Transformation and Upgrading of Chemical Enterprise under the Environment of Internet and Big Data
Song, Ying
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How to Cite

Song Y., 2017, Transformation and Upgrading of Chemical Enterprise under the Environment of Internet and Big Data , Chemical Engineering Transactions, 62, 1387-1392.
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Abstract

With the development of our country, especially after the reform and opening-up policy, chemical industry is developed rapidly and thus forms a relative integrated chemical industrial system. Chemical industry as a capital and technology intensive industry has attracted much attention. However, economic crisis in 2008 leads to the decrease of performance of chemical industry. In order to copy with this problem, transformation and upgrading of chemical enterprise is necessary. After analysing the existing studies of transformation and upgrading of Chinese enterprises, we find the first and an important step is to evaluate the efficient of transformation and upgrading of the enterprise. Thus, in this paper, a set called interval-valued intuitionistic fuzzy set is introduced and thus used toconstruct a decision matrix to express the assessments provided by the decision maker. Then, attribtue weights are obtained by using the idea of maximum deviation degree. After that, a weighted averaging operator with consideration ofinterval-valued intuitionistic fuzzy sets is proposed to combine attribute weights with assessments to form collective assessment. Finally, score function is developed to generate evaluation result or compare each alternative.
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