Hospital Location Selection with Utility Range Based Interactive Group Decision Method

Abstract views: 18 / PDF downloads: 34


  • Halil ŞEN


Group Decision Making and Negotiation, Multi-Criteria Decision Making, Location Selection


Selecting a location for a potential hospital often decides the success or the failure of such a facility. It is thus important to assess the locations from multiple dimensions before selecting the site. This paper focuses on the multi factor evaluation of hospital sites using Utility Range
Based Interactive Group Decision Method. The process of site selection is inherently complicated. A careless site imposes exorbitant costs on
city budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improve
precision of decision making and reduce surplus side effects. Utility range based interactive group decision method is proposed for solving
this complex problem and selection of the location which has the highest utility. Main theme underlying the method is every group member
wants to compare their partial utility information with other group members. This procedure reflects the incomplete information as linear range
because it can count easily from partial utility information. Range type makes the incomplete information effective and efficient to demonstrate
the group members. In addition to this, range type utility information makes easy to compare every group members’ utility information with
group’s information and collecting the each group member’s utility information within group’s utility information. To obtain group utility,
preference aggregation method is used. Interactive procedure helps to make consensus of the group. Utility information calculated by using
optimism coefficient which is determined by the group. A numerical example for hospital location selection is given to illustrate the proposed
method finally.




How to Cite

ŞEN, H. (2019). Hospital Location Selection with Utility Range Based Interactive Group Decision Method. International Journal of Natural and Engineering Sciences, 10(1), 31–35. Retrieved from