Abstract: A synthetic discrimination from global to local through improved TOPSIS (technique for order preference by similarity to an ideal solution， TOPSIS) coupled with point safety factors (PSF) was proposed to enhance the objective of goaf stability analysis. Firstly， the TOPSIS method was introduced and improved for global stability analysis. The improved TOPSIS(ITOPSIS) has the following merits: ①Quantitative description objectiveness of qualitative indexes were enhanced through interval-valued intuitionistic fuzzy sets(IVIFS); ②Relative closeness formula was improved to avoid the indiscernibility of TOPSIS; ③Absolute ideal point and improved fuzzy analytic hierarchy process objective (IFAHP) were used to avoid the reverse phenomenon caused by the change of ideal point and weights respectively; ④ Stable grade division was realized and ITOPSIS was applied on 10 groups mined-out area samples in a certain mine. Thus， PSF was used on 2^#，4^# goaf for local stability discrimination and local stability state can be reflected through PSF graph. The results provide a better comprehensive approach to goaf stability analysis globally and locally.

Key words: mined-out area； stability, comprehensive discrimination； ITOPSIS； interval-valued intuitionistic fuzzy set； point safety factor