In this paper an attempt has been made to implement the problem of investing money in insurance sector,so as achieve high return with the help of fuzzy classification. We provide a better understanding of fuzzy classification.
Traditional database system forces all data to adhere to an explicitly specified, rigid schema and most of the limitations of traditional database may be overcome by semi-structured database. Whereas a traditional transaction system guarantee that either all modifications are done or none of these i.e. the database must be atomic (either occurs all or occurs nothing) in nature. In this paper transaction is treating as a mapping from its environment to compensable programs and provides a transaction refinement calculus. The motivation of the Transactional Calculus for Semi Structured Database System (TCSS) is-finally, on a highly distributed network, it is desirable to provide some amount of fault tolerance. The paper proposes a mathematical framework for transactions where a transaction is treated as a mapping from its environment to compensable programs and also provides a transaction refinement calculus. It proposes to show that most of the semi structured transaction can be converted to a calculus based model which is simply consists of a forward activity and a compensation module of CAP (consistency, availability, and partition tolerance) [12] and BASE (basic availability, soft state and eventually consistent) [45] theorem. It proposes to show that most of the semistructured transaction can be converted to a calculus based model which is simply consists of a forward activity and a compensation module of CAP and BASE theorem. It is important that the service still perform as expected if some nodes crash or communication links fail, Verification of several useful properties of the proposed TCSS includes in this article. Moreover, a detailed comparative analysis has been providing towards evaluation of the proposed TCSS.
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