Evaluating and selecting hospital locations using fuzzy multicriteria decision making Online publication date: Thu, 28-Aug-2014
by Santoso Wibowo
Asian J. of Management Science and Applications (AJMSA), Vol. 1, No. 3, 2014
Abstract: The hospital location evaluation and selection process is complex and challenging owing to the multi-dimensional nature of the process and the presence of uncertainty and imprecision inherent in the decision making process. To ensure effective decisions are made, this paper presents a new approach for evaluating and selecting hospital locations. The evaluation problem is formulated as a multicriteria decision making problem, and a fuzzy multicriteria decision making algorithm is developed for evaluating and selecting hospital location alternatives. Linguistic terms approximated by fuzzy numbers are used to represent the subjective assessments of the decision maker. To avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making, a new algorithm is developed based on the concept of ideal solutions. A hospital location selection problem is presented to demonstrate the effectiveness of the approach.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the Asian J. of Management Science and Applications (AJMSA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com