2016
DOI: 10.17559/tv-20150305124627
|View full text |Cite
|
Sign up to set email alerts
|

Multi-criteria analysis of variation solutions for the pipeline route by applying the PROMETHEE method

Abstract: Preliminary notesThe paper considers the problem of selecting the most appropriate variation for the pipeline route Beloševac -Divci within the Kolubara regional water supply system (Serbia). Variations are evaluated according to five criteria, three of which have an economic character. The problem of selecting the optimal variant for the pipeline route is solved using the multi-criteria analysis by applying the PROMETHEE method and the implementation into the software package Visual PROMETHEE 1.4. The PROMETH… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…Six main types of PF can be found in the literature (Brans and Vincke, 1985): (1) usual, (2) U-shape, (3) linear, (4) level, (5) V-shape with linear preference and indifference area, and (6) Gaussian. In this case study, the V -Shape with linear preference and indifference area PF was selected for all indicators based on the authors' judgment as well as on the insights acquired from other studies (Geldermann and Rentz, 2005;Podvezko and Podviezko, 2010;Kilic et al, 2015;Dražić et al, 2016;Schmitt et al, 2017).…”
Section: Multi-criteria Decision Analysis (Mcda)mentioning
confidence: 99%
“…Six main types of PF can be found in the literature (Brans and Vincke, 1985): (1) usual, (2) U-shape, (3) linear, (4) level, (5) V-shape with linear preference and indifference area, and (6) Gaussian. In this case study, the V -Shape with linear preference and indifference area PF was selected for all indicators based on the authors' judgment as well as on the insights acquired from other studies (Geldermann and Rentz, 2005;Podvezko and Podviezko, 2010;Kilic et al, 2015;Dražić et al, 2016;Schmitt et al, 2017).…”
Section: Multi-criteria Decision Analysis (Mcda)mentioning
confidence: 99%