On the inconsistency of pairwise comparisons: an experimental study

A problem of the inconsistency of pairwise comparisons is of focal interest in the analytic hierarchy process (AHP), but, up to date, we know only little about how much are real decision makers inconsistent, and whether the number of objects to be compared influences the inconsistency of their judgments. Therefore, the aim of this paper is to experimentally assess how the inconsistency of pairwise comparisons in the AHP framework changes when the number of objects to be compared (alternatives and/or criteria) increases. In our study, the method of a blind experiment was selected: subjects of the study, who were familiar with the AHP, were instructed to pairwise compare from 3 to 7 objects not knowing the true objective of the study. The main result obtained via ANOVA method is that the consistency ratio was not affected by the increasing number of compared objects, the result that might be likely attributed to the apparent redundancy of pairwise comparisons in the AHP which “corrects” inconsistent judgments. Also, it was found that only 3% of pairwise comparison matrices provided by decision makers were fully consistent, while for 36% of pairwise comparison matrices the consistency ratio CR exceeded the threshold of 0.10.

[1]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[2]  W. W. Koczkodaj A new definition of consistency of pairwise comparisons , 1993 .

[3]  Jaroslav Ramík,et al.  Inconsistency of pair-wise comparison matrix with fuzzy elements based on geometric mean , 2010, Fuzzy Sets Syst..

[4]  Thomas L. Saaty,et al.  Group Decision Making and the AHP , 1989 .

[5]  J. Ramík Ranking Alternatives by Pairwise Comparisons Matrix with Fuzzy Elements on Alo-Group , 2016 .

[6]  T. Saaty Analytic Hierarchy Process , 2005 .

[7]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[8]  Jirí Mazurek,et al.  On Inconsistency Indices and Inconsistency Axioms in Pairwise Comparisons , 2017, ArXiv.

[9]  T. Saaty Decision making — the Analytic Hierarchy and Network Processes (AHP/ANP) , 2004 .

[10]  María Teresa Lamata,et al.  Consistency in the Analytic Hierarchy Process: a New Approach , 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[11]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[12]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[13]  Paul Thaddeus Kazibudzki An examination of performance relations among selected consistency measures for simulated pairwise judgments , 2016, Annals of Operations Research.

[14]  Michele Fedrizzi,et al.  Inconsistency indices for pairwise comparison matrices: a numerical study , 2013, Annals of Operations Research.

[15]  Petra Grošelj,et al.  Estimating Priorities in Group AHP Using Interval Comparison Matrices , 2013 .

[16]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[17]  Michele Fedrizzi,et al.  Axiomatic properties of inconsistency indices for pairwise comparisons , 2013, J. Oper. Res. Soc..

[18]  Ernest H. Forman,et al.  Group decision support with the Analytic Hierarchy Process , 1992, Decis. Support Syst..

[19]  Thomas L. Saaty,et al.  Prediction, projection and forecasting : applications of the analytic hierarchy process in economics, finance, politics, games and sports , 1991 .

[20]  Fatemeh Zahedi,et al.  The Analytic Hierarchy Process—A Survey of the Method and its Applications , 1986 .

[21]  Waldemar W. Koczkodaj,et al.  On Axiomatization of Inconsistency Indicators for Pairwise Comparisons , 2013, Fundam. Informaticae.

[22]  Jacek Szybowski,et al.  The limit of inconsistency reduction in pairwise comparisons , 2016, Int. J. Appl. Math. Comput. Sci..

[23]  Cengiz Kahraman,et al.  Fuzzy Analytic Hierarchy Process and its Application , 2008 .