Improved CoCoSo Method Based on Frank Softmax Aggregation Operators for T-Spherical Fuzzy Multiple Attribute Group Decision-Making

In this article, a novel CoCoSo (Combined compromise solution) method based on Frank operational laws and softmax function is investigated to handle multiple attribute group decision-making problems for T-spherical fuzzy sets. We extend operations in environment develop series of aggregation operators, including (T-SFFS) average geometric their weighted forms, i.e., T-SFFS averaging (T-SFFSWA) (T-SFFSWG) operators. Some basic properties particular cases are discussed. Meanwhile, the monotonicity proposed operators also analyzed, it discussed that how they indicate decision-makers’ optimistic pessimistic decision attitudes with risk preference. Furthermore, Hamming distance measure proposed, which considers both decision-maker’s attitude priority, framework two independent parallel information processing processes designed. Lastly, real case spent power battery recycling technology (SPBRT) selection presented show practicability method. Also sensitivity comparative analyses carried out prove reliability, effectiveness, superiority our