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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
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
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
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
The paper is concerned with fuzzy relational model identification. Two methods are proposed to estimate the parameters of such models. The first one is an optimization based methodology which uses sequential procedures of quadratic programming to ref
Autor:
João Moura Pires, Henri Prade
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Fuzzy sets naturally model elastic constraints, the fuzzy constraints satisfaction problem (FCSP) enables the introduction of different kinds of flexibility. Levels of priority can be attached to constraints, and satisfaction levels can be fuzzily th
Publikováno v:
City University of Hong Kong
Filter design of complex nonlinear systems, which can be represented by a fuzzy dynamic model, is addressed in this paper. New filtering design methods are proposed based on quadratic stability theory and linear matrix inequalities (LMI). A number of
Autor:
Frederick E. Petry, M.A. Cobb
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Many spatial data modeling strategies rely upon approximate representations of spatial objects both for computational efficiency issues as well as the simplification of logical modeling strategies. The most widely used approximation is the minimum bo
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
We (1996) have previously presented fuzzy rule generation methods by genetic algorithm (GA). In this paper, we propose three methods to determine rule pairs for crossover in GA for fuzzy rules generation in order to improve the search efficiency and
Publikováno v:
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
Yager and Kelman (1996) suggested to control the choice of the combination operations which are used, in data fusion, on the basis of the existing relationship between the estimates which are to be fused. For instance, we may want to compute the aver