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Multi‐criteria decision making – an approach to setting priorities in health care
Author(s) -
Nobre Flávio Fonseca,
Trotta Lilian Terezinha Ferreira,
Gomes Luiz Flávio Autran Monteiro
Publication year - 1999
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19991215)18:23<3345::aid-sim321>3.0.co;2-7
Subject(s) - multiple criteria decision analysis , viewpoints , set (abstract data type) , computer science , operations research , decision analysis , pairwise comparison , group decision making , management science , procurement , decision maker , analytic hierarchy process , decision support system , process (computing) , data mining , artificial intelligence , mathematics , business , psychology , economics , statistics , marketing , art , social psychology , visual arts , programming language , operating system
The objective of this paper is to present a multi‐criteria decision making (MCDM) approach to support public health decision making that takes into consideration the fuzziness of the decision goals and the behavioural aspect of the decision maker. The approach is used to analyse the process of health technology procurement in a University Hospital in Rio de Janeiro, Brazil. The method, known as TODIM, relies on evaluating alternatives with a set of decision criteria assessed using an ordinal scale. Fuzziness in generating criteria scores and weights or conflicts caused by dealing with different viewpoints of a group of decision makers (DMs) are solved using fuzzy set aggregation rules. The results suggested that MCDM models, incorporating fuzzy set approaches, should form a set of tools for public health decision making analysis, particularly when there are polarized opinions and conflicting objectives from the DM group. Copyright © 1999 John Wiley & Sons, Ltd.