Solving generalised intuitionistic fuzzy 1-median problem on tree networks with a new ranking method
Akram Soltanpour,
Fahimeh Baroughi and
Behrooz Alizadeh
International Journal of Mathematics in Operational Research, 2020, vol. 17, issue 4, 552-571
Abstract:
The 1-median location problem on a tree T is to find a vertex υ* on T that minimise the sum of the weighted distances from all vertices to the vertex υ*. In this paper, we investigate the 1-median location problem on tree networks with generalised intuitionistic fuzzy weights. We first present a new method for comparing generalised fuzzy numbers and then develop it for generalised intuitionistic fuzzy numbers. The proposed method for ranking generalised fuzzy numbers can also effectively rank real numbers. These methods are able to rank the generalised trapezoidal fuzzy numbers and generalised trapezoidal intuitionistic fuzzy numbers in linear times. Then numerical examples are given to compare the proposed methods with other existing methods. Finally, we apply our ranking method to solve the 1-median location problem on a tree network with generalised trapezoidal intuitionistic fuzzy vertex weights and then we show that the problem is solvable in linear time.
Keywords: ranking function; generalised fuzzy numbers; G-FNs; generalised intuitionistic fuzzy numbers; G-IFNs; location problem; 1-median. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=110842 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:17:y:2020:i:4:p:552-571
Access Statistics for this article
More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().