Method, system and equipment for recording decision behavior

Abstract

The embodiment of the invention provides a method, system and equipment for recording decision behaviors, and the method comprises the steps of constructing a decision record model cluster which comprises different decision record models, wherein the different decision record models independently learn the decision event data set, and co-grow in a set time; and checking the decision record model cluster, and updating the decision record model according to a set elimination rule. According to the technical scheme provided by the embodiment of the invention, recording, accumulation, optimization selection and inheritance of decision events in a group are facilitated, a cluster co-growth mechanism is adopted, and personalized development and generality value improvement of a decision record model are considered. The invention can face wide application scenes such as the service industry, regional government, public security and government department decision, is wide in applicability and high in practicability, and provides a method for constructing a large-scale comprehensive intelligent decision scene for various scenes.

Description

technical field [0001] The invention relates to the technical field of decision-making management, in particular to a method, system and equipment for recording decision-making behaviors. Background technique [0002] In general, the production line or equipment in the industrial field has a relatively solid process flow, and the basic working condition data dimension, the operable data dimension of workers, and the evaluation data dimension of evaluating operation results are all clear. . However, in some decision-making events, such as community services, social security, government department strategies, etc., the same or the same type of decision-making events generally have the same decision-making purpose, evaluation data dimensions, and evaluation standards, but different people in The data dimensions based on decision-making may be different, and the corresponding decision-making behaviors (that is, the operational data dimensions) are also diverse. Although everyon...

AI Technical Summary

Problems solved by technology

However, in some decision-making events, such as community services, social security, government department strategies, etc., the same or the same type of decision-making events generally have the same decision-making purpose, evaluation data dimensions, and evaluation standards, but different people in The data dimensions based on decision-making may be different, and the corresponding decision-making behaviors (that is, the operational data dimensions) are also diverse. Although everyone can summarize experience and lessons, the comparability between experiences is poor, and experience accumulation and inheritance are difficult. Therefore, it is urgent to solve the accumulation of decision-making experience and the transfer of decision-making experience between people, people and systems, and systems and people.

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