Modelling risk and uncertainty with the analytic hierarchy process

By I. Millet, W. Wedley. 2002

168 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f5f32cbe0aec7d468a4866c75868034b35a0f54f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Timothy A. Volk
2. T. Buchholz
3. V. Luzadis

In Management Science and Operations Research

1. Francisco Javier Santos-Arteaga
2. Madjid Tavana
3. Mehdi Soltanifar
4. Timothy A. Volk
5. T. Buchholz
6. V. Luzadis

In Statistics and Probability

1. Francisco Javier Santos-Arteaga
2. Madjid Tavana
3. Mehdi Soltanifar
4. Timothy A. Volk
5. T. Buchholz
6. V. Luzadis

Citations in the corpus

• A participatory systems approach to modeling social, economic, and ecological components of bioenergy (2007, methodology): “There are multiple methods to measure risk through MCA (Millet and Wedley, 2002), and broad stakeholder participation further reduces uncertainty.”
• Analytical hierarchy process: revolution and evolution (2021, background): “…can analyze group decision-making problems through the geometric mean of the individual pairwise comparisons (Zahir, 1999). e. AHP can easily account for risky and uncertain situations due to its capacity to derive scales in settings where measures generally do not exist (Millet & Wedley, 2002). f.”