The aim of this paper is to select the most feasible oxygenates and alcohols for fuel manufacturing through the use of a quantitative approach enabling multi-factor decision making procedure and mathematical modeling. Among oxygenates and alcohols, the problem of selecting the most proper one is evaluated, using numerous properties of gasoline substitutes and their related sub-properties. Two separate quantitative techniques are used within the framework of a proposed hybrid algorithm. The first technique applied is the multi-factor evaluation method where each property is appointed a relative weight based on expert evaluations. The second applied method is mathematical modeling where the problem is modeled using integer programming. The objective of the problem is designed as a function to calculate the total absolute difference between the values of gasoline and those of alternatives for each property. Thus, the model tries to find the alternative that minimizes the objective function.  The proposed algorithm is a comprehensive decision analysis technique because it considers the significance of each property and incoherence in the rankings are confirmed. The results indicate that the proposed mathematical model enables more advanced choices as it considers the relative weights of the properties. The application of the proposed method and the conclusions of this paper supply an idea on how this method can be performed as a decision-making tool in alcohol and cellulose-derived oxygenates selection as substitutes for gasoline.