TY  - EJOU
AU  - Zhu, Sijia 
AU  - Li, Yuhan 
AU  - Balaji, Prasanalakshmi 
AU  - Thiyagarajan, Akila 
AU  - Aluvalu, Rajanikanth 
AU  - Liu, Zhe 

TI  - An Improved Interval-Valued Picture Fuzzy TOPSIS Approach Based on New Divergence Measures for Risk Assessment
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2025
VL  - 144
IS  - 2
SN  - 1526-1506

AB  - While interval-valued picture fuzzy sets (IvPFSs) provide a powerful tool for modeling uncertainty and ambiguity in various fields, existing divergence measures for IvPFSs remain limited and often produce counterintuitive results. To address these shortcomings, this paper introduces two novel divergence measures for IvPFSs, inspired by the Jensen-Shannon divergence. The fundamental properties of the proposed measures—non-degeneracy, symmetry, triangular inequality, and boundedness—are rigorously proven. Comparative analyses with existing measures are conducted through specific cases and numerical examples, clearly demonstrating the advantages of our approach. Furthermore, we apply the new divergence measures to develop an enhanced interval-valued picture fuzzy TOPSIS method for risk assessment in construction projects, showing the practical applicability and effectiveness of our contributions.
KW  - Interval-valued picture fuzzy sets; divergence measure; Jensen-Shannon divergence; TOPSIS; risk assessment

DO  - 10.32604/cmes.2025.068734