Fuzzy Multicriteria Evaluation of Health Research Investments

Abstract

Health research and investments are expensive, and its explicit social, health and economic impacts are hard to define. There are many challenges and assumptions in defining specific returns on investment in health research. In the literature, there is no common approach to evaluate health research impacts. Single criterion methods are generally used with validated indicators to track overall outcomes or outcomes in a specific health research area. These methods have the ability of considering only one criterion at a time, which is usually the cost of the investment. A multicriteria method is proposed for taking care of many conflicting criteria of health research investments. The difficulty of measuring intangible criteria is captured by the fuzzy set theory. Fuzzy analytic hierarchy process (AHP) is used for the selection among four possible health research investment alternatives. A sensitivity analysis is made for the changes in the values of various parameters.

Third-Party Logistics (3pls) Provider Selection via Fuzzy Ahp and Edas Integrated Model

“…Cheng (2013) employed Fuzzy AHP for the selection of technology valuation methods for the development of new materials. Kahraman et al (2014) used Fuzzy AHP for the selection of health research investment alternatives. Safaei Ghadikolaei et al (2014) proposed Fuzzy AHP, Fuzzy VIKOR, Fuzzy ARAS, and Fuzzy COPRAS for financial performance evaluation of Iranian companies.…”

Fuzzy decision making model for selection of real time location systems

“…Kaya and Kahraman [20], developed Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), are used for intelligent building assessment. Kahraman et al [21] proposed Fuzzy Analytic Hierarchy Process (AHP) is used for the selection among four possible health research investment alternatives. Bilisik et al [22] create a hybrid fuzzy approach for the evaluation of SERVQUAL of public transportation system.…”

Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Based Method

“…Among few of these applications are Akdag et al, (2014) where a fuzzy MCDM method was applied in the evaluation of hospital service quality, while Liu et al (2013) applied fuzzy VIKOR to assess healthcare waste disposal methods. Shanmugasundaram and Seshaiah (2014) applied intuitionistic fuzzy technique in medical diagnosis, and Kahraman et al, (2014) applied fuzzy VIKOR in evaluation of health research investments. Büyüközkan and Çifçi (2012) used a hybrid fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to analyse electronic service quality in healthcare industry, and Mahdevari et al (2014) used fuzzy TOPSIS in human health and safety risks management in underground coal mines.…”

“…() applied fuzzy VIKOR to assess healthcare waste disposal methods. Shanmugasundaram and Seshaiah () applied intuitionistic fuzzy technique in medical diagnosis, and Kahraman et al ., () applied fuzzy VIKOR in evaluation of health research investments. Büyüközkan and Çifçi () used a hybrid fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to analyse electronic service quality in healthcare industry, and Mahdevari et al .…”