Method and apparatus for performing decision-making on request according to rules

Abstract

Embodiments of the invention provide a method for preprocessing a rule set, and a method for performing decision-making on an operation request according to a preprocessing result. In the preprocessing process, firstly, according to executive main bodies of rules in the rule set, the rules are divided into a plurality of main body strategy sets; and further, for each main body strategy set, according to the similarity between the rules comprised in the main body strategy set, the rules are clustered into rule class clusters, and feature rules corresponding to the rule class clusters are determined, so that the processing result of the preprocessing is formed. In the decision-making process, for the obtained operation request is obtained, firstly the request is distributed to a decision-making processing part with the same executive main body; the feature rule most proximate to the request is determined from the feature rules; the request is distributed to the most proximate rule classcluster according to the feature rule; the matched rule is quickly determined; and a decision is made.

Description

technical field [0001] One or more embodiments of this specification relate to the field of computer technology, and in particular, to a method and an apparatus for making a decision on a computer operation request. Background technique [0002] With the development of computer and Internet technology, various businesses emerge one after another, and correspondingly, the number of business rules also increases exponentially. More generally, a rule is the data used to evaluate a request, and a decision is a process of making a decision on a request according to established rule requirements, such as deciding whether to allow the operation corresponding to this request. In order to limit the specific requirements of various business operations, a huge rule set is often preset. When a request is received, it is necessary to match the request with the rules in the rule set one by one to determine the rule applicable to the request, and make a decision on the request according t...

AI Technical Summary

Problems solved by technology

[0003] The traditional decision engine based on rule matching is limited by the centralized decision-making architecture and the low efficiency of rule matching, and can no longer adapt to the decision-making scenarios of large-scale data volume under the Internet situation. The performance is low and the storage space consumption is huge. As the business complexity increases, the number of rules increases geometrically, which is also not applicable to the current scenario.

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