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Autor:
N.N. Karnik, Jerry M. Mendel
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
This paper introduces a robust fuzzy logic system, one that can handle rule uncertainties. We make use of type-2 fuzzy sets for this purpose. The development of a type-2 fuzzy logic system has led to a new operation that we call type-reduction. In th
Autor:
N.B. Karayiannis
Publikováno v:
Nonlinear Biomedical Signal Processing: Fuzzy Logic, Neural Networks, and New Algorithms, Volume 1
Proposes a methodology that reduces the development of soft learning vector quantization (LVQ) and clustering algorithms to the minimization of an admissible reformulation function using gradient descent. The search for admissible reformulation funct
Autor:
Z. Papp
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Presents a nonlinear (fuzzy) control structure enhanced with supervised learning and/or adaption. Availability of at least a partial process model is assumed. A nonlinear process identification procedure is used to complete the partial model. Based o
Autor:
Heidar A. Malki, Ya-Chen Hsu
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
This paper presents a fuzzy variable structure controller for MIMO systems. Motivated by the principle of variable structure control strategy, a systematic design procedure is proposed. The proposed fuzzy controller is constructed to approximate the
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Planners of telecommunications networks frequently are faced with uncertainties about the data values to be utilized. Conventional mathematical models using such data can therefore lead to weak results often dependent upon these uncertainties. An opt
Autor:
R. Soodamani, Z.Q. Liu
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Three techniques of straight line Hough transform are proposed by a generalised mathematical formulation of the Hough transform in terms of aggregation and weight functions. Amongst these techniques, inclusive of the conventional Hough transform, it
Autor:
Christian Borgelt, Rudolf Kruse
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Current research in the domain of inference networks, probabilistic as well as possibilistic, focuses on learning such networks from data. Learning inference networks consists in finding a decomposition of a multivariate probability or possibility di
Autor:
C. Frelicot
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
This paper presents a rejection-based and class-selective possibilistic classifier and its parameters learning. The classifier is defined as a couple of functions (D,T), D being a labelling one and T being a hardening one in a non-exclusive way. The
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Redundancy in multisensor systems can often be exploited to increase sensor accuracy and reliability. This can be done by sensor fusion techniques. Two of the most important fusion methods are the Kalman filter and weighted averaging. Both methods us
Autor:
J.A.B. Tome
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Presents a class of binary neural nets which seem to be similar to the natural neural nets concerning topological and functional issues. It is the medium activity among the neurons in a given neural area which represents the "amplitude" of the associ