Equal Criteria Influence Approach (ECIA): Balancing Criteria Impact in Multi-Criteria Decision Analysis
2024
- 125Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage125
- Abstract Views69
- Downloads56
Conference Paper Description
In multi-criteria decision-making, determining the importance of individual criteria remains a crucial problem. Traditional approaches to weighting criteria often result in insufficient consideration of the varying influence of criteria on decision outcomes. This paper introduces a novel iterative method called the Equal Criteria Influence Approach (ECIA) to tackle this problem. ECIA aims to equalize the influence of criteria by iteratively adjusting their weights. Unlike conventional methods, ECIA emphasizes the impact of criteria on the preference of alternatives. This approach is comprehensively analyzed through a small simulation study and analysis of the decision problem of assessing crisis management systems. Studies show that ECIA offers a unique solution to dealing with variability in the impact of criteria, leading to a more balanced and stable decision-making model.
Bibliographic Details
International Conference on Information Systems Development
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