Composition of Probabilistic Preferences in Multicriteria Problems with Variables Measured in Likert Scales and Fitted by Empirical Distributions

Composition of Probabilistic Preferences in Multicriteria Problems with Variables Measured in Likert Scales and Fitted by Empirical Distributions

The aim of this article is to demonstrate the advantages of the Composition of Probabilistic Preferences method in multicriteria problems with data from Likert scales. Multicriteria decision aids require a database as a decision matrix, in which two or more alternatives are evaluated according to tw...

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Bibliographic Details
Main Authors: Luiz Octávio Gavião, Annibal Parracho Sant’Anna, Gilson Brito Alves Lima, Pauli Adriano de Almada Garcia
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Standards
Subjects:
probabilistic preferences
CPP
Likert scales
empirical distributions
Online Access:https://www.mdpi.com/2305-6703/3/3/20

Internet

https://www.mdpi.com/2305-6703/3/3/20

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