Here I propose a decision making frame work of lighting product assessment tool, by using data science, machine learning approach.
Problem:
Perceived Quality is a SUBJECTIVE characteristic which relates to personal opinion, feeling of the quality of product.
Solution:
To QUANTILIZE subjective opinions, and transform it to OBJECTIVE assessment
The machine learning approach can help us understand the underlying pattern within the well acquired data set, help us to find out which visual aspect factor contributes most to good quality, descent and elegant design, comfort feeling.
Benefits:
Make the best use of visual aspect simulation, and test data
Save cost of launching prototype which doesn't fulfill good visual perceptions quality
Improve lighting products development efficiency
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