Abstract

In a process involving decision making, both humans and machines prefer the data to be in a yes or no format. A number by itself to represent a quantifiable entity may not have enough value to make a decision until the data has been triangulated with other interrelated quantitative and qualitative data points and normalized onto a common scale. Our framework mentioned here in the proposal, helps in normalizing such quantitative and qualitative data from various data sources to a set of common metric for decision making.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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