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Three-way decision oriented rational behavior multi-attribute decision-making
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AI
DOI：10.1016/j.inffus.2025.103538.png)
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Abstract
En 中文
• Attribute weights are assessed by combining generalized rough sets and TOPSIS. • A pair of utility functions is introduced to act as players to play in game. • A payoff matrix is constructed by fusing the weighted regret and rejoice values. • All rules for decisions are extracted based on optimal Nash equilibrium solutions. • Simulation experiments on two benchmark datasets verify the superiority of GBMADM.
Keywords:
attribute weights
generalized rough sets
TOPSIS
utility functions
Nash equilibrium
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