A Decision Support System for Improving the Inconsistency in AHP

Author:

Escobar María Teresa1ORCID,Aguarón Juan1,Moreno-Jiménez José María1ORCID,Turón Alberto1ORCID

Affiliation:

1. Faculty of Economics and Business, Spain

Abstract

This paper presents a DSS aimed at helping decision makers reduce and improve their inconsistency in eliciting their judgements when using the analytic hierarchy process (AHP). The DSS is designed for revising the judgements of a pairwise comparison matrix when the row geometric mean (RGM) is used as the prioritisation procedure and the geometric consistency index (GCI) as the inconsistency measure. The procedure employed guarantees that both the judgements and the derived priority vector will be close to the initial values. The DSS allows different degrees of participation of the decision maker in the review/modification of the judgements: no participation (automatic mode); prior participation (semi-automatic mode); and ongoing participation (interactive mode). The DSS also includes options to incorporate other requirements of the decision maker, such as limiting the modified values to an interval or improving inconsistency by modifying the lowest number of judgements, among others.

Publisher

IGI Global

Subject

Modeling and Simulation,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Review Based on Various Applications to Find a Consistent Pairwise Comparison Matrix;Journal of Reliability and Statistical Studies;2024-06-05

2. A comprehensive state-of-the-art survey on the recent modified and hybrid analytic hierarchy process approaches;Applied Soft Computing;2024-01

3. Forestry Economic Forecasting Methods, Models and Computer Support Systems;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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