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The analytic hierarchy process—what it is and how it is used
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“The number of Level 1 criteria (n = 6) remained within Saaty's [23] recommended range (7 ± 2) for cognitively tractable pairwise comparison.”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as [23]
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“The resulting six-criterion structure remained within Saaty's [23] recommended range (7 ± 2), allowing cognitively tractable pairwise comparison while preserving full domain coverage.”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as Saaty's [23]
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“The Analytic Hierarchy Process (AHP), developed by Saaty [23], is a multi-criteria decision-making technique that decomposes complex problems into hierarchical structures of goal, criteria, and alternatives, and then quantifies relative importance through pairwise comparisons.”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as [23]
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“AHP enables the conversion of qualitative expert judgments into numerical weights, with built-in consistency verification through the Consistency Ratio (CR).”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as [23]
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“The consistency ratio of 0.015 confirms acceptable logical consistency well within Saaty's [23] threshold of 0.10.”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as [23]
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“One of the most commonly used multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP), which is used to determine criteria weights and rank alternatives based on expert judgment [41].”
From An Integrated AHP–Fuzzy AHP Evaluation Framework for Large Language Models in Software Engineering Education (2026) · cites this paper as [41]
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Research works printed but not linked: 12
- Saaty, 1982, Decision Making for Leaders
- Saaty, 1986, Absolute and relative measurement with the AHP. The most livable cities in the United States, Socio-econ. Plann. Sci., 20, 327, 10.1016/0038-0121(86)90043-1 · DOI
- Saaty, 1987, Stimulus—response with reciprocal kernels: the rise and fall of sensation, J. math. Sci.
- Aczél, 1983, Procedures for synthesizing ratio judgements, J. math. Psychol., 27, 93, 10.1016/0022-2496(83)90028-7 · DOI
- Hämäläinen, 1986, The analytic network process in energy policy planning, Socio-econ. Plann. Sci., 20, 399, 10.1016/0038-0121(86)90054-6 · DOI
- Harker, 1987, Alternative modes of questioning in the Analytic Hierarchy Process, Mathl Modelling, 9, 353, 10.1016/0270-0255(87)90492-1 · DOI
- Saaty, 1984, Inconsistency and rank preservation, J. math. Psychol., 28, 205, 10.1016/0022-2496(84)90027-0 · DOI
- Saaty, 1986, Axiomatic foundation of the Analytic Hierarchy Process, Mgmt Sci., 32, 841, 10.1287/mnsc.32.7.841 · DOI
- Saaty, 1987, Rank generation, preservation and reversal in the Analytic Hierarchy Process, Decis. Sci., 10.1111/j.1540-5915.1987.tb01514.x · DOI
- Aczél, 1987, Synthesizing judgements: a functional equations approach, Mathl Modelling, 9, 311, 10.1016/0270-0255(87)90487-8 · DOI
- Vargas, 1982, Reciprocal matrices with random coefficients, J. math. Modelling, 3, 69, 10.1016/0270-0255(82)90013-6 · DOI
- Zahedi, 1986, The Analytic Hierarchy Process—a survey of the method and its applications, Interfaces, 16, 96, 10.1287/inte.16.4.96 · DOI
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“…condition (i.e., one bundle maximises BCR all and another maximises BCR low ), the best bundle is selected based on stakeholder preferences for maximising BCR all versus BCR low , which can be obtained using some sort of elicitation procedure (e.g., the analytical hierarchy process; Saaty 1987).”
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“The second step was to compare pairwise using the nine-point importance scale as shown in Table 3 [46].”
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“…aromatic glutinous rice in Pi Pat, Ong Trung Khanh glutinous rice, fragrant squash, Bao Lac plum, Dong Khe pear, Tra Linh citrus, Trung Khanh chestnut, bamboo, macadamia, Phja Den tea, Thach An black agarwood, etc. (Saaty 1987 ), the results are as follows: The random consistency index CI is 0.065.”
