehensive evaluation of some diseases. The optimization method is used in choosing the appropriate controlling points and information distribution function; the error of IDM is therefore reduced View full abstract»

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  • Text categorization using the semi-supervised fuzzy c-means algorithm

    Publication Year: 1999, Page(s):561 - 565
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    Text categorization (TC) is the automated assignment of text documents to predefined categories based on document contents. TC has become very important in the information retrieval area, where information needs have tremendously increased with the rapid growth of textual information sources such as the Internet. We compare, for text categorization, two partially supervised (or semi-supervised) cl... View full abstract»

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  • Extracting fuzzy symbolic representation from artificial neural networks

    Publication Year: 1999, Page(s):600 - 604
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    The paper presents FUZZYTREPAN, a pedagogical approach to the problem of extracting comprehensible symbolic knowledge from trained artificial neural networks. This approach extends the previously proposed TREPAN method in two ways: it uses fuzzy representation in its knowledge extraction process (by means of fuzzy decision trees), and it uses additional heuristics in its process of generating arti... View full abstract»

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  • Modelling emotions with multidimensional logic

    Publication Year: 1999, Page(s):42 - 46
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    One of the objectives of artificial intelligence has been the modelling of “human” characteristics, such as emotions, behaviour, conscience, etc., but in such characteristics we might find a certain degree of contradiction. Previous work on modelling emotions and its problems are reviewed. A model for emotions is proposed using multidimensional logic, which handles the degree of contra... View full abstract»

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  • Maximum likelihood binary shift-register synthesis from noisy observations

    Publication Year: 1999, Page(s):100 - 104
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    We consider the problem of estimating the feedback coefficients of a linear feedback shift register based on noisy observations. The problem of determining feedback coefficients in the absence of noise is now classical, Massey's algorithm (1969). In the current approach to the problem of estimation with noisy observations, the coefficients are endowed with a probabilistic model and the problem. Gr... View full abstract»

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