Policy capturing in small‐group decision making: Using linear programming to assign factor weights for the NCAA Selection Committee's ranking decisions in the 2016 through 2018 men's basketball tournaments

Bruce A. Reinig and Ira Horowitz

Managerial and Decision Economics, 2019, vol. 40, issue 1, 97-104

Abstract: We present a general approach for applying policy capturing to small‐group decision making and demonstrate the approach with the NCAA Selection Committee's rankings of the 68 teams in the three most recent Division I Men's Basketball Tournaments. We develop a linear programming model that minimizes the extent to which the evaluation of a lower‐ranked team exceeds that of a team ranked immediately above it. The result is a set of linear weights that approximates a group decision when the decision itself is demonstrably internally inconsistent in that a group ranks some teams higher than others despite a lower implied evaluation.

Date: 2019
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https://doi.org/10.1002/mde.2984

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Persistent link: https://EconPapers.repec.org/RePEc:wly:mgtdec:v:40:y:2019:i:1:p:97-104

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