TY - JOUR
T1 - A Method for Evaluating Collaborative Effectiveness of Multiple Crew Members in Complex Collaborative Tasks
AU - Chu, Jianjie
AU - Liu, Xinyu
AU - Yu, Mengmeng
AU - Li, Xinyan
N1 - Publisher Copyright:
© 2026, Beijing Institute of Technology. All rights reserved.
PY - 2026
Y1 - 2026
N2 - To address the problems of limited research on evaluating team collaboration capabilities in the military and the weak linkage with combat tasks, a multi-crew collaboration effectiveness evaluation method based on the fuzzy analytic network process (FANP) was developed, using armored vehicle crew collaboration as the context. First, complex collaborative tasks were decomposed hierarchically into a “high cohesion, low coupling” task set to define capability requirements. Then, leveraging team workload theory, a collaborative effectiveness index system was established, and FANP was used to model the intricate interdependencies among indice, enabling evaluation through capability satisfaction analysis and visual capability mapping. Finally, a scenario-based case study validated the method’s usability and effectiveness, demonstrating its ability to accurately reveal strengths and gaps in collaboration, optimize team composition, and support dynamic strategy adjustments for enhanced operational performance.
AB - To address the problems of limited research on evaluating team collaboration capabilities in the military and the weak linkage with combat tasks, a multi-crew collaboration effectiveness evaluation method based on the fuzzy analytic network process (FANP) was developed, using armored vehicle crew collaboration as the context. First, complex collaborative tasks were decomposed hierarchically into a “high cohesion, low coupling” task set to define capability requirements. Then, leveraging team workload theory, a collaborative effectiveness index system was established, and FANP was used to model the intricate interdependencies among indice, enabling evaluation through capability satisfaction analysis and visual capability mapping. Finally, a scenario-based case study validated the method’s usability and effectiveness, demonstrating its ability to accurately reveal strengths and gaps in collaboration, optimize team composition, and support dynamic strategy adjustments for enhanced operational performance.
KW - capability satisfaction
KW - complex cooperative task
KW - fuzzy-analytic network process
KW - multi-crew cooperation
KW - team collaboration
UR - https://www.scopus.com/pages/publications/105027633649
U2 - 10.15918/j.tbit1001-0645.2025.109
DO - 10.15918/j.tbit1001-0645.2025.109
M3 - 文章
AN - SCOPUS:105027633649
SN - 1001-0645
VL - 46
SP - 179
EP - 191
JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
IS - 2
ER -