Aiming at the problem that it is difficult to quantify the correspondence between human behaviours and emotions in large-scale crowd evacuation in indoor public places during emergencies, a crowd evacuation method based on crowd panic emotions is proposed. Firstly, a crowd social force model based on panic is proposed based on the basic social force model, and the calculation method of individual panic is defined based on the personality model. Then, crowd panic force is added to the original social force model, and the emotion is taken as a major factor affecting crowd movement, so that crowd panic can more realistically respond to the psychological and behavioural characteristics of the crowd and reveal the crowd evacuation movement law. Finally, the relationship between crowd density, exit width, number of exits and crowd evacuation is analysed to study the crowd evacuation problem in the ticket hall, and the results reflect the indoor crowd evacuation law more realistically.

In objective-weighted multi-criteria decision-making (MCDM), a deletion-effect weight is not automatically identifiable when the normalization scale and its reference boundary are determined by the same candidate set. We develop a conditional, auditable framework for fixed-candidate decision matrices with benefit and cost criteria. Log-Ratio Composite Normalization (LRCN) maps each direction-aligned positive value to its log ratio relative to a declared criterion boundary, preserving within-criterion ratio gaps. LRCN-conditioned Deletion-Effect Weighting (LRCN-DEW) assigns each criterion a normalized weight proportional to the change in equal-weight row score under leave-one-criterion-out recalculation. The framework makes the structural, resolution, and candidate-set conditions for interpreting these effects explicit. Deterministic identities, controlled perturbations, ten public matrices, and semi-synthetic generators examine numerical consistency, boundary behavior, module coupling, and recovery. The frozen-boundary coordinate preserves the audited pair gap ($1.000$ versus $0.009$ after re-estimating a min–max boundary). The proposed LRCN–LRCN-DEW configuration is favored under the declared ratio-scale generator, with recovery and Kendall’s agreement of $0.9332$ and $0.9716$, respectively, but other configurations lead under additive noise and in some public cases. The public matrices are used to examine numerical portability; their criterion-level ratio semantics and native measurement resolution were not verified. These findings show that the method provides boundary-consistent and reproducible weighting, while its comparative advantage depends on the measurement and perturbation mechanism.