In this study, the methodology of analytic hierarchical process (AHP) questionnaire was adopted.
Each aspect and PA is weighted by using the AHP (analytic hierarchical process).
Two MCDA methods were used in this study, namely Analytic Hierarchical Process (AHP) and Technique for Order Performance by Similarity to the Ideal Solution (TOPSIS).
In order to address this research issue, an ontology-based knowledge modelling technique using an analytic hierarchical process (AHP) is proposed.
Land use structure was optimized by multi-objective programming, using remote sensing (RS) and geographical information system (GIS) techniques, analytic hierarchical programming (AHP) and expert consultancy.
These limitations can be mitigated by the integration of the fuzzy logic to the AHP algorithm, which results in the fuzzy analytic hierarchical process (FAHP) method [18, 31, 32].
This study particularly uses analytic hierarchical process questionnaires to get the weighting value of the nine impact categories: energy depletion, global warming, ozone depletion, resource consumption, ecosystem influence, water pollution, waste disposal, air pollution, and acid rain.
Second, we combined the results of risk analysis with Analytic Hierarchical Process to design an optimal layout for which the levels of on-site and off-site risks would be minimum.
The Analytic Hierarchical Process (AHP) approach is a common, very popular and widely used Multi-Criteria Decision Making (MCDM) method [139] aimed at "decomposing, organizing and analysing a complex problem" [82] and converting it into a hierarchical structure of various levels, such as goal, criteria, sub-criteria, and alternatives [118, 119, 120].
