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

Sustainability

Linbin Sha¹  Zhengmin Liu²  Lin Li²  Peide Liu²  Xinya Wang²  Xiaolan Zhao²  Di Wang² 

[1] School of Literature and Journalism, Shandong University of Finance and Economics, Jinan 250014, China;School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China;

关键词: green agricultural material supplier selection;    q-rung orthopair fuzzy sets;    knowledge-based score function;    group best-worst method;    PROMETHEE II;   

DOI  :  10.3390/su12176703

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown