Fuzzy multiattribute consumer choice among health insurance options
| Autor: | Cengiz Kahraman, Asli Suder, Ebru Turanoglu Bekar |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Technological and Economic Development of Economy, Vol 22, Iss 1 (2016) |
| Druh dokumentu: | article |
| ISSN: | 20294913 2029-4913 2029-4921 |
| DOI: | 10.3846/20294913.2014.984252 |
| Popis: | People buy insurance to protect themselves against possible financial loss in the future. Health insurance provides protection against the possibility of financial loss due to health care use. A selection among health insurance options is a multiattribute decision making problem including many conflicting criteria. This problem can be better solved using the fuzzy set theory since human decision making is generally based on vague and linguistic data. We propose an integrated methodology composed of fuzzy AHP and fuzzy TOPSIS to select the best health insurance option. The considered option types, Health Savings Account (HSA), Flexible Spending Accounts (FSA), and Health Reimbursement Arrangement (HRA) are evaluated using eight different criteria under fuzziness. A sensitivity analysis is also realized. First published online: 18 Jun 2015 |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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