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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, Published 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
Identifiers
URN: urn:nbn:se:bth-7000Local ID: oai:bth.se:forskinfoB717E6AECE348F7DC1257B410049C7E1ISBN: 9781612082608 (print)OAI: oai:DiVA.org:bth-7000DiVA: diva2:834569
Conference
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)64 downloads
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Zettervall, HangRakus-Andersson, Elisabeth
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
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Output format
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