Petra Grošelj (Author), Lidija Zadnik Stirn (Author)

Abstract

The paper discusses fuzzy group analytic hierarchy process. In the literature, there are found several approaches for determining weights either directly from the individual judgments or via group comparison matrix. However, the quality of the group weights was not studied yet. In the paper, we propose two new measures for the evaluation of the group weights that are adapted from classical analytic hierarchy process. We selected six approaches for deriving weights and use them in an application from the literature. We evaluated the gained weights. Our results show that the weights derived by the most popular extent analysis method are questionable in their reliability.

Keywords

decision-making models;fuzzy analytic hierarchy process;triangular fuzzy numbers;soft consensus;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 519.8
COBISS: 5063590 Link will open in a new window
ISSN: 1246-0125
Views: 550
Downloads: 336
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: odločitveni modeli;mehki analitični hierarhični procesi;trikotna mehka števila;mehki konsenzus;
Type (COBISS): Article
Embargo end date (OpenAIRE): 2019-08-16
Pages: str. 217-226
Volume: ǂVol. ǂ27
Issue: ǂno. ǂS1
Chronology: 2018
DOI: 10.1080/12460125.2018.1460160
ID: 11411868