Evaluating Airline Service Quality Using Fuzzy DEMATEL and ANP

Year 2017, , 57 - 77, 28.12.2017

Navid Haghighat

https://doi.org/10.25069/spmj.351296

Cited By: 3

Abstract

A hybrid fuzzy MADM method is proposed in this paper for
evaluating airline service quality. Fuzzy set theory is used since it helps in
measuring the ambiguity of concepts associated with human being’s subjective
judgment. After reviewing service quality evaluation models especially in the
airline industry, SSQAI model was adopted as a construct for evaluating airline
service quality in Iran. Fuzzy DEMATEL was applied to determine the degree of
influence and impact of criteria on each other and extract cause and effect
relations between them that helped in ranking criteria based on the degree of
relationship. Then, ANP network map was constructed based on the relation map
generated from Fuzzy DEMATEL analysis. Fuzzy ANP approach assisted in
prioritizing criteria based on the need for improvement and enabled in a more
accurate measurement in decision-making process taking the advantage of using
linguistic variables. Fuzzy DEMATEL results demonstrate that expertise,
Problem-solving, and conduct has the most influence on other factors and in
opposite Valence, Waiting Time, Comfort are the factors which get the most
impact from other factors and according to Fuzzy ANP analysis Valence,
Convenience, Problem-solving, and Safety&Security are the factors with most
priorities that need improvement.

Keywords

Airline Service Quality, Fuzzy Theory, FMADM, Fuzzy DEMATEL

Evaluating Airline Service Quality Using Fuzzy DEMATEL and ANP

Abstract

A hybrid fuzzy MADM method is proposed in this paper for evaluating airline service quality. Fuzzy set theory is used since it helps in measuring the ambiguity of concepts associated with human being’s subjective judgment. After reviewing service quality evaluation models especially in the airline industry, SSQAI model was adopted as a construct for evaluating airline service quality in Iran. Fuzzy DEMATEL was applied to determine the degree of influence and impact of criteria on each other and extract cause and effect relations between them that helped in ranking criteria based on the degree of relationship. Then, ANP network map was constructed based on the relation map generated from Fuzzy DEMATEL analysis. Fuzzy ANP approach assisted in prioritizing criteria based on the need for improvement and enabled in a more accurate measurement in decision-making process taking the advantage of using linguistic variables. Fuzzy DEMATEL results demonstrate that expertise, Problem-solving, and conduct has the most influence on other factors and in opposite Valence, Waiting Time, Comfort are the factors which get the most impact from other factors and according to Fuzzy ANP analysis Valence, Convenience, Problem-solving, and Safety&Security are the factors with most priorities that need improvement.

Keywords

Airline Service Quality, Fuzzy Theory, FMADM, Fuzzy DEMATEL

References

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