The decision-making process on investing in financial markets is a very complex and difficult task, mainly due to the chaotic behavior high uncertainty development of prices investment instruments. For this reason, are increasingly using means artificial intelligence, namely fuzzy logic, which able capture nonlinear behavior.Fuzzy logic provides way draw definitive conclusions from vague, ambig...

Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...

A Three-Way Decision Clustering Approach for High Dimensional Data By: Yu, Hong; Zhang, Haibo Edited by: Flores, V; Gomide, F; Janusz, A; et al. Conference: International Joint Conference on Rough Sets (IJCRS) Location: Univ Chile, Santiago, CHILE Date: OCT 0711, 2016 Sponsor(s): Springer; IRSS; Data Mining Serv Ltd; Complex Engn Syst Inst; ISCI ROUGH SETS, (IJCRS 2016) Book Series: Lecture Not...

In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...