Choosing the most appropriate aircraft type for a given route is one of crucial issues that decision makers at airline companies have to address under uncertainty based on various commercial, marketing and operational criteria. A novel multi-criteria making approach integrating Entropy-based Weighted Aggregated Sum Product Assessment (WASPAS) method interval type-2 hesitant fuzzy sets (IT2HFS) ...

Type-2 fuzzy logic to make up for the lack of a type of fuzzy logic in dealing with uncertainty, object contains uncertainty is strong; the application of type-2 fuzzy logic advantage is more obvious. In this paper, type-2s of fuzzy logic for power load time series forecasting, good results were obtained. According to the power load has strong randomness it is difficult to accurately forecast p...

Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function. Recent research shows that embedding T1FLS on an NN or embedding IT2FLS on an NN can be very effective for a wide number of non-linear complex systems, especially when handling imperfect information. In this paper we...

it is firstly proved that the multi-input-single-output (miso) fuzzy systems based on interval-valued $r$- and $s$-implications can approximate any continuous function defined on a compact set to arbitrary accuracy.  a formula to compute the lower upper bounds on the number  of interval-valued fuzzy sets needed to achieve a pre-specified approximation  accuracy for an arbitrary multivariate con...

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...