Authors:
João Carlos C. B. Soares de Mello
1
;
João Erick M. Fernandes
2
and
Luiz Flávio Autran M. Gomes
3
Affiliations:
1
Universidade Federal Fluminense, Brazil
;
2
Costa do Sol Táxi Aéreo, Brazil
;
3
Ibmec/RJ, Brazil
Keyword(s):
Fuzzy sets, Regional Aviation, Stochastic evaluation, Multicriteria Decision Aiding, Entropy, NAIADE method.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Operational Research
;
OR in Transportation
;
Pattern Recognition
;
Software Engineering
Abstract:
This article deals with the problem of multicriteria selection of an aircraft. The problem has eight alternatives to be evaluated under eleven different criteria, whose measurements can be exact, stochastic, or fuzzy. The technique chosen for analyzing and then finding a solution to the problem is the multicriteria decision aiding method named NAIADE (Novel Approach to Imprecise Assessment and Decision Environments). The method used allows tackling the problems by working with quantitative as well as qualitative criteria under uncertainty and imprecision. Another considerable advantage of NAIADE over other multicriteria methods relies in its characteristics of not requiring a prior definition of the weights by the decision maker. As a conclusion it can be said that the use of NAIADE provided for consistent results to that aircraft selection problem.