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Analysis of consumer preferences expressed by prioritization chains
Author(s) -
Vanacore Amalia,
Pellegrino Maria Sole,
Marmor Yariv N.,
Bashkansky Emil
Publication year - 2019
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2530
Subject(s) - preference , cosine similarity , set (abstract data type) , similarity (geometry) , metric (unit) , repeatability , computer science , mathematics , data mining , prioritization , statistics , artificial intelligence , engineering , operations management , management science , cluster analysis , image (mathematics) , programming language
In this paper, a novel approach is proposed to analyze and interpret consumer preference data expressed as weak orderings (ie, preference chains) over a set of alternatives. A simple distance metric based on cosine similarity is used to assess the repeatability and reproducibility of consumer preferences. These concepts have been borrowed from metrology and can be usefully adopted to evaluate the meaningfulness of aggregated measures (eg, median preference chain) defined over the preference data set. The proposed approach is fully exploited through a real case study involving a group of consumers expressing their preferences over alternative types of pizza toppings.