Applications of intuitionistic fuzzy set aggregation operators in transport multi-factor project evaluation

Smith, P. N. (2012) Applications of intuitionistic fuzzy set aggregation operators in transport multi-factor project evaluation. Transportation Planning and Technology, 35 4: 427-447. doi:10.1080/03081060.2012.680815


Author Smith, P. N.
Title Applications of intuitionistic fuzzy set aggregation operators in transport multi-factor project evaluation
Journal name Transportation Planning and Technology   Check publisher's open access policy
ISSN 0308-1060
1029-0354
Publication date 2012
Sub-type Article (original research)
DOI 10.1080/03081060.2012.680815
Volume 35
Issue 4
Start page 427
End page 447
Total pages 21
Place of publication Colchester, Essex, United Kingdom
Publisher Taylor & Francis
Collection year 2013
Language eng
Abstract An intuitionistic fuzzy set (IFS) is a generalisation of a fuzzy set characterised by a truth membership function and a false membership function. The former is a lower bound on the grade of membership of the evidence in favour of a particular element belonging to the set and the latter is a lower bound on the negation of that element belonging to the set derived from evidence against that element belonging to the set. A similar concept is a vague set, though vague sets have been shown to be identical to IFSs. In the context of project evaluation, an IFS may be used to represent the degree to which a project satisfies a criterion and the degree to which it does not. Aggregation of such IFSs has been considered in recent years to identify a best project in terms of several criteria or factors. A particular desirable way to aggregate IFS is in terms of an ordered weighted average (OWA) which can be expressed in different forms such as arithmetic and geometric. In an OWA operator, weights are applied to the position of an element in the aggregation. In addition, hybrid OWA operators may be developed to not only weight the position of elements in the aggregation but the element itself. An example is given relating to the Kuranda Range Road upgrade (Queensland, Australia) which is limited by grade, poor overtaking opportunities, poor horizontal alignment and other constraints and the road is expected to become increasingly congested over the next few years. A more flexible multi-factor decision method is used to identify a 'best' project from a set of four alternative projects.
Keyword Intuitionistic fuzzy sets
Project evaluation
Ordered weighted average
Multi-factor decision method
Road upgrade
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2013 Collection
 
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