... Mining **systems** towards a new functional paradigm that allows at working with Big ...on **fuzzy** **systems** stand out for many ...of **systems**, their migration to the Big Data environment in the ...

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... The overall objective of the research was to extract the human expert knowledge and be able to implement it in a programming block that made the human task with the lowest possible error. In this article the objective ...

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... 1. R. Babuka, P.J. van der Veen, and U. Kaymak. Improved covariance estimation for gustafson-kessel clustering. In **Fuzzy** **Systems**, 2002. FUZZ-IEEE’02. Proceedings of the 2002 IEEE International Conference ...

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... and **fuzzy** **systems** have been recently applied for surface roughness ...n-rule **fuzzy** models by a parametric search on the experimental data. The **fuzzy** model with the least number of rules with ...

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... McCormick, Simultaneous design of membership functions and rule sets for fuzzy controller using genetic algorithms, IEEE Transactions on Fuzzy Systems 3 (2) (1995) 129-139. Barro, Desi[r] ...

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... genetic **fuzzy** **systems** [2], the incorporation of previous knowledge (knowledge insertion) consists in the definition of **fuzzy** sets for the input variables and **fuzzy** ...for **fuzzy** ...

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... of **fuzzy** preference modelling is the con- struction of a **fuzzy** strict preference relation and a **fuzzy** indifference relation from a **fuzzy** weak preference ...of **fuzzy** weak prefer- ence ...

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... scribed by fuzzy numbers. The method is based on the distance of a fuzzy number. to a constant, where the generalization of the left and right fuzzy numbers, GLRFN,[r] ...

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... Se propone sustituir el control mecánico de las planchas por un control electrónico basado en lógica difusa, que mantenga dentro de un rango más estable la temperatura y que tome en cuen[r] ...

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... At the beginning when artiﬁcial intelligence ﬁeld begun, the design of intelligent controllers based their solutions on actual human behavior [2] and many techniques were developed to handle this situation like neural ...

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... Trimming has a long history as a simple way to provide robustness to statistical procedures. Its application in clustering needs to be done by taking into account the possibility of discarding “bridge points”. A sensible ...

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... Other rule-based control approaches use non-**fuzzy** rules, that is, expert **systems**. However, those expert **systems** are used normally at supervisory level or are ad-hoc to specific problems. An expert ...

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... controlador **fuzzy** MIMO puede ser complicado por las implicancias que tiene relacionar todas las variables de entrada y de salida ...controlador **fuzzy** SISO propuesto resulta bastante simple y requiere un ...

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... Abstract—In this work, the domain of attraction of the origin of a nonlinear system is estimated in closed-form via level sets with polynomial boundary, iteratively computed. In particular, the domain of attraction is ...

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... On underlying **fuzzy** framework is that of the L -**fuzzy** sets, where L = (L, ∨, ∧, ⊤, ⊥, ⊗, →) is a residuated lattice. A L -**fuzzy** set X is a mapping from the universe set, say A, to the lattice L, i.e. ...

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... of **fuzzy** rules, a data base that defines the membership functions of the **fuzzy** sets used in **fuzzy** rules, the **fuzzy** inference engine, the fuzzifier and defuzzifier ...a **fuzzy** basis ...

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... Training a **fuzzy** rule base requires a pattern algorithm to be learned by a **fuzzy** rule base. Such a pattern algorithm is used as trainer on the rule base. The trainer is a virtual control algorithm, which ...

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... 2007, "The design of the hydraulic model tests control system based on fuzzy self-adaptive PID algorithm", Proceedings of the International Conference on Intelligent Systems and Knowledg[r] ...

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... The **fuzzy** variables have been modeled through triangular symmetrical **fuzzy** partitions, considering 7 labels for each linguistic variable. We have fixed the minimum support as 5% of the instances of the ...

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... Chen, A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers, Expert Systems with Ap. plications, 36, 589-598, (2009)[r] ...

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