Abstract
In this paper, we investigate the multiple attribute decision making (MADM) problems for appraisal model of venture capital investing project based on high-tech outcome transformation with uncertain linguistic information. We utilize the uncertain linguistic weighted geometric mean (ULWGM) operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) by using the formula of the degree of possibility for the comparison between two uncertain linguistic variables. Finally an illustrative example for appraisal model of venture capital investing project based on high-tech outcome transformation with uncertain linguistic information has been given to show the developed approach and to demonstrate its feasibility and practicality.
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