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Autor:
Wei Liu, Qianfeng Cai
Publikováno v:
FUZZ-IEEE
In order to overcome the dimension problem of the traditional fuzzy clustering, we use kernel-based fuzzy c-means clustering (KFCM) to construct first-order TSK fuzzy models. The proposed algorithm is composed of two phases. In the first phase, the a
Autor:
David Galvez, Jose Luis Pino
Publikováno v:
FUZZ-IEEE
This paper presents the natural extension of Buckley-Feuring method proposed in [2] for solving fuzzy partial differential equations (FPDE) in a non-polynomial relation, such as the operator ϕ(D x1 , D x2 ), which maps to the quotient between both p
Publikováno v:
FUZZ-IEEE
There is no direct translation for Kansei into English, however the creator of the Kansei Engineering methodology describes Kansei as ”the consumer's psychological feeling” towards a product. Here we describe an application where a picture presen
Publikováno v:
FUZZ-IEEE
Reconstructing haplotype in MEC (Minimum Error Correction) model is an important clustering problem which focuses on inferring two haplotypes from SNP fragments (Single Nucleotide Polymorphism) containing gaps and errors. Mutated form of human genome
Publikováno v:
FUZZ-IEEE
A fuzzy system with dynamically adapt the inertia weight of the particle swarm optimization (FAPSO) had been implemented to select a specific feasible primer pair for PCR experiments. Overall, fifty accession nucleotide sequences between 1900 bps and
Autor:
Jorma K. Mattila, Pasi Luukka
Publikováno v:
FUZZ-IEEE
A general fuzzy linear system is investigated using fuzzy numbers and Gauss-Seidel iteration formula. We have used our fuzzy linear system to solve Leontief input-output model with fuzzy entries. When solving Leontief input-output model we are usuall
Autor:
Jorge Casillas
Publikováno v:
FUZZ-IEEE
A new algorithm for tuning fuzzy partitions with a high interpretability degree is proposed. The set of input variables, the number of linguistic terms per variable, and the type (triangular or trapezoidal) and parameters of the membership functions
Autor:
Ruiyun Qi, Xuelian Yao
Publikováno v:
FUZZ-IEEE
This paper presents a nonlinear identification and indirect control algorithm based on a self-structuring fuzzy system (SFS) with guaranteed stability. The overall controller consists of two parts: the indirect adaptive controller based on the self-s
Publikováno v:
FUZZ-IEEE
A significant feature of fuzzy signatures is its applicability for complex and sparse data. To create Polymorphic Fuzzy Signatures (PFS) for sparse data, sparse input sub-spaces (ISSs) should be considered. Finding the optimal ISSs manually is not a
Autor:
Farhang Sahba, Hamid R. Tizhoosh
Publikováno v:
FUZZ-IEEE
Opposition-based computing is the paradigm for incorporating entities along with their opposites within the search, optimization and learning mechanisms. In this work, we introduce the notion of “opposite fuzzy sets” in order to use the entropy d