A Multi-Criteria Decision Analytic Model to Determine the Best Candidate for Executive Leadership

This paper has two objectives; to come up with a set of attributes that can be used to measure presidential aspirants in a democratic governance system, and to co-opt the attributes so assembled into a mathematical model that can be used to compute the best candidate among a myriad of competing alternatives. The model will have as inputs multiple and disparate criteria which will need to be transformed into dimensionless utilities for meaningful comparisons. The paper espouses why Multi-Criteria Decision Analysis (MCDA), with its variants of MAUT, MAVT and AHP is an appropriate tool to use to accomplish such a task. Constructed piecewise linear functions were used instead of linear Likert scales for better accuracy.