A Hybrid PCA-GP Model for Attack Helicopter Selection

Document Type : Research Paper


1 Assistant Prof. in Production and Operations Management, University of Qom, Iran

2 M.Sc. Student in Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Assistant Prof. in Industrial Engineering, University of Tehran, Iran


This study provides an alternative approach to decision
making and its application in selecting the best attack helicopter. In this
way, Principal Component Analysis (PCA) is used to find the weights of
the criteria after identifying the effective criteria for the evaluation and
selection of attack helicopters. These weights, then, applied in the
objective function of Goal Programming (GP) model. Finally, the best
option was selected through implementing GB model per corresponding
parameters for the available options. Several advantages of the model,
such as less reliance on user’s perceptions and subjective opinions,
greater emphasis on real data, removing multicollinearity among the
evaluation criteria, significant reduction of evaluation problem
dimensions without much loss of information, flexibility in the
application of quantitative and qualitative criteria, and ease of application
show the proposed approach is more capable in solving the evaluation
and selection problem.