Change search
ReferencesLink to record
Permanent link

Direct link
Applied Multi-Expert Decision Making Issue Based on Linguistic Models for Prostate Cancer Patients
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2013 (English)Conference paper (Refereed)
Abstract [en]

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.
Keyword [en]
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)
National Category
Mathematics Medical and Health Sciences
URN: urn:nbn:se:bth-7000Local ID: 9781612082608OAI: diva2:834569
The Fifth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, Lisboa
Available from: 2013-04-04 Created: 2013-04-02 Last updated: 2016-09-30Bibliographically approved

Open Access in DiVA

fulltext(568 kB)20 downloads
File information
File name FULLTEXT01.pdfFile size 568 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Zettervall, HangRakus-Andersson, Elisabeth
By organisation
Department of Mathematics and Natural Sciences
MathematicsMedical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 20 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 22 hits
ReferencesLink to record
Permanent link

Direct link