A Green Supply Chain Member Selection Method Considering Green Innovation Capability in a Hesitant Fuzzy Environment

The purpose of this paper is to propose an improved hesitation fuzzy multi-attribute decision-making method realize green supply chain member selection under innovation vision. uses sets express decision information makers, takes capability as the evaluation perspective, and selects input, synergy subjects in chain, output capability, institutional enterprises sustainability indexes evaluate enterprises. proposed into account shortcomings original hesitant considering attribute weight optimization determination weights scheme ranking, then proposes a three-point estimation for ranking optimizes by quantifying balance coefficients method. Finally, example used verify rationality effectiveness method, comparison with made highlight advantages paper’s This provides certain theoretical basis members chains, which helps chains some insight similar problems other fields. In future research, can be considered combine probabilistic extensions solve problems.