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...

A two-stage logarithmic goal programming (TLGP) method is proposed to generate weights from interval comparison matrices, which can be either consistent or inconsistent. The first stage is devised to minimize the inconsistency of interval comparison matrices and the second stage is developed to generate priorities under the condition of minimal inconsistency. The weights are assumed to be multi...

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...

Web administrators’ prioritization of several upgrading alternatives with respect to multiple contradictory criteria involve fuzziness and impreciseness of human’s subjective judgements in a Web server system. In this paper, fuzzy concepts are used to enhance the traditional Analytic Hierarchy Process (AHP) which are mainly applied in crisps decision environment. The entropy weight proposed by ...