Affiliations:
School of Innovation and Entrepreneurship, Harbin University of Commerce, Harbin, Heilongjiang, China
Correspondence:
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Corresponding author. Yingying Ding, School of Innovation and Entrepreneurship, Harbin University of Commerce,
Harbin, Heilongjiang, China. Tel.:/Fax: +86-0451-84865000; E-mail: hebsycxdyy@163.com.
Abstract: Since the 1990s, High-tech industries have become the most dynamic growth point of the world economy and the leading industry in promoting economic development. In the fierce competition of globalization, it is necessary to master high-tech industries for the sake of grasping the leadership of economic development. As a developing country, China should develop high-tech industries more positively, so as to promote the adjustment of industrial structures and the transformation of economic development patterns, so that the country’s economy development will be healthy and orderly. At present, the development of China’s high-tech industry has made some achievements. By the end of 2012, the number of firms of China’s high-tech industry has reached 24636, which is 1.52 times in compared with 9758 in 2000; the number of employees has risen from 2000 in 3.9 million to 12.69 million; the main business achieved at 10.2284 trillion yuan with 681.6 billion yuan total profit obtained. Compared with developed countries, however, the intensity of investment and the level of output in China’s high-tech industries are both low. In this paper, we investigate the multiple attribute decision making problems with picture fuzzy information. Then, we utilize Choquet integral to propose the picture fuzzy correlated averaging (PFCA) operators. The prominent characteristic of this proposed operator are studied. Then, we have utilized the picture fuzzy correlated averaging (PFCA) operator to deal with the picture fuzzy multiple attribute decision making problems. Finally, a practical example for technical innovation efficiency evaluation of high-tech industry is given to verify the developed approach.
