Sentence examples for concept approximation from inspiring English sources

They also studied concept approximation using bisimulation and Pawlak's rough set theory [23, 24].

They also studied concept approximation using bisimulation and the rough set theory of Pawlak [27].

Rough description logics (RDLs) [6, 7, 9 12] introduced a mechanism to model uncertain reasoning by means of concept approximation.

This means that a proper family of granulations can be chosen for a target concept approximation according to user requirements.

In this paper, refining a concept means to apply a lower (restriction of a concept) or an upper (relaxation of a concept) approximation.

Two aspects of this concept – approximation and personalization – are essential to the process of building intelligent systems for human-centric computing.

The semantics of rough (mathcal {ALC}) is given by an interpretation I=(Δ I,· I,R ∼), where Δ I is a domain set, · I is an interpretation function, and R ∼ is an equivalence relation on Δ I, which will be used in concept approximations.

If one uses the concept of approximation, the results for two different resolution combinations are shown in Figures 15(c) and 15 d).

Although null space property (NSP) is a very important concept in approximation theory [28, 29], it provides a necessary and sufficient condition of the existence and uniqueness of the solution to the (l_{1} -minimization (2), so NSP has drawn extensive attention for studying the characterization of measurement matrix in compressed sensing [30].

First, several concepts of approximation will be explored and their application in approximate reasoning will be discussed.

The concept of approximations of mappings was introduced by Thibault [2].