Making Medication Prognoses for Prostate Cancer Patients by the Application of Linguistic Approaches
2013 (English)In: International Journal On Advances in Life Sciences, ISSN 1942-2660, Vol. 5, no 3&4, 147-159 p.Article in journal (Refereed) Published
Apart from the probabilistic model and the model of 2-tuple linguistic representations, a new extension of the fuzzy set, known as the hesitant fuzzy linguistic term set can be seen as the third representative of linguistic approaches. In this paper, we focus on multi-expert decision-making problems, in which a group of physicians are independently asked for assessing the effectiveness of a set of treatment therapies. Our goal is to rank the effectiveness of treatment modalities from the most recommended to the contraindicated. Two individual prostate cancer patients have been taken into account in the practical studies. For the first patient, the probabilistic model and the model of 2-tuple linguistic representations have been adopted to accomplish the medical application. Whereas, for the second patient, the approach of hesitant fuzzy linguistic term set has been used to make the medication prognoses. Moreover, the continuous fuzzy numbers in the Left-Right representations are used to mathematically express the experts’ judgments and s-parametric membership functions are designed to represent the fuzzy linguistic terms.
Place, publisher, year, edition, pages
IARIA , 2013. Vol. 5, no 3&4, 147-159 p.
Multi-expert decision making, Fuzzy group decision making, Probabilistic model, 2-tuple linguistic representations model, Hesitant fuzzy linguistic term set
Mathematics Medical and Health Sciences
IdentifiersURN: urn:nbn:se:bth-6775Local ID: oai:bth.se:forskinfo2AD82D4CE3ACC774C1257C6F00303257OAI: oai:DiVA.org:bth-6775DiVA: diva2:834316