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Publikováno v:
FUZZ-IEEE
In this paper, we address the issue of type reduction of multi-dimensional interval type-2 (IT2) fuzzy sets (FSs). We utilize the Karnik-Mendel (KM) algorithm to estimate the centroid boundary of a multi-dimensional footprint of uncertainty (FOU). We
Autor:
Ewa Daniszewska
Publikováno v:
2017 Baltic Geodetic Congress (BGC Geomatics).
The paper focuses on techniques and the motivation for incorporating one's knowledge and experience derived from the field of engineering into geotechnical calculations by applying the fuzzy set theory and fuzzy logic in order to achieve representati
Autor:
Bart Kosko
Publikováno v:
IJCNN
A generalized probability mixture density governs all additive fuzzy systems. These systems sum fired if-then rules to compute an output. Their mixture structure leads to new Bayes theorems and new ways to combine or fuse fuzzy systems. Additive fuzz
Autor:
E. S. Volkova, V. B. Gisin
Publikováno v:
2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
The internal rate of return of a fuzzy cash flow can be naturally presented as a solution of an algebraic equation with fuzzy coefficients. In this paper we construct fuzzy rate of return using the extension principle. We give an analog of the Norstr
Autor:
Moslem Javanmard, H. Mishmast Nehi
Publikováno v:
2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
In many real life problems, system parameters or model coefficients may be considered as interval type-2 fuzzy numbers (IT2FNs). In recent decades, intensive research efforts have focused on solving interval type-2 fuzzy linear programming (IT2FLP) p
Autor:
H. Mishmast Nehi, Moslem Javanmard
Publikováno v:
2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
In recent years, many researchers in the field of fuzzy mathematics and operations research in the world are interested to solve the interval type-2 fuzzy linear programming (IT2FLP) problems. In IT2FLP problems all parameters, including coefficients
Autor:
Petr Husek
Publikováno v:
ISIC
Recursive least squares algorithms for approximation of a multivariate nonlinear function by a fuzzy system guaranteeing monotonicity of the corresponding mapping with respect to individual inputs are presented in this paper. Since the exact solution
Publikováno v:
FUZZ-IEEE
This paper presents some definitions about Quasi Type-2 fuzzy Markov chains and their time-limit properties. Ergodicity, stability, and other properties are defined over triangular and trapezoidal secondary membership functions in order to provide a
Publikováno v:
FUZZ-IEEE
In real world optimization problems there are often multiple objectives to consider. However with regular multiobjective genetic algorithms the more objectives there are the more of a problem this becomes for the Pareto front. This is why solutions f
Autor:
László T. Kóczy, István Á. Harmati
Publikováno v:
FUZZ-IEEE
When the exact mathematical model is not known or too difficult to handle, fuzzy signatures are useful tools in modeling and analysis of complex systems. In these cases the input values naturally have uncertainties, due to lack of knowledge or human