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Assessment on investment risk of venture capital project with linguistic information

Xiang Tang

With the development of high-new technology industries and the coming of information economy, venture capital emerges as the times requires and has been rapidly fashionable all over the world. Today, in the fast development of information economy, venture capital plays an important part in accelerating innovation of science and technology, improving productivity, adjusting industry structure, advancing the integrated national power and international contest ability. In venture capital practice activities, evaluating the projects correctly is an essential link to make the venture capital operate successfully. In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for evaluating the investment risk of venture capital project with linguistic information. We utilize the linguistic weighted averaging (LWA) operator and linguistic hybrid aggregation (LHA) operator for evaluating the investment risk of venture capital project with linguistic information. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness