TEM Journal | 2026
Authors: Yang G.; Luo J.; Wei H.; Yuan G.; Shigang J.
DOI: 10.18421/TEM151-20
Journal: TEM Journal
Year: 2026
Publisher: UIKTEN - Association for Information Communication Technology Education and Science
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
Green transition is a must for organizational sustainable development, with employee competence being a key driver. Aiming at the problem of insufficient systematic evaluation of employee competence in existing green transformation research, this paper presents a four - dimension evaluation system (knowledge, skills, attitude, and ability) with ten sub – criteria. To evaluate employee competence in green transition enterprises, this paper proposes a competence evaluation method, based on probabilistic hesitant fuzzy sets (PHFS). The proposed method integrates SWARA and the exponential probabilistic hesitant fuzzy entropy for criteria weight quantification, balancing expert experience and data - driven approaches. It handles the uncertainty of evaluation through probabilistic hesitant fuzzy sets, and uses the CoCoSo method for comprehensive ranking, which enhances the scientific and operability of evaluation. To test the proposed method, it is applied to evaluate employee competence in a green manufacturing company and compared with Shapely - TODIM. The consistent ranking results from both methods confirm the scientific and practical applicability of the proposed method. © 2026 Guanghai Yang et al.; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.
Employee competence; multi - criteria decision-making; probabilistic hesitant fuzzy sets.