ABSTRACT

Applying artificial intelligence technology to enterprise management can enable the development of strong technical support for enterprises. This article discusses the role of artificial intelligence technology in enterprise knowledge management performance evaluation and how to apply artificial intelligence technology to knowledge management performance evaluation. This paper builds a two-level evaluation index system that combines enterprise practices and the related literature, analyses the relationship between the balanced scorecard metric and knowledge management performance evaluation, and uses the Analytic Hierarchy Process (AHP) to construct a knowledge management performance evaluation index system from the balanced scorecard perspective. By combining the three-layer fuzzy comprehensive evaluation model with this model, this study creates an Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation (AHP-FCE) method to evaluate knowledge management performance and provide a quantifiable scientific evaluation method for knowledge management performance evaluation.

摘要

将人工智能技术应用于企业管理，可以为企业的发展提供强有力的技术支持。本文讨论了人工智能技术在企业知识管理绩效评估中的作用以及如何将人工智能技术应用于知识管理绩效评估。本文构建了结合企业实践和相关文献的两级评价指标体系，分析了平衡计分卡指标与知识管理绩效评价的关系，利用层次分析法（AHP）构建了知识管理绩效评价指标。从平衡计分卡的角度来看。通过将三层模糊综合评价模型与该模型相结合，