Optimal ecodesign selection for biodiesel production in biorefineries through multicriteria decision making

2021 ◽  
Author(s):  
Luisa Andrea González-Cruz ◽  
Luis Fernando Morales-Mendoza ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Catherine Azzaro-Pantel ◽  
Paulina Martínez-Isidro ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Biodiesel Production ◽  
Multicriteria Decision ◽  
Selection For

USE OF MULTICRITERIA DECISION MAKING METHODS IN THE PROJECTS SELECTION FOR EXPANSION OF RESIDENTIAL CONDOMINIUMS

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Leoni Pentiado Godoy ◽  
Natalia Pedroso Serpa ◽  
André Brum Missaggia ◽  
Roger Da Silva Wegner ◽  
Julio Siluk ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Selection For

scholarly journals Modelo de análisis multicriterio en la evaluación de los diferentes cultivos para producción de biodiesel

2018 ◽  
Vol 22 ◽  
pp. 7
Author(s):  
Juan Fernando Herrera Guardiola ◽  
Rafaela Ferreira Lopes ◽  
João Carlos Correa Baptista Soares de Mello ◽  
Flávio Castro da Silva
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Renewable Energies ◽  
The Other ◽  
Biodiesel Production ◽  
Global Score ◽  
Multicriteria Decision ◽  
Corn Crop ◽  
Good Score

Macbeth model is a multicriteria tool for the multicriteria decision making that has been used in different projects and studies of renewable energies. The purpose of this paper was apply the software Macbeth for the evaluation of canola, corn, palm and soy crops taking in to account technician, environmental and economic criterias and their weights. Canola crop was the best option for the biodiesel production, with a global score of 74 points because of their good score in environmental criterias, wich had a higher weight than the other criterias. Corn crop was the second positioned, presenting good results in all criterias, followed by palm crop. The final one was soy crop with 36,67 points in this analysis.

scholarly journals Use of chemometrics methods and multicriteria decision-making for site selection for sustainable on-site sewage effluent disposal

2004 ◽  
Vol 506 (1) ◽  
pp. 41-56 ◽  
Author(s):  
Wael Al-Shiekh Khalil ◽  
Ashantha Goonetilleke ◽  
Serge Kokot ◽  
Steven Carroll
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Multicriteria Decision Making ◽  
Sewage Effluent ◽  
Multicriteria Decision ◽  
Selection For

scholarly journals Multicriteria Decision-Making Method and Application in the Setting of Trapezoidal Neutrosophic Z-Numbers

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Rui Yong ◽  
Jun Ye ◽  
Shigui Du
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Aggregation Operators ◽  
Software Selection ◽  
Fuzzy Decision ◽  
Multicriteria Decision ◽  
Weighted Arithmetic ◽  
Critical Problems ◽  
Selection For ◽  
Aggregation Operations

The information expression and modeling of decision-making are critical problems in the fuzzy decision theory and method. However, existing trapezoidal neutrosophic numbers (TrNNs) and neutrosophic Z-numbers (NZNs) and their multicriteria decision-making (MDM) methods reveal their insufficiencies, such as without considering the reliability measures in TrNN and continuous Z-numbers in NZN. To overcome the insufficiencies, it is necessary that one needs to propose trapezoidal neutrosophic Z-numbers (TrNZNs), their aggregation operations, and an MDM method for solving MDM problems with TrNZN information. Hence, this study first proposes a TrNZN set, some basic operations of TrNZNs, and the score and accuracy functions of TrNZN and their ranking laws. Then, the TrNZN weighted arithmetic averaging (TrNZNWAA) and TrNZN weighted geometric averaging (TrNZNWGA) operators are presented based on the operations of TrNZNs. Next, an MDM approach using the proposed aggregation operators and score and accuracy functions is established to carry out MDM problems under the environment of TrNZNs. In the end, the established MDM approach is applied to an MDM example of software selection for revealing its rationality and efficiency in the setting of TrNZNs. The main advantage of this study is that the established approach not only makes assessment information continuous and reliable but also strengthens the decision rationality and efficiency in the setting of TrNZNs.

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