Abstract

The Analytic Hierarchy Process (AHP) is one of the most widely used Multi-Criteria Decision-Making methods worldwide. As such, it is subject to criticisms that highlight some potential weaknesses. In this study, we present a new Multi-Criteria Decision-Making method denominated the “Triangular Assessment Method” (referred to by its Spanish abbreviation, MTC©). The MTC© aims to make use of the potential of AHP while avoiding some of its drawbacks. The main characteristics and advantages of the MTC© can be summarised as follows: (i) evaluation of criteria, and of the alternative options for each criterion, in trios instead of pairs; (ii) elimination of discrete scales and values involved in judgements; (iii) a substantial reduction in the number of evaluations (trios) relative to the corresponding number of pairs which would have to be considered when applying the AHP method; (iv) consistent decision-making; (v) introduction of closed cyclical series for comparing criteria and alternatives; and (vi) the introduction of opinion vectors and opinion surfaces. This new method is recommended for supporting decision-making with large numbers of subjective criteria and/or alternatives and also for group decisions where the consensus must be evaluated. The MTC© provides a different promising perspective in decision-making and could lead to new research lines in the field of information systems.

Highlights

  • The Analytic Hierarchy Process (AHP) (Saaty, 1977, 1980) is one of the best known and most commonly used Multi-Criteria Decision-Making (MCDM) methods worldwide (Velasquez, Hester, 2013, Segura, Ray, Maroto, 2014)

  • We suggest the following future research lines in order to improve the method: (i) study of the user-triangle iteration and how it could be improved to obtain representative judgements from the decision maker; (ii) analysis of the distribution of the opinion judgements -how this varies over time and how one criterion is affected by the others; (iii) study of the different series to show the triangles in the opinion/ judgement procedure; (iv) analysis of the different consensus additions; and (v) development of a simple tool to apply the method and study of the performance of such a tool in an unbiased context

  • The MTC© method involving decision-making based on the comparison of trios rather than pairs of criteria yields the following advantages over the classical AHP method: (i) capture of consistent judgements, which satisfies the axiom of transitivity, avoiding the disadvantages of common non-reciprocal judgment in AHP; (ii) increased concentration by the decision maker, thereby reducing the influence of the environment and minimizing the cognitive bias that may occur in the repetitive process of the decision; (iii) elimination of scales and discrete values in making judgments

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Summary

Introduction

The Analytic Hierarchy Process (AHP) (Saaty, 1977, 1980) is one of the best known and most commonly used Multi-Criteria Decision-Making (MCDM) methods worldwide (Velasquez, Hester, 2013, Segura, Ray, Maroto, 2014). The AHP is a hierarchical decision-making process comprising the following steps (Forman, Gass, 2001): (i) structuring, i.e. definition of a decision-making hierarchy; (ii) determination of preferences on a scale established for paired comparisons between criteria, and between pairs of alternatives for each criterion; (iii) synthesis; and (iv) selection of the best alternative. Determination of preferences is the most important step because it involves transformation of opinion judgement into a value or weight that is analysed in following steps. This is made possible by using a scale (Saaty, 1980) that has been developed in different studies (e.g. Dong, Xu, Li, Min, 2008, Ishizaka, Labib, 2011, Tsyganok, Kadenko, Andriichuk, 2016 and Cables, Lamata, Verdegay, 2016).

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