Applied Multi-Expert Decision Making Issue Based on Linguistic Models for Prostate Cancer Patients
2013 (English)Conference paper (Refereed)
Abstract—In this paper, two models, one is called the probabilistic model and the other is known as the model of 2-tuple fuzzy linguistic representations, are applied to solve multi-expert decision making issues (MEDM). A MEDM problem is considered, in which a group of physicians are independently asked about assessing the effectiveness of a set of treatment therapies for a prostate cancer patient. The objective of this paper is to find the most common judgment by means of these two models. Moreover, fuzzy linguistic terms are used to express the experts’ opinions and s-parametric membership functions are designed to depict the fuzzy linguistic terms.
Place, publisher, year, edition, pages
IARIA , 2013.
multi-expert decision making, group decision making, fuzzy group decision making, linguistic modeling, linguistic choice function, 2-tuple fuzzy linguistic representation model, computing with words (CW)
Mathematics Medical and Health Sciences
IdentifiersURN: urn:nbn:se:bth-7000Local ID: oai:bth.se:forskinfoB717E6AECE348F7DC1257B410049C7E1ISBN: 9781612082608OAI: oai:DiVA.org:bth-7000DiVA: diva2:834569
The Fifth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, Lisboa