Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method

Ghenaï, Chaouki; Albawab, Mona; Bettayeb, Maâmar

doi:10.1016/j.renene.2019.06.157

Cited by 240 publications

(94 citation statements)

References 29 publications

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“…The use of the SWARA method is supported for its reliability in assessing experts' opinions related to the rate values and weight values of criteria i and its usefulness in supporting the coordination and gathering the data from consulting experts (Hashemkhani Zolfani et al, 2018). The SWARA method is subjective criteria-weighting that is widely used in the fields of management, economics, management, policy and environmental sustainability industry, manufacturing, and design and architecture (Ghenai et al, 2020). The steps employed for the SWARA method were as follows.…”

Section: Methodsmentioning

confidence: 99%

Examining Ownership Equity as a Psychological Factor on Tourism Business Failure Forecasting

Korol

Spyridou

2020

Front. Psychol.

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This paper examines ownership equity as a predictor of future business failure within the tourism and hospitality sectors. The main goals of this study were to examine which ratios are the most important for a tourism business failure forecasting model and how significant is the "total percentage of equity ownership by company directors" ratio compared with other ratios associated with the probability of bankruptcy. A stepwise weight assessment ratio analysis (SWARA) was applied, and 12 tourism bankruptcy experts evaluated key ratios. Total percentage of equity ownership by company directors is considered a psychological factor, and it was identified as the fourth most important ratio for a business failure forecasting model. Academicians and practitioners can use the findings of this study whenever developing a forecasting model for tourism and hospitality enterprises.

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Section: Methodsmentioning

confidence: 99%

Examining Ownership Equity as a Psychological Factor on Tourism Business Failure Forecasting

Korol

Spyridou

2020

Front. Psychol.

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“…Various Multi-Criteria Decision Making (MCDM) methods can be used in different cases, for example, they can be used for efficient application based on sustainability assessment tool efficiency, cost analysis and renewable energy evaluation [35,36]. Keršuliene et al introduced the SWARA method in 2010 [37], and, in comparison to the other MCDM methods, SWARA is easier to employ in decision-making problems due to its understandable concept and analysis procedure [38].…”

Section: Swara (Step-wise Weight Assessment Ratio Analysis) Methodsmentioning

confidence: 99%

“…The SWARA method is usually used for weighing decision criteria, which are the basis of assessing and prioritizing various alternatives [36]. To do so, knowledge, experience and opinions of experts are considered [39].…”

Section: Swara (Step-wise Weight Assessment Ratio Analysis) Methodsmentioning

confidence: 99%

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

et al. 2020

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One of the major issues of the construction industry has been the “reworks” that affect the time, quality, and cost of projects. Therefore, reworks and the ineffective use of site resources and materials will always result in significant losses on projects. The development of information technology has led to the widespread use of Building Information Modelling (BIM) to enhance the delivery of more sustainable building construction projects. The purpose of this study is to combine the Step-wise Weight Assessment Ratio Analysis (SWARA) method and BIM technologies to identify and reduce time delays caused by reworks in construction projects. Firstly, 49 rework causes in residential buildings were identified and ranked. Then, BIM was generated and compared to the initial model. It was observed that working hours were reduced by 4.6%. Moreover, using an Earned Value Management (EVM) system, a 0.06 increase in Schedule Performance Index (SPI) factor was illustrated. Results obtained by this study provide an effective step in reducing a project’s time in the construction industry.

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“…The results of that paper indicated that small hydro and solar PV were the most common sources among other sources. Ghenai et al [30] discussed and developed a new method based on SWARA (Step-wise weight assessment ratio analysis) and ARAS (Additive ratio assessment) approaches to choose and assess RESs. Boran et al [31] used an intuitionistic fuzzy TOPSIS to select and compute RESs for electricity generation by considering four types of sources, including wind, photovoltaic, geothermal, and hydro in Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set

Krishankumar

Mishra²,

Ravichandran

et al. 2020

Energies

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In recent years, the assessment of desirable renewable energy alternative has been an extremely important concern that could change the environment and economic growth. To tackle the circumstances, some authors have paid attention to selecting the desirable renewable energy option by employing the decision-making assessment and linguistic term sets. With a fast-growing interest in multi-criteria group decision-making (MCGDM) problems, researchers are tirelessly working towards new techniques for better decision-making. Decision makers (DMs) generally rate alternatives linguistically with different probabilities occurring for each term. Previous studies on linguistic decision-making have either ignored this idea or have used an only a single value for representing the weight of the linguistic term. Since expression of the complete probability distribution is hard and implicit hesitation exists, representation of weights of the linguistic terms using a single value becomes imprecise and unreasonable. To avoid this challenge, an interval-valued probabilistic linguistic term set (IVPLTS) is used, which is a generalization of (probabilistic linguistic term set) PLTS. Inspired by the usefulness of IVPLTS concept, we develop a decision framework for rational decision making. Initially, some operational laws and axioms are presented. Further, a novel aggregation operator known as interval-valued probabilistic linguistic simple weighted geometry (IVPLSWG) is developed for aggregating DMs’ preferences. Also, criteria weights are determined using the newly developed interval-valued probabilistic linguistic standard variance (IVPLSV) approach and alternatives are ranked using the extended VIKOR (VlseKriterijumskaOptimizacijaKompromisnoResenje) method under IVPLTS environment. Finally, a numerical example of renewable energy assessment is demonstrated to show the practicality of the developed decision framework. Also, the strengths and weaknesses of the developed decision framework are illustrated by comparison with existing ones.

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Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method

Cited by 240 publications

References 29 publications

Examining Ownership Equity as a Psychological Factor on Tourism Business Failure Forecasting

Examining Ownership Equity as a Psychological Factor on Tourism Business Failure Forecasting

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set

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