南京大学学报(自然科学版) ›› 2023, Vol. 59 ›› Issue (4): 600609.doi: 10.13232/j.cnki.jnju.2023.04.007
王冰洁1, 张超1,2(), 李德玉1,2, 马瑾男3, 王渊3
Bingjie Wang1, Chao Zhang1,2(), Deyu Li1,2, Jinnan Ma3, Yuan Wang3
摘要:
为了探索区间二型模糊背景下的多属性群决策方法,以多粒度概率粗糙集为基础,结合MULTIMOORA(Multi?Objective Optimization by Ratio Analysis Plus the Full Multi?Plicative Form)与证据融合理论,发展了一种基于区间二型模糊信息的多粒度证据融合决策模型.首先,提出多粒度区间二型模糊概率粗糙集模型;然后,通过离差最大化法和熵权法计算决策者权重和属性权重,依据多粒度概率粗糙集和MULTIMOORA法建立区间二型模糊多属性群决策模型,通过源自D?S证据理论的证据融合方法融合得出决策结果.通过钢铁行业耗能的实例,证明提出方法的可行性与有效性,总体上,提出的决策模型具备一定的容错力,有助于获得强解释力的稳健型决策结果.
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