Evaluating the effects of uncertainty in interval pairwise comparison matrices
From MaRDI portal
Publication:6064251
DOI10.1016/j.ijar.2023.109034OpenAlexW4387007914MaRDI QIDQ6064251
Sándor Bozóki, Luca Faramondi, Roberto Setola, Gabriele Oliva
Publication date: 12 December 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2023.109034
uncertaintymulticriteria decision analysisMonte Carlo simulationinterval pairwise comparison matrixranking stability
Decision theory (91B06) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Cites Work
- Unnamed Item
- The analytic hierarchy process with stochastic judgements
- An application of incomplete pairwise comparison matrices for ranking top tennis players
- Fuzzy analytic hierarchy process: a logarithmic fuzzy preference programming methodology
- On optimal completion of incomplete pairwise comparison matrices
- Eigen weight vectors and least-distance approximation for revealed preference in pairwise weight ratios
- Incorporating the uncertainty of decision judgements in the analytic hierarchy process
- Approximate articulation of preference and priority derivation
- Acceptable consistency analysis of interval reciprocal comparison matrices
- A note on the analysis of subjective judgement matrices
- Uncertainty and rank order in the analytic hierarchy process
- Deriving weights from pairwise comparison ratio matrices: An axiomatic approach
- A scaling method for priorities in hierarchical structures
- A comparison of two methods for determining the weights of belonging to fuzzy sets
- The analytic hierarchy process in an uncertain environment: A simulation approach
- A multicriteria evaluation of methods for obtaining weights from ratio- scale matrices
- A common framework for deriving preference values from pairwise comparison matrices
- A discussion on extent analysis method and applications of fuzzy AHP
- Sparse and distributed Analytic Hierarchy Process
- A general unified framework for interval pairwise comparison matrices
- Ranking by eigenvector versus other methods in the analytic hierarchy process
- A fuzzy approach to deriving priorities from interval pairwise comparison judgements
- Estimating priorities from relative deviations in pairwise comparison matrices
- Robustness to rank reversal in pairwise comparison matrices based on uncertainty bounds
- On the extent analysis method for fuzzy AHP and its applications
- Interval weight generation approaches based on consistency test and interval comparison matrices
- Two new cases of rank reversals when the AHP and some of its additive variants are used that do not occur with the multiplicative AHP
- Alternative modes of questioning in the analytic hierarchy process
This page was built for publication: Evaluating the effects of uncertainty in interval pairwise comparison matrices