The United States Department of Agriculture recently published a paper in the Journal of Preventive Veterinary Medicine discussing how the analytic hierarchy process (AHP) presented a cooperative approach to animal disease response activities in California.
“Available resources limited the ability to pursue all the activities, and responsible parties and stakeholders recognized the need to prioritize the activities. The analytic hierarchy process (AHP) is a useful multi-criteria decision making methodology that incorporates qualitative information (in the form of judgments) with available quantitative information…
Decision Lens (Arlington, VA) is a commercial package that provides ready use of the AHP decision model. A major advantage of the this type of software package is that the platform is Web- based, thereby providing more flexible access for participants who might be unable to attend a live meeting. The web component provides the ability to see real-time results as stakeholders enter their judgments and allows easy adjustments if participants change their judgments, as well as the ability to look at the input of individual participants and/or groups. The software also allows the input of certain members, such as key policy makers or experts, to have more impact on the final scores, by allowing different weights associated with each participant’s input. For example, a commercial poultry veterinarians input might be weighted twice that of a diagnostic veterinarian because of his or her increased expertise in dealing with vvIBD in commercial poultry. However, one limitation is the inability to give variable weights to an individual depending on the topic. For example, while the diagnostic veterinarian may know more about the disease they most likely would know less than a regulatory veterinarian with respect to policy. Finally, the software enables the principal decision makers to easily perform sensitivity analyses. These analyses show how the activities might score differently if stakeholder opinions changed, which might occur when new information arises or new policies are implemented.”
Read more here: http://dx.doi.org/10.1016/j.prevetmed.2015.06.001
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