Abstract
The estimation of the difference between the new competitive advantages of China's export and the world’s trading powers have been the key measurement problems in China-related studies. In this work, a comprehensive evaluation index system for new export competitive advantages is developed, a soft-sensing model for China’s new export competitive advantages based on the fuzzy entropy weight analytic hierarchy process is established, and the soft-sensing values of key indexes are derived. The obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least squares support vector machine, and a soft-sensing model of the key index parameters of the new export competitive advantages of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is established. The soft-sensing results of the new export competitive advantage index of China show that the soft measurement model developed herein is of high precision compared with other models, and the technical and brand competitiveness indicators of export products have more significant contributions to the new competitive advantages of China's export, while the service competitiveness indicator of export products has the least contribution to new competitive advantages of China's export.
Highlights
Since China’s accession to the World Trade Organization, it’s total export volume has increased rapidly, while its status as a major trading country has been further consolidated
The result set of the fuzzy comprehensive evaluation of the key parameter indicators of the new competitive advantages of China’s export: Yi = Bi·WiT = (0.8063, 0.7378, 0.7895, 0.6950), which implies that the soft measurement values of the technical, brand, quality, and product service competitiveness indicators are 0.8063, 0.7378, 0.7895, and 0.6950 respectively
Owing to the fuzzy characteristics of the key index parameters of the new competitive advantages of China’s export, a soft measurement model of the new advantages of export competition based on the fuzzy least squares (FLS)-support vector machines (SVMs) and fuzzy entropy weight analytic hierarchy process is established, respectively, and the combination of these two soft measurement models is constructed, which will provide a theoretical basis for the realization of the combined soft measurement of the key index parameters of the new competitive advantages of China’s export
Summary
Since China’s accession to the World Trade Organization, it’s total export volume has increased rapidly, while its status as a major trading country has been further consolidated.
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