Performance Appraisal and Automatic Scoring System for College Counselors Based on Kmeans Clustering

The optimal solution is output as the result to Kmeans algorithm initial clustering center, and proposed linear distance model used complete clustering. Combined with theory of target management, focusing on job requirements responsibilities counselors, counselors’ performance appraisal objectives were determined, counselor system was established, first-level indicators second-level their weights determined by using Del Illegal Analytic Hierarchy Process (AHP). This paper constructs a for local undergraduate college counselors based management objectives, has carried out pilot implementation in college. behavior anchoring method determine scoring standards each index, which solves problem inconsistent different assessment subjects past. In results, results three dimensions are independently evaluated category. certain practical significance reference value optimization research counselor’s scheme under background institutional reform university.