Extending the applicability of the analytic hierarchy process

Abstract The Analytic Hierarchy Process (AHP) has often been used to support decisions that only have to be made once. In this study, we explore whether the AHP can be applied to repetitive decision-making. We suggest a variant of the process to elicit implicit decision models that evaluate alternatives not incorporated in the models construction. In this variant, absolute, rather than relative, intensities (for example, low and medium) of the criteria are used. The results of a laboratory study with 180 participants show that the AHP clearly outperforms the naive model. This provides the potential for a new range of AHP applications, including repetitive decisions, decisions with a large number of alternatives, and eliciting parameters in expert systems.

[1]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.

[2]  Sanjoy Ghose,et al.  When Choice Models Fail: Compensatory Models in Negatively Correlated Environments , 1989 .

[3]  D. Wittink,et al.  Commercial Use of Conjoint Analysis: A Survey , 1982 .

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

[5]  Gavin R. Finnie,et al.  Prioritizing software development productivity factors using the analytic hierarchy process , 1993, J. Syst. Softw..

[6]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[7]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[8]  Hokey Min,et al.  Selection of Software: The Analytic Hierarchy Process , 1992 .

[9]  Catherine K. Murphy,et al.  LIMITS ON THE ANALYTIC HIERARCHY PROCESS FROM ITS CONSISTENCY INDEX , 1993 .

[10]  D. A. Mitta,et al.  An Application of the Analytic Hierarchy Process: A Rank-Ordering of Computer Interfaces , 1993 .

[11]  Thomas L. Saaty,et al.  Absolute and relative measurement with the AHP. The most livable cities in the United States , 1986 .

[12]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[13]  C. C. Waid,et al.  An Experimental Comparison of Different Approaches to Determining Weights in Additive Utility Models , 1982 .

[14]  Heeseok Lee,et al.  A structured methodology for software development effort prediction using the analytic hierarchy process , 1993, J. Syst. Softw..

[15]  R. Dyer,et al.  An analytic approach to marketing decisions , 1991 .

[16]  Paul E. Green,et al.  Conjoint Internal Validity Under Alternative Profile Presentations , 1988 .

[17]  Ulrich Furbach,et al.  Formal specification methods for reactive systems , 1993, J. Syst. Softw..

[18]  Yoram Wind,et al.  Subjective evaluation models and conjoint measurement , 1972 .

[19]  Stanley Zionts,et al.  Multiple criteria decision making : proceedings of the Ninth international conference : theory and applications in business, industry, and government , 1992 .

[20]  Valerie Belton,et al.  On a short-coming of Saaty's method of analytic hierarchies , 1983 .

[21]  Pradeep K. Korgaonkar,et al.  An Empirical Comparison of the Predictive Validity of Self-Explicated, Huber-Hybrid, Traditional Conjoint, and Hybrid Conjoint Models , 1983 .

[22]  P. Harker.  Alternative modes of questioning in the analytic hierarchy process , 1987 .

[23]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[24]  Jordan J. Louviere,et al.  An Empirical Comparison of Ratings-Based and Choice-Based Conjoint Models , 1992 .

[25]  Raimo P. Hämäläinen,et al.  Processing interval judgments in the analytic hierarchy process , 1992 .

[26]  R. Hämäläinen,et al.  On the measurement of preferences in the analytic hierarchy process , 1997 .

[27]  R. P. Mohanty,et al.  Use of the Analytic Hierarchy Process for Selecting Automated Manufacturing Systems , 1993 .

[28]  Thomas L. Saaty,et al.  Modeling the graduate business school admissions process , 1991 .

[29]  H. Timmermans.  Hybrid and non-hybrid evaluation models for predicting outdoor recreation behavior : a test of predictive ability , 1987 .

[30]  Willem J. Heiser,et al.  Constrained part-worth estimation in conjoint analysis using the self-explicated utility model * , 1992 .

[31]  Paul E. Green,et al.  A Hybrid Utility Estimation Model for Conjoint Analysis , 1981 .

[32]  T. Saaty.  RANK GENERATION, PRESERVATION, AND REVERSAL IN THE ANALYTIC HIERARCHY DECISION PROCESS , 1987 .

[33]  John M. Hassell,et al.  An empirical examination of the sensitivity of the analytic hierarchy process to departures from recommended consistency ratios , 1993 .

[34]  John O. Summers,et al.  Reliability and Validity of Conjoint Analysis and Self-Explicated Weights: A Comparison , 1984 .

[35]  John R. Hauser,et al.  Alternative Perceptual Mapping Techniques: Relative Accuracy and Usefulness , 1979 .