Selecting the Optimal Green Agricultural Products Supplier: A Novel Approach Based on GBWM and PROMETHEE II

Abstract

Due to the uncertainty of natural factors and a larger global population, the work of supplying sustainable agricultural materials, especially green agricultural products, faces enormous challenges. How to effectively evaluate and select the most desirable green agricultural material supplier is an urgent issue for both agribusiness and government. In this paper, an integrated q-rung orthopair fuzzy (q-ROF) group best–worst method (GBWM) and the PROMETHEE II was introduced to availably solve such issue. Firstly, by taking similarity degree into account to solve incomplete weight information, a novel technique was constructed to determine the experts’ weight reasonably under the q-ROF context. Secondly, to improve consistency for group decision making and obtain a highly reliable selection result, the GBWM was used to derive criteria weights. Then, based on the proposed generalized p-norm knowledge-based score function, the PROMETHEE II was further improved to rank the feasible alternatives. After that, a representative case under the background of green agricultural material supplier selection was investigated in depth. Finally, the detailed comparative technique was conducted to verify the validity and superiority of the improved method.

Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives

“…P (a, b), which denotes the preference of (a) over (b) for criterion j, wa tion of d j (a, b) by applying Equation (18). The value of P ( , b) varie widely used in the literature [69,72,73]. The choice of the usual preference function is based on the need to use an assessment model that can be easily understood by decision-makers.…”

“…) over (b); • P(a, b) = 1 means a strict preference of ( the application of the method more cumbersome and complex. To deal with this limitation, we used the first assumption of the strict preference function because it is the most widely used in the literature [69,72,73]. The choice of the usual preference function is based on the need to use an assessment model that can be easily understood by decision-makers.…”

Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method

“…In order to compare our proposed methods with other MCDM methods which are not based on distance measurement, we selected three different q-ROF-based MCDM methods to validate our results. The comparative analysis is conducted with q-ROF-PROMETHEE II [64] with q = 5, which is based on outranking relations and q-ROF-EDAS [65] with q = 5, which is based on average solutions and q-ROF-TODIM [66] with q = 5, which is based on the prospect theory. The ranking results of the comparative analyses conducted by using q-ROF-based MCDM methods are shown in Fig.…”

Raw Material Supplier Selection Information System Using Promethee Method on Batik Tulis Lasem

“…The need for these raw materials requires quite a large cost, because part of the company's income is used for spending on these raw materials (Safari et al, 2012). The selection of raw material suppliers must also take into account the long term (Liu et al, 2020). Supplier selection is used to identify a decision-making problem so that it is able to meet the company's needs consistently and sustainably with appropriate financing according to the company's existence (Safari et al, 2012).…”

“…The PROMETHEE method is one of the MCDM (multi-criteria decision making) methods which is quite simple in its application (Behzadian et al, 2013). In the last few years the Promethee method has been used to solve problems in determining supplier selection (Safari et al, 2012), logistics supplier selection (Chen et al, 2010), suppliers of arocultural products (Liu et al, 2020), comparisons and industry rankings. Competency-based (Veza et al, 2015).…”