2016
DOI: 10.1109/tla.2016.7430079
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of power plants technologies using multicriteria methodology Macbeth

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…Owing to several associated challenges in forming embedded group decision making, a single DM is responsible for the formulation of structure, identification of attributes, and the evaluation. These applications are found in computing human performance (Gurbuz, 2010), performance analysis in project management (Marques et al, 2011), project controlling and performance (Lauras et al, 2010), supply chain management (Clivillé & Berrah, 2012), technology selection (Tosun, 2017), solid waste landfill (Demesouka et al, 2016), business location selection (Bachrane et al, 2016), auditing predictive maintenance program (Bana e Costa et al, 2012), port performance (Madeira et al, 2012), power plant (Andrade et al, 2016), portfolio management (Lourenço et al, 2012), renewable energy (Ertay et al, 2013), and steam boiler selection (Kundakcı, 2019).…”
Section: Research Justification and Problem Formulationmentioning
confidence: 99%
“…Owing to several associated challenges in forming embedded group decision making, a single DM is responsible for the formulation of structure, identification of attributes, and the evaluation. These applications are found in computing human performance (Gurbuz, 2010), performance analysis in project management (Marques et al, 2011), project controlling and performance (Lauras et al, 2010), supply chain management (Clivillé & Berrah, 2012), technology selection (Tosun, 2017), solid waste landfill (Demesouka et al, 2016), business location selection (Bachrane et al, 2016), auditing predictive maintenance program (Bana e Costa et al, 2012), port performance (Madeira et al, 2012), power plant (Andrade et al, 2016), portfolio management (Lourenço et al, 2012), renewable energy (Ertay et al, 2013), and steam boiler selection (Kundakcı, 2019).…”
Section: Research Justification and Problem Formulationmentioning
confidence: 99%
“…Be the difference the categories which differ the attractiveness (Ck) with k =0, ..., 6, which corresponds to "null" (Co), "very weak" (C1), "weak" (C2), "moderate" (C3), "strong" (C4), "very strong" (C5) and "extreme" (C6). Furthermore, Andrade, Andrade and Mello [18] highlight that, if v(a+) and v(a-) are, respectively, the greater and lesser scores among the options, the base MACBETH scale may be found resolving the following linear programming problem: …”
Section: Equationsmentioning
confidence: 99%
“…MACBETH is a non-numerical approach designed to aid decision-makers to quantify the relative attractiveness of options [23]. It has been successfully applied in several real-world case studies including the area of energy technology choice [24][25][26][27][28][29]. However, this paper constitutes the first study applying the MACBETH approach to the off-grid site selection decision problem.…”
Section: Introductionmentioning
confidence: 99%