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Dataset Description

  1. What is the domain of the problem about?

    The domain of the problem is about choosing a travel health insurance plan for a trip to USA.

  2. What is the source of the data?

    The website www.visitorscoverage.com.

  3. What is the point of view of the decision maker?

    The decision maker tries to choose the most comprehensive and cost-effective travel health insurance plan.

  4. What is the number of alternatives considered? Were there more of them in the original data set?

    There are 14 alternatives considered. There are much more health insurance plans available on the market, but only the top 14 plans on the website were included in the data set.

  5. Describe one of the alternatives considered (give its name, evaluations, specify preferences for this alternative)

    Name: CoverAmerica-Gold

    Evaluations:

    Criterion name Value
    Medical Benefits $50,000
    Deductible $250
    Payment for repatriation $25,000
    Payment for medical evacuation $0
    For J1 Visa No
    Price $198.86
  6. What is the number of criteria considered? Were there more of them in the original data set?

    There are 6 criteria considered. There are much more criteria that could be considered, but those are the most important for DM.

  7. What are the domains of the individual criteria (discrete / continuous)? Note: in the case of continuous domains, specify the range of the criterion’s variability, in the case of others: list the values. What is the nature (gain / cost) of the individual criteria?

    All criteria have continuous domains except "For J1 Visa", which is a binary criterion (Yes/No). The nature of the criteria is as follows:

    • Medical Benefits: Gain (50000 - 1000000)
    • Deductible: Cost (0 - 500)
    • Payment for repatriation: Gain (5000 - 100000)
    • Payment for medical evacuation: Gain (0 - 1000000)
    • For J1 Visa: Binary (Yes/No)
    • Price: Cost (126.88 - 653.92)

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A project for decision analysis classes implementing the UTA and AHP methods.

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