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A new binary programming formulation and social choice property for expediting the solution to Kemeny ranking aggregation

Yeawon Yoo(yyoo12***at***asu.edu)
Adolfo Escobedo(adRes***at***asu.edu)

Abstract: We introduce a binary programming formulation for general Kemeny ranking aggregation---for complete and incomplete rankings with and without ties---and compare it to a modified version of a recently developed integer programming formulation for the generalized Kendall-tau distance. Our new formulation provides comparative advantages including reduced memory requirements and computing times when solving large size problems. Moreover, we develop a new social choice property for group decision-making, called the Generalized Condorcet Criterion, which can be regarded as a natural extension of the well-known Condorcet criterion and the Extended Condorcet criterion. Unlike its parent properties, the Generalized Condorcet criterion is adequate for complete and incomplete rankings with and without ties. This property allows a simplification of the exact solution process for certain very large instances of the NP-hard Kemeny ranking aggregation problem. To test the practical implications of the new formulation and property, we work with randomized instances from probabilistic distributions and real-world data.

Keywords: Group decision-making; Ranking aggregation; Computational social choice, Integer programming formulation; Condorcet criterion

Category 1: Applications -- OR and Management Sciences

Category 2: Integer Programming

Category 3: Combinatorial Optimization

Citation:

Download: [PDF]

Entry Submitted: 11/19/2018
Entry Accepted: 11/19/2018
Entry Last Modified: 11/19/2018

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