A Multi-Criteria Evaluation Framework for Fighter Cockpit Ergonomics Based on Integrated Fuzzy Combination Weighting and Fuzzy Cocoso with Bonferroni Functions

The ergonomic design of fighter cockpits is critical to reducing pilot loads and significantly impacts flight safety. However, the ergonomic design elements of the fighter cockpit are unclear and incomplete, and no unified framework exists to evaluate the cockpit’s ergonomics during the preliminary design stage. Thus, an integrated framework is proposed to solve the cockpit’s ergonomics evaluation problem during the preliminary design stage. The integrated framework consists of a hybrid weight determination model using fuzzy level-based weight assessment (F-LBWA) and fuzz entropy (F-Entropy), and a decision-making model using fuzzy combined compromise solution with Bonferroni functions (F-CoCoSo’B) method. During the framework’s application, the pilot’s operation of the fighter is simulated, and the pilot’s posture is evaluated by eight criteria of the bearing capacities of the hip, shoulder, wrist, knee, and lower back force. The ergonomic performances of different fighter cockpit alternatives are ranked by using the proposed framework based on the pilot’s dynamic operating posture. The results indicate that the evaluation framework has good rationality and robustness, which provides new insights into fighter cockpit optimization and development.

Authors

Institutions

Publication Details

Journal
International Journal of Information Technology & Decision Making
Published
2025-06-27
DOI
https://doi.org/10.1142/s0219622025500634
Primary Topic
Evaluation Methods in Various Fields
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-Criteria Evaluation Framework for Fighter Cockpit Ergonomics Based on Integrated Fuzzy Combination Weighting and Fuzzy Cocoso with Bonferroni Functions

Yunfeng Chen, Huining Pei, Zhonghang Bai, Jiali Sun et al.
International Journal of Information Technology & Decision Making
Evaluation Methods in Various Fields
article

A Multi-Criteria Evaluation Framework for Fighter Cockpit Ergonomics Based on Integrated Fuzzy Combination Weighting and Fuzzy Cocoso with Bonferroni Functions

Yunfeng Chen, Huining Pei, Zhonghang Bai, Jiali Sun, Jianhua Cao, Ziyu Wang
article en

Abstract

The ergonomic design of fighter cockpits is critical to reducing pilot loads and significantly impacts flight safety. However, the ergonomic design elements of the fighter cockpit are unclear and incomplete, and no unified framework exists to evaluate the cockpit’s ergonomics during the preliminary design stage. Thus, an integrated framework is proposed to solve the cockpit’s ergonomics evaluation problem during the preliminary design stage. The integrated framework consists of a hybrid weight determination model using fuzzy level-based weight assessment (F-LBWA) and fuzz entropy (F-Entropy), and a decision-making model using fuzzy combined compromise solution with Bonferroni functions (F-CoCoSo’B) method. During the framework’s application, the pilot’s operation of the fighter is simulated, and the pilot’s posture is evaluated by eight criteria of the bearing capacities of the hip, shoulder, wrist, knee, and lower back force. The ergonomic performances of different fighter cockpit alternatives are ranked by using the proposed framework based on the pilot’s dynamic operating posture. The results indicate that the evaluation framework has good rationality and robustness, which provides new insights into fighter cockpit optimization and development.

International Journal of Information Technology & Decision MakingVol. 25(02)
Hebei University of Technology (CN)
Natural Science Foundation of Hebei Province
Affordable and clean energy
Openalex Percentile: Top 92%
Evaluation Methods in Various Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.