The Venture Capital decision making process involves several conflicting and imprecise criteria. The decision to invest is a difficult one with serious adverse selection risk and surrounded with uncertainty. The aim of this paper is to propose a cardinality constrained Fuzzy Goal Programming (FGP) model to deal with such a complex scenario. A FGP model does not require any assumptions on the probability distribution, better fitting with the characteristics of the Venture Capital market. The developed model is illustrated through a numerical example which uses data taken from an Italian venture capital fund.
No takes yet. Share an insight, caveat, or question.
Aouni et al. (2014) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: