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

• Main Authors: Zhengmin Liu, Lin Li, Xiaolan Zhao, Linbin Sha, Di Wang, Xinya Wang, Peide Liu
• Format: Article
• Language: English
• Published: MDPI AG 2020-08-01
• Series: Sustainability
• Subjects: green agricultural material supplier selection; q-rung orthopair fuzzy sets; knowledge-based score function; group best-worst method; PROMETHEE II
• Online Access: https://www.mdpi.com/2071-1050/12/17/6703

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.