Framework and Evolution of Task Orientation Using Fuzzy and GA
Anju Khandelwal1, Avanish Kumar2
1Dr. Anju Khandelwal, Department of Mathematics, SRMS College of Engineering & Technology, Bareilly, Affiliated to Dr. A. P. J Abdul Kalam Technical University, Lucknow, India.
2Prof. Avanish Kumar, Former Head, Department of Math Sc & CA, Bundelkhand University, Jhansi, Chairman CSTT, MHRD, New Delhi, India.
Manuscript received on 15 March 2019 | Revised Manuscript received on 23 March 2019 | Manuscript published on 30 July 2019 | PP: 5475-5479 | Volume-8 Issue-2, July 2019 | Retrieval Number: B6988078219/19©BEIESP | DOI: 10.35940/ijrte.B6988.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Fuzzy Triangular Count, Genetic Algorithm (GA), Linguistic Variables, Recruitment and Selection in Jobs, Robust Ranking Method.
Scope of the Article: Fuzzy Logics