Evaluation of several approaches for deriving weights in fuzzy group analytic hierarchy process

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

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.

• Language: English
• Keywords: decision-making models, fuzzy analytic hierarchy process, triangular fuzzy numbers, soft consensus
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication version: Author Accepted Manuscript
• Year: 2018
• Number of pages: Str. 217-226
• Numbering: Vol. 27, no. S1
• PID: 20.500.12556/RUL-114173
• UDC: 519.8
• ISSN on article: 1246-0125
• DOI: 10.1080/12460125.2018.1460160
• COBISS.SI-ID: 5063590
• Publication date in RUL: 19.02.2020

Record is a part of a journal

• Title: Journal of decision systems
• Shortened title: J. decis. syst.
• Publisher: Taylor & Francis
• ISSN: 1246-0125
• COBISS.SI-ID: 515053593

Secondary language

• Language: Slovenian
• Keywords: odločitveni modeli, mehki analitični hierarhični procesi, trikotna mehka števila, mehki konsenzus