Evaluation of Barriers to Electric Vehicle Adoption in Indonesia through Grey Ordinal Priority Approach

Candra, Cliford Septian

doi:10.52812/ijgs.46

Cited by 33 publications

(21 citation statements)

References 32 publications

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“…Today, it has seen widespread applications in various fields. Among its core parts include the theories of Grey Numbers (Shajedul, 2021; Candra, 2022), Grey Decision-Making (Javed et al ., 2022; Mahmoudi et al ., 2021), Grey Linear Programming (Mahmoudi et al ., 2018), Grey Relational Analysis (Oyedeji et al , 2022; Abifarin and Ofodu, 2022; Ouali, 2022) and Grey Forecasting (Wu et al ., 2022; Tian et al ., 2021). Grey forecasting models are data-driven intelligent time-series forecasting systems that can predict future patterns of a variable with minimal data (Javed and Cudjoe, 2022; Zineb et al ., 2022).…”

Section: Methodsmentioning

confidence: 99%

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Tulkinov

2023

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PurposeElectricity plays an essential role in nations' economic development. However, coal and renewables currently play an important part in electricity production in major world economies. The current study aims to forecast the electricity production from coal and renewables in the USA, China and Japan.Design/methodology/approachTwo intelligent grey forecasting models – optimized discrete grey forecasting model DGM (1,1,α), and optimized even grey forecasting model EGM (1,1,α,θ) – are used to forecast electricity production. Also, the accuracy of the forecasts is measured through the mean absolute percentage error (MAPE).FindingsCoal-powered electricity production is decreasing, while renewable energy production is increasing in the major economies (MEs). China's coal-fired electricity production continues to grow. The forecasts generated by the two grey models are more accurate than that by the classical models EGM (1,1) and DGM (1,1) and the exponential triple smoothing (ETS).Originality/valueThe study confirms the reliability and validity of grey forecasting models to predict electricity production in the MEs.

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Section: Methodsmentioning

confidence: 99%

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Tulkinov

2023

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“…Recently, it has also been successfully combined with TOPSIS for project selection (Mahmoudi et al, 2021a), and shortlising of automotive parts suppliers (Bah and Tulkinov, 2022); data envelopment analysis (DEA) for supplier performance assessment (Mahmoudi et al, 2022b); FST for selection of resilient suppliers selection (Mahmoudi et al, 2022c), blockchain technology selection in construction organizations (Sadeghi et al, 2022b) and appraising construction suppliers (Mahmoudi et al, 2022d); neutrosophic fuzzy set for industrial robot selection (Abdel-Basset et al, 2022); rough set theory for sustainable mining (Deveci et al, 2022); and grey system theory to evaluate low-carbon sustainable technologies in agriculture (Shajedul, 2021), sustainable supplier selection for construction megaprojects (Mahmoudi et al, 2021b) and identification of barriers to electric vehicle adoption (Candra, 2022).…”

Section: Opamentioning

confidence: 99%

A grey ordinal priority approach for healthcare waste disposal location selection

Chakraborty

Raut

Rofin

et al. 2023

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PurposeIncreasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative evaluation criteria, and presence of several alternative locations.Design/methodology/approachTo efficiently resolve the problem, the past researchers have already coupled different multi-criteria decision-making tools with uncertainty models and criteria weight measurement techniques, which are time-consuming and highly computationally complex. Based on involvement of a group of experts expressing their opinions with respect to relative importance of criteria and performance of alternative locations against each criterion, this paper proposes application of ordinal priority approach (OPA) integrated with grey numbers to solve an HCW disposal location selection problem.FindingsThe grey OPA can simultaneously estimate weights of the experts, criteria and locations relieving the decision makers from complicated computational steps. The potentiality of grey OPA in solving an HCW disposal location selection problem is demonstrated here using an illustrative example consisting of three experts, six criteria and four alternative locations.Originality/valueThe derived results show that it can be employed to deal with real-time HCW disposal location selection problems in uncertain environment providing acceptable and robust decisions. It relieves the experts from pair-wise comparisons of criteria, normalization of data, identification of ideal and anti-ideal solutions, aggregation of information and so on, while arriving at the most consistent decision with minimum computational effort.

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“…Grey System Theory, introduced by Deng Julong in the 1980s, has been widely applied in various fields. It includes several core theories such as Grey Numbers (Shajedul, 2021;Candra, 2022), Grey Decision-Making , Grey Relational Analysis (Oyedeji et al, 2021;Abifarin and Ofodu, 2022), and Grey Forecasting (Wu et al, 2022;Tian et al, 2021). Grey forecasting models are intelligent time-series predicting systems that use minimal data to forecast future patterns (Javed & Cudjoe, 2020).…”

Section: Grey Forecasting Modelsmentioning

confidence: 99%

Forecast of Electricity Production from Coal and Renewable Sources in Major European Economies

Tulkinov

2023

Preprint

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Purpose – The importance of electricity in the economic development of nations is undeniable. Although coal and renewable sources are significant contributors to electricity production in major world economies, a new study seeks to predict the future production of electricity from these sources in Germany, the United Kingdom, and France. Design/methodology/approach – Two optimized grey forecasting models – DGM (1,1,α) and EGM (1,1,θ,α) – are used to forecast electricity production. Also, the accuracy of the forecasts is measured through the Javed-Cudjoe scale of Mean Absolute Percentage Error (MAPE). Findings – The electricity production from coal is on the decline, while renewable energy production is increasing in Germany, the United Kingdom, and France. The accuracy of the forecasts for these trends, as generated by two grey models, surpasses that of the Exponential Triple Smoothing (ETS). Originality/value – For the first time, optimized even and discrete grey forecasting models have been utilized to make predictions about electricity production in the three largest economies in Europe.

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Evaluation of Barriers to Electric Vehicle Adoption in Indonesia through Grey Ordinal Priority Approach

Cited by 33 publications

References 32 publications

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

A grey ordinal priority approach for healthcare waste disposal location selection

Forecast of Electricity Production from Coal and Renewable Sources in Major European Economies

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