Evaluation of Low-Carbon Sustainable Technologies in Agriculture Sector through Grey Ordinal Priority Approach

Abstract

The agriculture sector plays a vital role in the economy, society, and environment, the three dimensions of sustainability. The agriculture sector contributes 12% to 14% of global greenhouse gas (GHG) emissions to the atmosphere, negatively impacting climate change. Using low-carbon and sustainable agricultural technologies can help mitigate climate change and global food security issues. But selecting and prioritizing the best technologies among all alternatives has always been an issue for decision-makers because of various uncertainty related to the agricultural sector. Therefore, the current study intends to identify and prioritize the key low-carbon and sustainable agricultural technologies. The current study makes a pioneering attempt in employing the Grey Ordinal Priority Approach (OPA-G), a modern multi-attribute decision-making technique, for the evaluation of low-carbon and sustainable technologies for the agricultural sector.

Identifying Significant Points of Energy Culture for Developing Sustainable Energy Investments

“…Additionally, under the uncertain conditions in decision making process, the incomplete information, the difficulties in the constructing process of the linguistic scales and evaluations, the necessary of normalized and comparison matrices with the aggregated evaluations are among the main problems of complex multi-criteria decision-making techniques. However, there are several outstanding methods to solve the uncertainty related to data collection and methodologies including gray system theory and ordinal priority and gray ordinal priority approaches (Islam, 2021; Mahmoudi et al, 2020; Mahmoudi et al, 2021; Quartey-Papafio et al, 2021). To prevent these issues, in Table 2, the exact linguistic scales and evaluation sets are defined to obtain the experts’ opinion more accurately.…”

Prioritization Road Safety Strategies Towards Zero Road Traffic Injury Using Ordinal Priority Approach

“…The Ordinal Priority Approach (OPA) is firstly introduced by Ataei et al ( 2020). After that, the benefits of their method have emerged in numerous studies such as the assessment of construction sub-contractors (Mahmoudi & Javed, 2022), suppliers for healthcare center assessment (Quartey-Papafio, Islam, & Dehaghani, 2021), agriculture sector (Islam, 2021), robot selection (Abdel-Basset, Mohamed, Abdel-Monem, & Elfattah, 2022), risk assessment (Sadeghi, Mahmoudi, & Deng, 2022), postpandemic strategies (Le & Nhieu, 2022), and planning strategies prioritization (Pamucar, Deveci, Gokasar, Martínez, & Köppen, 2022).…”

Evaluating Suppliers for Healthcare Centre using Ordinal Priority Approach

“…The OPA has several advantages over other MCDM models as it does not require pairwise comparisons, normalization of data, completeness of data (Mahmoudi et al, 2020). Also, the extended versions of the OPA can further assist the decision-makers in solving problems containing uncertainty (Shajedul, 2021;Mahmoudi et al, 2021a).…”