FUZZY GOAL PROGRAMMING METHOD FOR OPTIMUM ALLOCATION OF RESOURCES IN HEALTH CARE ORGANIZATION

Abstract

This study proposed a fuzzy mixed goal programming model
addressing health care organization’s resource allocation problem in a fuzzy
environment. Compared to other deterministic techniques, the formulation
can effectively handle the vagueness and imprecision in the statement of the
objectives and ensure that the more importance of a fuzzy goal, the higher
achievement degree it can obtain. Further, the formulation can easily be
extended to other service organizations when the decision variables are
vague and decision makers need to determine a desired achievement degree
and preemptive priority for each of the fuzzy goals based on the relative
importance of the goals. An example case with realistic data from the
Turkeys health care organization structure showed the effectiveness and
flexibility of our model to handle real world problems. With more
information about the ser- vice structure and behaviors of healthcare
organization, the system can set clear priority values as fuzzy weight (or
importance) in future studies.