Research on performance and dynamic competency evaluation of bid evaluation experts based on weight interval number

Area of Science:

• Expert evaluation systems
• Management science
• Decision analysis

Background:

• Previous research on bid evaluation experts has overlooked performance and competency assessment.
• Effective management of bid evaluation experts requires robust evaluation frameworks.

Purpose of the Study:

• To establish a theoretical foundation for incentive, constraint, and management mechanisms for bid evaluation experts.
• To implement performance and dynamic competency evaluations for bid evaluation experts.

Main Methods:

• Constructed and refined an evaluation index system for expert performance and dynamic competency.
• Improved expert weighting and score interval calculations using weight interval number theory.
• Developed a mathematical optimization model for index weight calculation based on performance and competency clustering.

Main Results:

• Enhanced calculation methods decreased index weight interval length and increased accuracy.
• The optimization model improved intra-class discrimination and inter-class discrimination for expert evaluation.
• Empirical analysis validated the effectiveness of the proposed evaluation framework.

Conclusions:

• The developed framework provides a scientific basis for managing bid evaluation experts.
• Findings support the implementation of targeted incentive and constraint mechanisms.
• The study contributes to more effective hierarchical and dynamic management of expert resources.