Fuzzy Multiattribute Consumer Choice among Health Insurance Options
Journal article, 2016

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.

AHP

fuzzy sets

options

multiattribute

health insurance

TOPSIS

Author

Asli Suder

Istanbul Technical University

Cengiz Kahraman

Istanbul Technical University

Ebru Turanoglu Bekar

Dokuz Eylul University

Technological and Economic Development of Economy

1392-8619 (ISSN)

Vol. 22 1 1-20

Subject Categories

Other Social Sciences not elsewhere specified

Public Health, Global Health, Social Medicine and Epidemiology

DOI

10.3846/20294913.2014.984252

More information

Latest update

7/18/2023