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“Evaluation of factors [39,42].”
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“AHP helps decision-makers set priorities and make optimal choices by breaking down complex decisions into a series of pairwise comparisons, then synthesizing the results to include both qualitative and quantitative criteria [18].”
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“These include TOPSIS [15], VIKOR [16], PROMETHEE [17], COPRAS [18], AHP [19], ELECTRE [20], and modified approaches, all designed to help identify the optimal alternative or rank decision options based on their relative preference.”
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“In addition to calculating weights according to the AHP methodology outlined by Saaty [19], the fuzzy weights using the triangular fuzzy number methodology [49] can be calculated using the geometric mean [50], as well as the crisp or defuzzified and normalized defuzzified weights.”
BackgroundMethodInfluentialAli, M. J., & Rahaman, M. A. (2024) · GeoJournal · doi:10.1007/s10708-024-11168-6 · Cited by 6
“This study adopted the AHP model as developed by Thomas Saaty (Ali & Ahmad, 2019; Saaty, 1977, 1987).”
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“According to [34], the CR values not exceeding 0.1000 are considered consistent and the results are usable.”
BackgroundInfluentialSwitching to hydrogen fuel adoption in developing economies: A case study of Vietnam
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Critical Indicators for Sustainable Coconut Supply Chain Using Analytical Network Process
Sanusi, Bareduan, S. A., Larisang, & Hamid, A. (2024) · International Journal of Sustainable Development and Planning · doi:10.18280/ijsdp.190508 · Cited by 4
“ANP model has some advantages compared to AHP [20, 21].”
InfluentialCriticality Analysis of A Sea Port`s Shore Cranes Using Analytic Hierarchy Process Method
Đelović, D. (2024) · The Open Transportation Journal · doi:10.2174/0126671212293095240314040205 · Cited by 4
He, X.-L., Wang, J., & Liang, Y. (2024) · Geriatric Nursing · doi:10.1016/j.gerinurse.2024.04.025 · Cited by 4
Urban Flood Hazard Zonation in Bengaluru Urban District, India
Dwarakish, G. S., Pai, B., & Rajeesh, R. (2024) · Journal of Landscape Ecology · doi:10.2478/jlecol-2024-0006 · Cited by 4
Kaushal, A., Karimi, M. E., Nazari, R., Opare, K. N., Museru, M. L., & Nikoo, M. R. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.124286 · Cited by 6
Shu, Z., Yuan, F., Wang, J., Zang, J., Li, B.-Z., Shahrestani, M., Essah, E., Awbi, H., Holland, M., Fang, F., et al. (2024) · Indoor Air: International Journal of Indoor Environment and Health · doi:10.1155/2024/5531325 · Cited by 4
“For reliable results, the consistency ratio ( CR ) should not exceed 0.10 [113].”
BackgroundInfluentialShifaw, E., Sha, J., Li, X., Bao, Z., Ji, J., Huang, J., Kassaye, A. Y., & Hao, Z. (2024) · Human and Ecological Risk Assessment An International Journal · doi:10.1080/10807039.2024.2358317 · Cited by 5
“Then, the Analytic Hierarchy Process (AHP) was used to determine the factors’ weight (Saaty 1987) (Table 3).”
MethodYoshe, A. K. (2024) · Sustainable Water Resources Management · doi:10.1007/s40899-023-01026-7 · Cited by 4
“The steps used to assign weights via the AHP method are shown below: 1.”
InfluentialRetractedBiswas, P., & Niyogi, J. G. (2024) · Upravlenets · doi:10.29141/2218-5003-2024-15-1-4 · Cited by 4
Evaluating Agricultural Sustainability in Afghanistan (Case Study: Nijrab District)
Rezaei, H., Rezaee, A., Radmand, H., & Safdary, A. (2024) · Process Integration and Optimization for Sustainability · doi:10.1007/s41660-024-00397-4 · Cited by 4
“It is highly esteemed for its effectiveness in tackling complex decision-making problems (Leal 2020) aiding decision-makers in selecting the optimal choice based on multiple criteria and sub-criteria (R. W. Saaty 1987).”
