Loess slope section optimization based on comprehensive fuzzy recognition
She Xue-sen · Journal of Xi'an University of Science and Technology · 2007
In order to achieve the system optimization and reduce the subjective effect,the model of cutting loess slope′s section optimization decision based on subjective and objective weights fuzzy recognition is put forward.After importance orderly fuzzy judgment matrix and superiority orderly fuzzy judgment matrix were determined,the subjective and objective weights were synthesized;the model of subjective and objective weights synthesized fuzzy recognition based on the minimum square sum of weighs deviation was set up.Then,the cutting loess slope′s section optimization decision can be obtained.The model can reduce the subjective judgment,and decrease the errors between the objective weights and the reality.