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PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments
Author(s) -
Siraj Sajid,
Mikhailov Ludmil,
Keane John A.
Publication year - 2015
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/itor.12054
Subject(s) - pairwise comparison , ranking (information retrieval) , flexibility (engineering) , consistency (knowledge bases) , computer science , pareto principle , range (aeronautics) , operations research , selection (genetic algorithm) , decision support system , estimation , data mining , management science , mathematical optimization , machine learning , artificial intelligence , statistics , mathematics , systems engineering , economics , engineering , aerospace engineering
Pairwise comparison (PC) is a well‐established method to assist decision makers (DMs) in estimating their preferences. This paper considers the rationale, design, and evaluation of an open‐source priority estimation tool, PriEsT, which has been developed to offer new features related to the PC method. PriEsT is able to assist DMs in interactively identifying and revising their judgments based on different consistency measures and graphical aids. When inconsistency cannot be improved due to practical limitations, PriEsT offers a wide range of Pareto‐optimal solutions based on multiobjective optimization, unlike other tools that offer only a single solution. DMs have the flexibility to select any of these nondominated solutions according to their requirements. The features of PriEsT have been demonstrated and evaluated through its application to a real‐world case study: the selection of the most appropriate telecom infrastructure for rural areas. This case study using PriEsT has highlighted the presence of intransitive judgments in the acquired data, and the correction of these judgments has led to a different ranking of the available alternatives.