Fuzzy multiattribute consumer choice among health insurance options

Cengiz Kahraman*, Asli Suder, Ebru Turanoglu Bekar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalTechnological and Economic Development of Economy
Volume22
Issue number1
DOIs
Publication statusPublished - 2 Jan 2016

Bibliographical note

Publisher Copyright:
© 2016 Vilnius Gediminas Technical University (VGTU) Press.

Keywords

  • AHP
  • fuzzy sets
  • health insurance
  • multiattribute
  • options
  • TOPSIS

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