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Imagine you are in the process of creating a model of expert's preferences for selecting a computer system to purchase

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Imagine you are in the process of creating a model of expert's preferences for selecting a computer system to purchase. Your expert indicated that there are three important characteristics of potential systems: price ($3000+, $2000-$3000, $1000-$2000, <$1000), technical support (excellent, good, medium, bad), and included features (all, selected, none).
a)Conversation with your expert. How would you acquire values of levels for those attributes? Present example of a complete conversation for the case of technical support using double-anchored method (you can invent some reasonable answers - there is no need to perform the actual interview). Get values of levels for all other attributes and include them in the model.
b)Acquire weights of the attributes. Present hypothetical conversation with the expert (you can invent some reasonable answers). Present the complete model.
c)Create three hypothetical examples of systems and evaluate them according to the model. Present details of all calculations using additive aggregation rule.
d)What are important assumptions for value models to work? How to check them?