Hernández, W. G., Maritza, P. R., & Marcelina, M. G. (2024) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2024.101479 · Cited by 4
Chen, K.-Z., Ding, L., Huang, S., Guo, R.-Q., & Liu, Y.-J. (2023) · Cold Regions Science and Technology · doi:10.1016/j.coldregions.2023.104089 · Cited by 4
Das, B., & Vema, V. (2023) · Environmental Earth Sciences · doi:10.1007/s12665-023-11279-2 · Cited by 4
“The comparison matrix was populated using the Saaty’s nine-point scale (Saaty 1987) based on the field knowledge and expert opinion.”
MethodAlmunem, R. D. A., Muhsen, D. H., Haider, H. T., & Khatib, T. (2023) · Energy Exploration & Exploitation · doi:10.1177/01445987231211609 · Cited by 4
“It is clearly shown in Table 7 that the proposed algorithm exceeds other algorithm considering these the afore-mentioned evaluation merits, Moreover, the AAE, which represents error of every data point of computed current and experimental current is shown in Figure 6.”
MethodInfluentialA tailored approach to horizon scanning for cancer medicines
Soon, J. A., To, Y., Alexander, M., Trapani, K., Ascierto, P., Athan, S., Brown, M. P., Burge, M., Haydon, A., Hughes, B., et al. (2023) · Journal of Cancer Policy · doi:10.1016/j.jcpo.2023.100441 · Cited by 4
“AHP was used to elicit weights of relative importance [11].”
BackgroundMethodInfluentialDescribing the Urban Jungle: A Multicriteria Urbanization Index for the Amazon
Cabrera-Barona, P., Albán, D., & Durán, G. (2023) · ISPRS Int. J. Geo Inf. · doi:10.3390/ijgi12100430 · Cited by 4
Barrera-Causil, C., & González-Montañez, J. (2023) · Forests · doi:10.3390/f14091913 · Cited by 4
A Multi-Criteria Approach to Evaluate Sustainability: A Case Study of the Navarrese Wine Sector
Mainar-Toledo, M. D., Palmero, M. G., Díaz-Ramírez, M., Mendioroz, I., & Zambrana-Vásquez, D. (2023) · Energies · doi:10.3390/en16186589 · Cited by 4
Chu, T., Yan, H., Li, P., Lu, X.-M., & Gao, X. (2023) · Spatial Cogn. Comput. · doi:10.1080/13875868.2023.2234074 · Cited by 4
“(cid:0) � Cartographic generalization generally involves many criteria, and many studies (Han et al., 2020; R. Saaty, 1987) have demonstrated that the analytic hierarchy process (AHP) may simulate choices made by experts (Kronenfeld et al., 2020).”
Background
Metadata
- Authors
- Saaty, R. W.
- Corresponding author
- Saaty, R.W.
- Venue
- Mathematical Modelling
- Publisher
- Elsevier BV
- Published
- 1987
- Volume
- 9
- Issue
- 3-5
- Pages
- 161-176
- ISSN
- 0270-0255 (ISSN-L)
- OpenAlex
- W2046078150
- Cited by
- 5,380
- References
- 15
- Citations by year
- 2026: 623 · 2025: 735 · 2024: 697 · 2023: 662 · 2022: 518 · 2021: 481 · 2020: 382 · 2019: 284 · 2018: 226 · 2017: 173 · 2016: 124 · 2015: 107 · 2014: 62 · 2013: 52 · 2012: 39
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Mathematical Modelling (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
- Social Sciences › Business, Management and Accounting › Strategy and Management › Strategic Planning and Analysis
- Keywords
- analytic hierarchy process, ratio scale, measurement theory, axioms, inconsistency, rank preservation, reversal, absolute measurement, relative measurement, multi-criteria decision making
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