Automatic planning and optimal selection system and method

Abstract

The invention provides an automatic planning and optimization selection system. The automatic planning and optimization selection system comprises a factor definition device, a variable assignment device, an expected option definition device, a model definition device, a conversion device and a conversion model base. The innovation of the automatic planning and optimization selection system lies in that on the basis of conventional quantitative analysis, the control on the subjective randomness of assessment results and user preferences is enhanced, non-monetary or non-digital factors are additionally subjected to quantitative (or quantization range) and probability analysis, so that decisions are humanized on the basis of rationalization, and decision-making analysis results are trustworthy. Simultaneously, the automatic planning and optimization selection system provides the decisions and recommendations for users, performs comprehensive analysis according to conditions input by the users in advance and decision history conditions under the conditions that the users can not determine problems and opportunities possibly occurring in the future, and the possible user preferences change, and further predicts the further optimal decisions of the users. On the basis of the optimal decisions, the automatic planning and optimization selection system allows the users to track and check subsequent conducts of selected targets, thus ensuring that the targets are realized on schedule.

Description

technical field [0001] The invention relates to the field of computer information processing, in particular to a comprehensive calculation method and system for system data processing, condition quantification and decision optimization. Background technique [0002] In many cases, people don't know what will happen after a decision is made, or people don't know what is most important in the future because important factors will change over time, or people don't know what decisions will be made in the future- People only know what is more important at the moment. Therefore, it is necessary to develop a computerized decision optimization system (DecisionSupport System DSS). Computerized decision-making optimization systems are used in various commercial, industrial, medical systems and various scientific applications, and begin to play an increasingly important role. Common decision-making optimization systems determine the input value and decision-making model of a specific...

AI Technical Summary

Problems solved by technology

Due to the limitations of the evaluation content, the individual requirements of the evaluators, the differences in preferences, and the lack of comprehensive analysis of unknown coefficients, the evaluation results are often unconvincing

[0003] At the same time, due to the humanized differences between computerized decision-making optimization systems and human-brain decision-making, computer decision-making systems can never replace human-brain decision-making. difference

Although scenario analysis is currently used in supplier management and procurement, it cannot be widely applied to various fields of production and life, and it does not allow users to fully customize the setting rules

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