Process (AHP) is a sub - discipline of operations research that explicitly evaluates multiple potential criteria in decision-making.
The Analytic Hierarchy
Process (AHP) is designed to structure a decision-making process in a scenario affected by several independent factors.
Saaty (2008) proposed the decision making procedure through examples using analytic hierarchy
In total, nine morphological parameters were used to prioritize sub-watersheds using fuzzy analytic hierarchy
Regarding health aspects research, formers have made many efforts, and obtained abundant achievements, such as: Wang applied analytic hierarchy
process method in civil servant physical health conditions to define weights, after that combined fuzzy mathematical method to made comprehensive evaluation on it, and predicted its trend (Zhang et al.
A structured scientific solution to the Israeli- Palestinian conflict: the analytic hierarchy
It spans a spectrum of research areas such as risk and risk marketing, business strategy, product innovation, productivity, performance, team coordination, payoff differentials, grey relational analysis, analytic hierarchy
process, data envelopment analysis, fuzzy numbers and multiple attribute decision-making.
Weight coefficients for hierarchical level were calculated using the Analytic Hierarchy
Process method (AHP) (Saaty, 2008), but instead of using pairwise comparison of the criteria by the relative importance, Pearson correlation coefficient was used.
One of frequently used multicriteria decision making aid methods is Analytic Hierarchy
Process (classical, but also fuzzy).
Meanwhile, analytic hierarchy
process (AHP), proposed by Saaty , is a practical decision-making method [5, 6].
Jolayemi J (2012) On the applications of analytic hierarchy
process in institution-wide strategic planning.
In our first Industry Note, Rosa, Brnjac, and Abramovic use the analytic hierarchy
process to evaluate the criteria used for deciding on suitable locations for intermodal terminals in Croatia.