*3.1. Entropy Weights Calculation*

In most of the survey-based research, respondent characteristics are assumed to be constant across respondents. This assumption should be critically accepted since it is just hypothetically possible that all the respondents would be able to read and interpret survey items unanimously. Since such uncertainty might meaningfully affect the quantity of information in the responses, VASMA weighting is constructed in a specific way, ensuring that valuations providing different amounts of information would be treated differently [51]. In 2016, Friesner et al. [52] made an extensive analysis of how entropy-based information theory might be applied to evaluate survey items with multiple-choice responses. A similar methodology is going to be applied to calculate entropy weights and to deal with the ambiguity among respondents.
