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Applied Multi-Expert Decision Making Issue Based on Linguistic Models for Prostate Cancer Patients

Authors:
Hang Zettervall
Elisabeth Rakus-Andersson
Janusz Frey

Keywords: 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).

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.

Pages: 71 to 76

Copyright: Copyright (c) IARIA, 2013

Publication date: March 24, 2013

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-260-8

Location: Lisbon, Portugal

Dates: from March 24, 2013 to March 29, 2013