Effectiveness evaluation for single helicopter forest firefighting training based on ANP

Existing effectiveness evaluation methods for single helicopter forest firefighting training only aim at process of firefighting and getting water, ignore contributions of other processes during task to the training effectiveness, and assume mutual independence of indexes, which leads to incomplete evaluation index system, unreasonable distribution of indexes' weights and low reliability of evaluating results. The event-activity flow established by using theory of discrete event system modeling divides the task of single helicopter forest firefighting training into several related activities; the method mapping from activities analyzes elements of activities' effectiveness, transforms them into effectiveness evaluation indexes, and finally establishes all-sided two-dimensional effectiveness evaluation index system; with the dependency and relationship between evaluation indexes considered, the use of analytic network process (ANP) reallocates the weights of indexes reasonably, making evaluation method more suitable for actual situation of the problem and results of evaluation more reliable. The analysis of a case based on Super Decisions (SD) indicates that the proposed effectiveness evaluation method possesses feasibility and reference value in engineering applications.