Ranking Aggregation Techniques

Fiorenzo Franceschini, Domenico A. Maisano and Luca Mastrogiacomo
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Fiorenzo Franceschini: Politecnico di Torino
Domenico A. Maisano: Politecnico di Torino
Luca Mastrogiacomo: Politecnico di Torino

Chapter Chapter 5 in Rankings and Decisions in Engineering, 2022, pp 85-160 from Springer

Abstract: Abstract This chapter focuses on ranking aggregation techniques, which are the core of the whole book. The initial part of the chapter suggests a taxonomy based on three characteristic features: (a) input data characteristics, (b) aggregation mechanism, and (c) output data characteristics. Without any ambition of exhaustiveness, the rest of the chapter offers a varied description of state-of-the-art techniques, ranging from some very popular and well-established ones—such as those from Voting Theory (Borda’s Count, Instant-Runoff Voting, etc.), ELECTRE-II method, Yager’s algorithm (YA), and Thurstone’s Law of Comparative Judgment (LCJ)—to more recent and innovative ones—such as (1) Enhanced Yager’s algorithm (EYA) and (2) ZMII technique. A structured case study application accompanies the description.

Date: 2022
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DOI: 10.1007/978-3-030-89865-6_5

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