About DecAid

DecAid will generate a ranking of the alternatives you have to reach your goal, by making calculations using the data you feed into the system.

DecAid is a project that was inspired by Dr. Monica Huehner´s Dissertation on the use of the Analytic Hierarchy Process in the agricultural field.

AHP is a multi criteria decision method. Its algorithm is the basis for DecAid.

The four pillars of DecAid are:

Goal or "problem": A well formulated goal or problem will also deliver reliable and realistic results. This will also make it easier for you to figure out which measures (criteria) influence your decision procedure. For example, "Buy a suitable family house"
Criteria: You decide which criteria influence your decision procedure and which are important for you to reach your goal. For example, Size of house, is there a garage, number of bedrooms, location, neighbours, public transport….

You have to make a pairwise comparison of the criteria to set/determine which criterion is most important for you.

Alternatives: are the means of reaching your goal. Make a list of the alternatives you have; for example, which houses qualify?
Hard data: The next step is to feed DecAid with hard data. If the criterion or attribute is not measurable, you have to use the given scale.

About Founders of DecAid

After studying agriculture with specialization in agronomy, Dr. Monica Huehner, of Zimbabwean origin, took up phD studies at the Faculty of Agricultural and Horticultural Sciences of the Humboldt University Berlin in the Department of Agriculture in the Tropics and Subtropics. With her family living in Slovenia, she again started phD studies at the Faculty of Agricultural and Life Sciences of the University of Maribor Slovenia on the topic: "Application of the Analytic Hierarchy Process for the assessment of agri-environmental measures of the Rural Development Programme", which she successfully completed in June 2015.

Publications

Monica Huehner, Črtomir Rozman and Karmen Pažek (2016). A Case Study on the Application of the Analytic Hierarchy Process (AHP) to Assess Agri-Environmental Measures of the Rural Development Programme (RDP 2007–2013) in Slovenia, Applications and Theory of Analytic Hierarchy Process - Decision Making for Strategic Decisions, Prof. Fabio De Felice (Ed.), InTech, Available from: http://www.intechopen.com/books/applications-and-theory-of-analytic-hierarchy-process-decision-making-for-strategic-decisions/a-case-study-on-the-application-of-the-analytic-hierarchy-process-ahp-to-assess-agri-environmental-m

HUEHNER, Monica (2015): Application of the Analytic Hierarchy Process for the assessment of agri-environmental measures of the Rural Development Programme. Univerza v Mariboru (Slovenia), ProQuest Dissertations Publishing, 2015. 3715296 (Dissertation at the University of Maribor/Slovenia)

ROZMAN Črtomir, HÜHNER Monika, KOLENKO Matej, TOJNKO Stanislav, UNUK Tatjana, PAŽEK Karmen. Apple Variety Assessment with Analytical Hierarchy Process. Erwerbs-Obstbau, 2015, http://link.springer.com/article/10.1007/s10341-015-0236-8 [SPRINGER.COM-ID: DOI 10.1007/s10341-015-0236-8]

Balázs Batari`s excellent computer programming knowledge and mathematical comprehension are a blessing for DecAid.