The Degree of (Extended) Justified Representation and Its Optimization

Abstract

Justified Representation (JR)/Extended Justified Representation (EJR) is a desirable axiom in multiwinner approval voting. In contrast to that (E)JR only requires at least one voter to be represented in every cohesive group, we study its optimization version that maximizes the number of represented voters in each group. Given an instance, we say a winning committee provides a JR degree (EJR degree, resp.) of c if at least c voters in each -cohesive group (1-cohesive group, resp.) have approved (1, resp.) winning candidates. Hence, every (E)JR committee provides the (E)JR degree of at least 1. Besides proposing this new property, we propose the optimization problem of finding a winning committee that achieves the maximum possible (E)JR degree, called and , corresponding to JR and EJR respectively. We study the computational complexity and approximability of of . An (E)JR committee, which can be found in polynomial time, straightforwardly gives a (k/n)-approximation. We also show that the original algorithms for finding a JR and an EJR winner committee are also 1/k and 1/(k+1) approximation algorithms for and respectively. On the other hand, we show that it is NP-hard to approximate and to within a factor of (k/n)1-ε and to within a factor of (1/k)1-, for any ε>0, which complements the positive results. Next, we study the fixed-parameter-tractability of this problem. We show that both problems are W[2]-hard if k, the size of the winning committee, is specified as the parameter. However, when cmax, the maximum value of c such that a committee that provides an (E)JR degree of c exists, is additionally given as a parameter, we show that both and are fixed-parameter-tractable.

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