This paper represents a self‐structured organizing single‐input control system based on differentiable cerebellar model articulation controller (CMAC) for an n‐ link robot manipulator to achieve the high‐precision position tracking. In the proposed scheme, the single‐input CMAC controller is solely used to control the plant, so the input space dimension of CMAC can be simplified a...

Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discrete structures into vectorial spaces, where all the classical pattern recognition and machine learning methods can be applied. The proposed approach is based on eigenanalysis of extended vectorial representations of the...

The non-radial DEA models [1] possess some specific features. First, multiple reference sets may exist for a production unit. Second, multiple supporting hyperplanes may occur on optimal units of the frontier. Third, multiple projections (a projection set) may occur in the space of input and output variables. All these features cause certain difficulties under measurement of returns to scale of...

MCDA in general and multiple objective linear programming (MOLP) in particular can be used for planning future performances. The model structures of DEA and MOLP have much in common and research on integrating DEA and MOLP has attracted increasing attentions to support both past performance assessment and future target setting in integrated manners (Cooper, 2004). For instance, Golany (1988) de...

Constructed the empirical model for the study of the differences of the operational efficiency of furniture enterprises in Guangdong province, evaluated the technical efficiency, pure technical efficiency and scale efficiency of these furniture enterprises with DEA and took pure technical efficiency and scale efficiency as variables for cluster analysis. According to the results, we divided fur...

Abstract In this paper, we propose a bounded DEA based model to measure the overall risk of failure modes. In the proposed model risk is measured within the range of an interval, whose performance is definitely superior to any one. The risks, obtained from bounded DEA models, turn out to be all intervals and are referred to as interval risk, which combine the best and the worst relative risk in...

The developmental histories of 32 players in the Australian Football League (AFL), independently classified as either expert or less skilled in their perceptual and decision-making skills, were collected through a structured interview process and their year-on-year involvement in structured and deliberate play activities retrospectively determined. Despite being drawn from the same elite level ...

Based on the R&D activities of Shanghai’s high-tech industries during 2010 to 2012, this paper uses super efficiency DEA model to analyze and evaluate the R&D efficiency of Shanghai’s hightech industries. The results show that the R&D efficiency of Shanghai’s high-tech industries has dissimilitude. The R&D efficiency values of some high-tech industries are relatively low. There are many redunda...

Nowadays, technological progress is one of the most important components of economic growth and the efficiency of R&D activities is particularly essential for countries. This study is an attempt to analyze the R&D efficiencies of EU countries. The indicators related to R&D efficiencies should be determined in advance in order to use DEA. For this reason a list of input and output indicators are...