ArticleScientific reports2025
A novel framework for TER allocation using multilayer perceptron and intuitionistic fuzzy Z numbers for talent management.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- An advanced hybrid intuitionistic fuzzy Z-number framework for IT impact analysis in E-learning systems.Scientific reports · 2026Article
- Identifying effective coping strategies against mobbing for Generations Y and Z using a Pythagorean fuzzy decision support mechanism.Scientific reports · 2025Article
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Abstract
The effective allocation of Training and Education Resources (TER) is one of many organizational pathways to maximizing workforce capability and employee development. Conventional means of assessing employees and allocating employee resources are inadequate in managing uncertainty, imprecision, or performance data in complex forms and paradigms. In this paper, a new model is proposed that implements an integrated application of Intuitionistic Fuzzy Z-Numbers and multi-layer perceptron networks for a more realistic and accurate employee performance evaluation and resource allocation. The proposed model employs fuzzy logic to handle uncertainty in performance evaluation, such as degrees of membership, non-membership, and hesitancy. The multi-layer perceptron network predicts employee performance trends to help allocate resources, if required, while performance is progressing. The model was analyzed through experimental analysis, with a significant R
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