The theory instrument of grey relational analysis is grey relational grade between the sequences. The grey relational grade is a measure of the degree of association between two factors, or between two systems. It describes the relative changes among the various factors in the development process of the system. In turn, we can calculate the grey relational grade, compare and judge the grey rela...

An n-tuple π (not necessarily monotone) is graphic if there is a simple graph G with vertex set {v1, . . . , vn} in which the degree of vi is the ith entry of π. Graphic n-tuples (d (1) 1 , . . . , d (1) n ) and (d (2) 1 , . . . , d (2) n ) pack if there are edge-disjoint n-vertex graphs G1 and G2 such that dG1(vi) = d (1) i and dG2(vi) = d (2) i for all i. We prove that graphic n-tuples π1 and...

Data uncertainty is an intrinsic property in different applications such as sensor network monitoring, object recognition, location-based services (LBS), and moving object tracking. The data mining methods are applied to the above mentionedapplications their uncertainty has to be handled to achieve the accurate query results. The several probabilistic algorithm estimates the location and contro...

We propose a hybrid forecast model based on discrete grey-fuzzy Markov and grey –neural network model and show that our hybrid model can improve much more the performance of forecast than traditional grey-Markov model and neural network models. Our simulation results are shown that our hybrid forecast method with the combinational weight based on optimal grey relation degree method is better th...

We propose a hybrid forecast based on extended discrete grey Markov and variable dimension Kalman model and show that our hybrid model can improve much more the performance of forecast than traditional grey Markov and Kalman models. Our simulation results are given to demonstrate that our hybrid forecast method combined with degree of grey incidence are better than grey Markov and ARFIMA model ...

This paper discusses the application of grey numbers for uncertainty representation. It highlights the difference between grey sets and interval-valued fuzzy sets, and investigates the degree of greyness for grey sets. It facilitates the representation of uncertainty not only for elements of a set, but also the set itself as a whole. Our results show that a grey set could be specified for inter...

Abstract: For improving the performance of the optimal assignment problem of data correlation of multi-passivesensor system, an improved optimal assignment algorithm based on multi-source information fusion is put forward. The new algorithm takes advantage of the optimal solution and a certain number of near-optimal solutions of the traditional optimal assignment problem to construct a set of e...

The unique resources and environmental advantages of renewable energy make it an essential component strategies a meaningful way to achieve “carbon neutrality”. However, due limitations relating ecological factors geographical locations, power generation faces many problems, including instability, resulting in unsustainable development. Few studies have been conducted on the sustainability ener...

This paper presents a novel warning decision model for uncertain network public sentiment emergency of which index assessments are provided as uncertain values. First, a weighted grey relational formula is proposed to compute the comprehensive grey relational degree between the unknown network public sentiment emergency and each original emergency case. According to the evaluated grey relation ...