Consensus decision-making method, device, equipment and program product

By using a large language model-driven intelligent agent to automate the Delphi method, the problems of low efficiency and poor accuracy in the traditional Delphi method are solved, achieving efficient and accurate expert consensus formation and supporting multi-dimensional analysis and deep consensus formation.

CN120875619APending Publication Date: 2025-10-31INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information

Application Number
CN202511250832.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-03
Publication Date
2025-10-31

AI Technical Summary

Technical Problem

The traditional Delphi method relies heavily on human intervention in the formation of expert consensus, resulting in low efficiency and poor accuracy, especially as the scale of data increases significantly, making it much more difficult to process.

Method used

An intelligent agent driven by a large language model automates the initial questionnaire sending, opinion consistency assessment, and updated questionnaire generation until expert opinions are agreed upon. The intelligent agent enables the automatic generation, distribution, collection, and parsing of questionnaires.

Benefits of technology

It improves the efficiency and accuracy of expert consensus formation, reduces human intervention errors, ensures process transparency, precision and reliability, and supports multi-dimensional analysis and in-depth expert consensus.

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Abstract

The embodiment of the invention provides a consensus decision-making method and device, equipment and a program product. The method comprises the following steps: sending an initial questionnaire to each expert according to input information of a user; the input information comprises mail addresses and questionnaire contents of all experts, performing consistency evaluation on the received opinions of all the experts, determining an updated questionnaire based on a large language model when the consistency is not achieved, sending the updated questionnaire to all the experts until the opinions of all the experts achieve the consistency, and obtaining a consensus conclusion, in the consensus decision making process, the questionnaire is automatically adjusted and updated through the large language model, the accuracy of the adjusted and updated questionnaire is improved, the needed time is shortened, and therefore the efficiency and accuracy of the whole research process are improved.
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