Jie Ke versus AlphaGo: a ranking approach using decision making method for large-scale data with incomplete information

DOI10.1016/j.ejor.2017.07.030zbMath1376.62139OpenAlexW2734806994MaRDI QIDQ1681349

Gang Kou, Yi Peng, Xiangrui Chao, Tie Li

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.07.030

zbMATH Keywords

multiple criteria analysiscosine similarity measureincomplete fuzzy pair-wise comparison matrixranking large-scale alternatives

Mathematics Subject Classification ID

Applications of statistics (62P99) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (10)

University rankings from the revealed preferences of the applicants ⋮ How to determine the consensus threshold in group decision making: a method based on efficiency benchmark using benefit and cost insight ⋮ An impossibility theorem for paired comparisons ⋮ Large-scale group decision making model based on social network analysis: trust relationship-based conflict detection and elimination ⋮ A characterization of the logarithmic least squares method ⋮ Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: an application in financial inclusion ⋮ On the monotonicity of the eigenvector method ⋮ Axiomatizations of inconsistency indices for triads ⋮ Efficiency of the principal eigenvector of some triple perturbed consistent matrices ⋮ A limited cost consensus approach with fairness concern and its application

Uses Software

• AlphaGo

Cites Work

• Unnamed Item
• An intelligent decomposition of pairwise comparison matrices for large-scale decisions
• An application of incomplete pairwise comparison matrices for ranking top tennis players
• On optimal completion of incomplete pairwise comparison matrices
• A least deviation method to obtain a priority vector of a fuzzy preference relation
• Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process
• A goal programming approach to group decision making based on multiplicative preference relations and fuzzy preference relations
• A chi-square method for obtaining a priority vector from multiplicative and fuzzy preference relations
• Estimation of missing judgments in AHP pairwise matrices using a neural network-based model
• Fuzzy preference orderings in group decision making
• A Monte Carlo investigation of incomplete pairwise comparison matrices in AHP
• A method based on multiobjective optimization for deriving a ranking from a fuzzy preference relation.
• A new method for multiple criteria group decision making with incomplete weight information under linguistic environment
• A cosine maximization method for the priority vector derivation in AHP
• Estimating the missing values for the incomplete decision matrix and consistency optimization in emergency management
• Incomplete pairwise comparison and consistency optimization
• A comparative study of the numerical scales and the prioritization methods in AHP
• Rank from comparisons and from ratings in the analytic hierarchy/network processes
• Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting
• Compromising prioritization from pairwise comparisons considering type I and II errors
• Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
• Parameter Estimation in Large Dynamic Paired Comparison Experiments
• Fuzzy sets
• Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations.

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