Abstract
In this study, we used a laboratory experiment to test how well AHP is coping with identifying our preferences and what persuades us to accept the AHP outcomes: the result itself or perhaps a “scientific” way of obtaining it. Participants were asked to give rankings at three stages of the experiment: one at the beginning, one after filling in the AHP matrices, and the final one after learning the AHP ranking. Half of the participants were presented with the actual and half with the manipulated AHP ranking. Using nonparametric statistical tests, we found evidence that among the participants of the experiment, the process of filling in the AHP matrices itself had an impact on the final decision. However, the reformulation of the final decisions under the influence of the AHP ranking took place only among the participants who were presented with manipulated results. In addition, the experiment showed that the AHP ranking was more distant from the final ranking than the two previous rankings given by the participants.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cypryjański, J., Grzesiuk, A.: Expressing our preferences with the use of AHP: the game is not worth the candle? In: Nermend, K., Łatuszyńska, M. (eds.) Problems, Methods and Tools in Experimental and Behavioral Economics. Springer Proceedings in Business and Economics, pp. 155–165. Springer, Cham (2018)
Ishizaka, A., Balkenborg, D., Kaplan, T.: Does AHP help us make a choice? An experimental evaluation. J. Oper. Res. Soc. 62(10), 1801–1812 (2011)
Ishizaka, A., Siraj, S.: Are multi-criteria decision-making tools useful? An experimental comparative study of three methods. Eur. J. Oper. Res. 264(2), 462–471 (2018)
Linares, P.: Are inconsistent decisions better? An experiment with pairwise comparisons. Eur. J. Oper. Res. 193(2), 492–498 (2009)
Nermend, K.: The implementation of cognitive neuroscience techniques for fatigue evaluation in participants of the decision-making process. In: Nermend, K., Łatuszyńska, M. (eds.) Neuroeconomic and Behavioral Aspects of Decision Making. Springer Proceedings in Business and Economics, pp. 329–339. Springer, Cham (2017)
Pöyhönen, M., Hämäläinen, R.P.: On the convergence of multiattribute weighting methods. Eur. J. Oper. Res. 129(3), 569–585 (2001)
Ziemba, P., Wątróbski, J., Jankowski, J., Piwowarski, M.: Research on the properties of the AHP in the environment of inaccurate expert evaluations. In: Nermend, K., Łatuszyńska, M. (eds.) Selected Issues in Experimental Economics. Springer Proceedings in Business and Economics, pp. 227–243. Springer, Cham (2016)
Brunelli, M.: Introduction to the Analytic Hierarchy Process. Springer Briefs in Operations Research. Springer, Cham (2015)
Emrouznejad, A., Marra, M.: The state of the art development of AHP (1979–2017): a literature review with social network analysis. Int. J. Prod. Res. 55(22), 6653–6675 (2017)
Gass, S.: Model world: the great debate—MAUT versus AHP. Interfaces 35(4), 308–312 (2005)
Ishizaka, A., Labib, A.: Review of the main developments in the analytic hierarchy process. Expert Syst. Appl. 38(11), 14336–14345 (2011)
Mu, E., Pereyra-Rojas, M.: (2017) Practical Decision Making. An Introduction to the Analytic Hierarchy Process (AHP) Using Super Decisions. Springer Briefs in Operations Research, vol. 2
Saaty, T., Vargas, L.: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, 2nd edn. Springer, New York (2012)
Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Krejči, J.: Pairwise Comparison Matrices and Their Fuzzy Extention. Multi-criteria Decision Making with a New Fuzzy Approach. Studies in Fuzziness and Soft Computing. Springer (2018)
Krejči, J., Pavlačka, O., Talašova, J.: A fuzzy extension of analytic hierarchy process based on the constrained fuzzy arithmetic. Fuzzy Optim. Decis. Making 16(1), 89–110 (2017)
Millet, I.: The effectiveness of alternative preference elicitation methods in the analytic hierarchy process. J. Multi-Criteria Decis. Anal. 6, 41–51 (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Cypryjański, J., Grzesiuk, A., Bortko, K. (2020). What Really Helps Us Make a Choice? An Experimental Evaluation of AHP. In: Nermend, K., Łatuszyńska, M. (eds) Experimental and Quantitative Methods in Contemporary Economics. CMEE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30251-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-30251-1_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30250-4
Online ISBN: 978-3-030-30251-1
eBook Packages: Economics and FinanceEconomics and Finance (R0)