CAT PAW: Combinatorial Algorithm to Test all Possible Assortments of Weights

Gage Halverson,Zachary Dugger,David Claudio

doi:10.1016/j.simpa.2021.100214

Abstract

<h2>Abstract</h2> Group-based multi-criteria decision-making (MCDM) is a challenging and time-consuming process often rich with subjectivity. This paper outlines an algorithm created in Python to evaluate every possible criterion weighting combination to assist in making an objective decision. Implications of this study include increased efficiency and reduced subjectivity in group-based MCDM.

Highlights

One of the greatest challenges with multi-criteria decision-making (MCDM) is assigning weights to the different criteria
In the aviation context, pilots are carefully chosen based on prior experience and test competence [1]
This article outlines an algorithm created in Python to evaluate every possible criterion weighting combination to assist in making an objective decision

Summary

Introduction

One of the greatest challenges with multi-criteria decision-making (MCDM) is assigning weights to the different criteria. This is true when dealing with group decisions where it is often difficult to establish a consensus among decision-makers (DMs). In the aviation context, pilots are carefully chosen based on prior experience (e.g., flight hours, years of experience, aircraft qualifications) and test competence (e.g., check ride performance) [1]. This challenging and time-consuming process is often biased according to the DM’s weights’ magnitude and distribution [1]. A combination of the 29 alternatives (pilots) and eight criteria resulted in a 29 × 8 matrix from which we needed to select the top three candidates [1]

CAT PAW

Impact on research

Advantages and limitations