A q-rung orthopair basic probability assignment and its application in medical diagnosis

Dempster-Shafer theory is widely used in decision-making and considered as one of the potential mathematical tools order to fuse evidence. However, existing studies this show disadvantage due conflicting nature standard evidence set combination rule In paper, we have constructed framework q-rung address issue conflicts based on fuzzy number its more comprehensive range advantage compared other or discrete numbers. The proposed has flexibility assessing a parameter through orthopair basic probability assignment consisting membership non-membership belief degree. Moreover, consists pair degrees, possibility cannot be ignored entirely. regard, new association coefficient measure introduced where each component degrees modified weighted average mass technique. This paper uses various concept such soft sets, Deng entropy, score function for problem. Firstly, obtain initial function, implemented Intuitionistic assess alternatives entropy find uncertainty parameters. Secondly, avoid conflict form Finally, combined found value numbers ranking values alternatives. study validated with case medical diagnosis problem from measures