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In order to develop competi ti ve and high performance/cost ratio of digital binoculars, design scheme should b e optimized in term of technical capacity, economic benefit, product performance , risk management, etc. The common optimization method is limited in qualitative analysis, and the parameter optimization method is limited in obtaining optimal parameter only from technical side. Each method has its limitation. Based on th e analysis of digital binoculars parameters, optional design schemes are laid do wn. Analytic hierarchy process combined the qualitative analysis with the quant itative analysis together. The design schemes are optimized, and result is worke d out.
In order to develop competi ti ve and high performance / cost ratio of digital binoculars, design scheme should be optimized in term of technical capacity, economic benefit, product performance, risk management, etc. The common optimization method is limited in qualitative analysis, and Based on th e analysis of digital binoculars parameters, optional design schemes are laid do wn. Analytic hierarchy process combined the qualitative analysis with the quant itative analysis together. The design schemes are optimized, and result is worke d out.