Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods

The investigation for new innovative solutions to reduce transport pollution is a priority for the European Union (EU). This study includes energy and a sustainable environment, as well as transport, logistics, and information and communication technologies. Energy ecological parameters of internal...

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Main Authors: Edmundas Kazimieras Zavadskas, Audrius Čereška, Jonas Matijošius, Alfredas Rimkus, Romualdas Bausys
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/8/1415
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author Edmundas Kazimieras Zavadskas
Audrius Čereška
Jonas Matijošius
Alfredas Rimkus
Romualdas Bausys
author_facet Edmundas Kazimieras Zavadskas
Audrius Čereška
Jonas Matijošius
Alfredas Rimkus
Romualdas Bausys
author_sort Edmundas Kazimieras Zavadskas
collection DOAJ
description The investigation for new innovative solutions to reduce transport pollution is a priority for the European Union (EU). This study includes energy and a sustainable environment, as well as transport, logistics, and information and communication technologies. Energy ecological parameters of internal combustion depend on many factors: fuel, the fuel injection time, engine torque, etc. The engine’s energy ecological parameters were studied by changing engine torques, using different fuels, and changing the start of the fuel injection time. The selection of the optimum parameters is a complex problem. Multicriteria decision-making methods (MCDM) present powerful and flexible techniques for the solution of many sustainability problems. The article presents a new way of tackling transport pollution. The analysis of the energy ecological parameters of the experimental internal combustion engine is performed using the neutrosophic multi-objective optimization by a ratio analysis plus the full multiplicative form (MULTIMOORA) and step-wise weight assessment ratio analysis (SWARA) methods. The application of MCDM methods provides us with the opportunity to establish the best alternatives which reflect the best energy ecological parameters of the internal combustion engine.
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spelling doaj.art-2a54e27e32744b0797f86e018ebc40dc2022-12-22T04:08:50ZengMDPI AGEnergies1996-10732019-04-01128141510.3390/en12081415en12081415Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA MethodsEdmundas Kazimieras Zavadskas0Audrius Čereška1Jonas Matijošius2Alfredas Rimkus3Romualdas Bausys4Laboratory of Operational Research, Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaDepartment of Mechanical and Material Engineering, Vilnius Gediminas Technical University, Basanaviciaus str. 28, LT-03324 Vilnius, LithuaniaDepartment of Automobile Engineering, Vilnius Gediminas Technical University, Basanaviciaus str. 28, LT-03324 Vilnius, LithuaniaDepartment of Automobile Engineering, Vilnius Gediminas Technical University, Basanaviciaus str. 28, LT-03324 Vilnius, LithuaniaDepartment of Graphical Systems, Vilnius Gediminas Technical University Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaThe investigation for new innovative solutions to reduce transport pollution is a priority for the European Union (EU). This study includes energy and a sustainable environment, as well as transport, logistics, and information and communication technologies. Energy ecological parameters of internal combustion depend on many factors: fuel, the fuel injection time, engine torque, etc. The engine’s energy ecological parameters were studied by changing engine torques, using different fuels, and changing the start of the fuel injection time. The selection of the optimum parameters is a complex problem. Multicriteria decision-making methods (MCDM) present powerful and flexible techniques for the solution of many sustainability problems. The article presents a new way of tackling transport pollution. The analysis of the energy ecological parameters of the experimental internal combustion engine is performed using the neutrosophic multi-objective optimization by a ratio analysis plus the full multiplicative form (MULTIMOORA) and step-wise weight assessment ratio analysis (SWARA) methods. The application of MCDM methods provides us with the opportunity to establish the best alternatives which reflect the best energy ecological parameters of the internal combustion engine.https://www.mdpi.com/1996-1073/12/8/1415internal combustion enginefuelsenergy ecological parametersneutrosophic MULTIMOORASWARA
spellingShingle Edmundas Kazimieras Zavadskas
Audrius Čereška
Jonas Matijošius
Alfredas Rimkus
Romualdas Bausys
Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
Energies
internal combustion engine
fuels
energy ecological parameters
neutrosophic MULTIMOORA
SWARA
title Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
title_full Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
title_fullStr Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
title_full_unstemmed Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
title_short Internal Combustion Engine Analysis of Energy Ecological Parameters by Neutrosophic MULTIMOORA and SWARA Methods
title_sort internal combustion engine analysis of energy ecological parameters by neutrosophic multimoora and swara methods
topic internal combustion engine
fuels
energy ecological parameters
neutrosophic MULTIMOORA
SWARA
url https://www.mdpi.com/1996-1073/12/8/1415
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AT jonasmatijosius internalcombustionengineanalysisofenergyecologicalparametersbyneutrosophicmultimooraandswaramethods
AT alfredasrimkus internalcombustionengineanalysisofenergyecologicalparametersbyneutrosophicmultimooraandswaramethods
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