Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer

M Tirumala Devi; Sameena Afreen; Abdul Majeed; G Mahender Reddy; V Shyam Prasad

doi:10.17485/IJST/v17i21.1314

Article

Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v17i21.1314

Year: 2024, Volume: 17, Issue: 21, Pages: 2150-2158

Original Article

Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer

M Tirumala Devi¹, Sameena Afreen², Abdul Majeed^3*, G Mahender Reddy⁴, V Shyam Prasad⁵

¹Department of Mathematics, Kakatiya University, Warangal, Telangana, India
²Research scholar, Department of Mathematics, Kakatiya University, Warangal, Telangana, India
³Department of Mathematics, Muffakham Jah College of Engineering & Technology, Hyderabad, Telangana, India
⁴Department of Mathematics, Anurag University, Hyderabad, Telangana, India
⁵Department of Mathematics, Neil Gogte Institute of Technology, Hyderabad, Telangana, India

*Corresponding Author
Email: [email protected]

Received Date:19 April 2024, Accepted Date:06 May 2024, Published Date:21 May 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To determine the best area in the software industry for a fresh engineering graduate in India. Methods: Examined the current situation of the software industry today and the datasets that were gathered and included in accordance with that. Here, five alternatives (Research and Development, Mobile solutions, Cloud computing, Big data analytics, and Government and Defence) and seven parameters (Communication, Teamwork, Coding and technical literacy, Programming languages, Problem-solving skills, Research skills, and Multitasking skills) are taken into consideration. Fuzzy AHP and fuzzy TOPSIS methods were used, and the outcomes were compared to the AHP method. Findings: Fuzzy AHP and fuzzy TOPSIS methods have been used to produce the normalized weight vector for each alternative relative to the criterion. Additionally, a normalized weight vector has been calculated and compared to every criterion and criteria alternative. Final rankings for each alternative have been determined in relation to all of these. Novelty: The novelty of the present study is to identify the best sector of the software industry in India for a recent engineering graduate based on providing a ranking of alternatives using fuzzy TOPSIS and fuzzy AHP methodologies. While other strategies may be used to do similar works, the techniques listed above may not be used. Fuzzy AHP and fuzzy TOPSIS approaches can provide more optimal solutions, which is an innovative aspect of this study.

Keywords: Analytical Hierarchy Process (AHP), Comparative analysis, Fuzzy AHP method, Fuzzy TOPSIS method, Software industry

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Copyright

© 2024 Devi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)