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Fuzzy evaluations applied in analysis of infrastructure development based on national competitiveness perspectives
Abstract:Policy makers often need to determine which key projects should be prioritised for national infrastructure investment. In this light, this research uses the evaluating indicators for infrastructure as found in the World Competitiveness Yearbook and proposes a leading and lagging fuzzy score graphics-based model to achieve the following objectives: a) distinguish the leading and lagging degree of each indicator more accurately; b) assist policy makers to find out the strongest and the (relatively) weakest infrastructure items and c) highlight the key fields of national infrastructure that need improvement. Taiwan is used as a case study to test the viability of the model proposed. We show how this methodology will help policy makers to determine the key issues requiring improvement towards the national infrastructure system.
Keywords:multivariate statistics  fuzzy sets  clustering analysis  infrastructure  national competitiveness  leading and lagging fuzzy score graphics-based model  
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