DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS

By Thomas L. Saaty. 2008

10,060 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e3c561049eb532e328fc2b8288c490986cd9403f

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In Management of Technology and Innovation

In Management Science and Operations Research

Citations in the corpus

Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition. (2019, background): “This quantifies the relative value of a variety of different aspects of study methods [13].”
Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process (2013, methodology): “The resultant can be used to compare and rank the alternatives and, hence, assist the decision maker in making a choice (Saaty, 2000, 2008).”
A multi-actor multi-criteria framework to assess the stakeholder support for different biofuel options: The case of Belgium (2011, neutral): “Finally, in step 5, pairwise comparisons of the alternatives with respect to the specific criterion can be made, based on the Saaty scale (Saaty, 2008) (see Table 1).”
Towards a holistic sustainability index for measuring sustainability of manufacturing companies (2015, methodology): “The most widespread method is the AHP introduced by Saaty (2008).”
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. (2011, methodology): “A scoring system was developed using the analytic hierarchy process [43].”
Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information (2019, background): “Common weight calculation methods are analytic hierarchy process (AHP) [24,25] and entropy measures [26,27] which determine weights when the information is completely unknown.”
An Analysis of Multi-Criteria Decision Making Methods (2013, background): “AHP is " a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales " (Saaty, 2008, p. 83).”
Design Principles for Industrie 4.0 Scenarios (2016, methodology): “[50] T.L. Saaty, “Priority setting in complex problems”, IEEE Transactions on Engineering Management, Volume EM-30, Issue: 3, 1983, pp. 140-155.”
A comparison of environmental and energetic performance of European countries: A sustainability index (2017, background): “Pair-wise comparison scale for AHP preferences [34, 76] Numerical rating Verbal judgements of preferences 1 Equally preferred 2 Equally to moderately 3 Moderately preferred 4 Moderately to strongly 5 Strongly preferred 6 Strongly to very strongly 7 Very strongly preferred 8 Very strongly to extremel”
When to use what: Methods for weighting and aggregating sustainability indicators (2017, neutral): “A fundamental scale is used in making the comparisons, which consists of verbal judgments ranging from equal to extreme and corresponding numerical judgments often ranging from 1 to 9 (Saaty, 1990, 2008).”
Criteria in AHP: A Systematic Review of Literature (2015, neutral): “The comparison is made through a scale to show “how many times more important or dominant one element is over another element with respect to the criterion or property with respect to which they are compared” [1].”
Evaluating the factors that influence blockchain adoption in the freight logistics industry (2020, positive): “AHP, developed by Saaty (2008), happens to be one of the heavily used MCDM/A in the literature (see Mardani et al., 2015).”