Analytic hierarchy process (AHP)
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Derives criteria weights from pairwise comparisons; CR checks their consistency.
LaTeX: A\, w = \lambda_{\max}\, w,\quad CR = \frac{(\lambda_{\max} - n)/(n - 1)}{RI}
Key findings
- Analytic hierarchy process (AHP) was mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #75 of the 104 equations and models mentioned.
- By journal category: AI (4), Finance (2) and Operations Research (1).
- Most of them appeared in Central European Journal of Operations Research (1), Journal of Behavioral and Experimental Finance (1) and Journal Of Big Data (1).
- Often mentioned together with TOPSIS (3), Logistic regression (logit) (2) and Structural equation modeling (SEM) (2).
- Datasets named in the same papers: OR-Library (2), S&P 500 (1) and Economic Policy Uncertainty index (1).
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-15 | Investigating the concept of consistency and an inconsistency index in two- and three-option stochastic paired comparison models | Central European Journal of Operations Research | Anna Tóth-Merényi, Csaba Mihálykó, Éva Orbán-Mihálykó | University of Pannonia |
| 2026-10-08 | Behavioral drivers of cryptocurrency markets: A systematic review | Journal of Behavioral and Experimental Finance | Sebastian Steindl, Hans Rüdiger Kaufmann, Bernd Britzelmaier | University of Nicosia; Pforzheim University of Applied Sciences |
| 2026-10-03 | TED-FinRisk: a hybrid topic-enhanced framework for typologizing illegal fundraising risk from multi-source case texts | Journal Of Big Data | Wenchuan Kuang, Yusiyuan Chen, Chun Yang et al. | Fudan University; Pennsylvania State University |
| 2026-10-03 | Evaluating export barrier reduction strategies using an integrated fuzzy multi-criteria decision-making (MCDM) framework | International Review of Economics & Finance | Yurdagül Meral, Serkan Eti, Serhat Yuksel et al. | Istanbul Medipol University; Arkın Yaratıcı Sanatlar ve Tasarım Üniversitesi; Marmara University; … |
| 2026-10-02 | Cognitive Causal Modeling of Blockchain Adoption in Agri-Food Supply Chains: A Fuzzy-DEMATEL Approach | Cognitive Computation | Ali Ala, Behnam Malmir, Hamed Baziyad et al. | Technological University Dublin; Saveetha University; University of Illinois Urbana-Champaign; … |
| 2026-10-01 | Increasing resilience of continuum robots via motion planning algorithms | Neural Computing and Applications | Oxana Shamilyan, Ievgen Kabin, Zoya Dyka et al. | Leibniz Institute for High Performance Microelectronics; Brandenburg University of Technology Cottbus-Senftenberg; National Academy of Sciences of Ukraine; … |
| 2026-10-01 | Learning causal structures from LLM-AHP comparisons for interpretable forecasting | Knowledge-Based Systems | Lan Yang, Xingchen Hu, Witold Pedrycz et al. | Xidian University; National University of Defense Technology; University of Alberta; … |