Framework and evolution of task orientation using fuzzy and GA

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Abstract

The process of selecting employees in any organization is done by mostly old ways. There is a lack of hypothetical support in this method, and error is possible in the result. In the research paper presented, we have outlined the recruitment and selection process of employees with the help of Fuzzy Triangular Number. The selection process given here is completely different from the methods given earlier. To find the ideal employee here, we use the modified method of solving assignment problem. Using certain linguistic variables, we use robust ranking method here. The solution obtained from this method is minimized using the revised approach of assignment. This modified approach is simpler than the Hungarian method previously used by other authors. Using this modified solution, the minimum solution is achieved by reducing the number of recurring assignments. After assignment process, finally selection of employees is given using criterion of GA.

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Khandelwal, A., & Kumar, A. (2019). Framework and evolution of task orientation using fuzzy and GA. International Journal of Recent Technology and Engineering, 8(2), 5475–5479. https://doi.org/10.35940/ijrte.B6988.078219

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