A multi-attribute decision making method for evaluation of traditional Chinese medicine quality based on complex m-generalized q-neutrosophic set

The quality of traditional Chinese medicine (TCM) is foundational to ensuring the safety, efficacy, stability, and controllability of medicinal products. The issue of TCM quality evaluation has always been a hotspot and challenge in the modernization development of TCM. This paper proposes a multi-attribute evaluation method for TCM quality under a complex fuzzy environment. Firstly, a generalized complex fuzzy set called m-Generalized q-Neutrosophic Set (CmGqNS) is defined, which can standardize complex information multidimensionally and stereoscopically, with more extensive constraint conditions. Then, a concise form of CmGqNS, named CmGqNN, is given, and its operational rules such as addition, multiplication, power index, etc., are defined, proving that these operational rules possess good properties. Based on the above operational rules, the fusion tools CmGqNNWAA operator and CmGqNNWGA operator for CmGqNN information are defined. Subsequently, a comprehensive evaluation algorithm framework based on CmGqNN information is constructed. Finally, products from six different Dendrobium planting companies are evaluated, and robustness testing and effective comparative analysis verify the feasibility and superiority of the proposed method.