Venture capital project selection based on interval number grey target decision model

Abstract In this study, aiming at the multi-attribute decision-making problem with incomplete and uncertain attribute weight information value of interval numbers, a grey target model numbers based on positive negative clouts is proposed. Firstly, in model, linear transformation operator number used to normalize original decision information, are designed. Secondly, after space projection distance between each scheme considered comprehensively, off-target taken as basis vector analysis obtain new comprehensive distance. The existing ignores important influence distribution correlation attributes evaluation, there some fuzzy errors when setting attributes. order solve above problems, paper combined uncertainty weights, goal programming constructed for objective function minimization vector, finally determine scheme. Finally, feasibility effectiveness proposed verified by an example venture capital projects. Compared traditional models, improved fully considers characteristics data