Cardiovascular diseases (CVDs)continue to be the primary cause of mortality, accounting for approximately one-third of all fatalities globally. This spawned the proposal of models in several studies. Accordingly, this study contributed to diagnosing heart disease through suggesting soft diagnosis paradigm. Various techniques have been volunteered for serving the suggested paradigm toward achieving its objective. Additionally, this study provided set of contributions. For instance, Tree Soft Technique (TrST) is applied for the first time for forming attributes and sub attributes of patients into nodes and sub-nodes of Tree to obtain relations between it. Even, the study support stakeholders to making accurate decision in mysterious circumstances and in problems with incomplete information through Collaborating the utilized techniques of entropy and Technique for order of preference by similarity to ideal solution (TOPSIS) in this study with Single Value Neutrosophic Sets (SVNSs) forked from neutrosophic uncertainty theory. As well, the relationship between sub-attributes which consider antecedent for obtaining consequent of detecting and diagnosing through collaborating TrST with association rules. Accordingly, we applied four transactions (cases) for obtaining findings of the relations in transactions