A new TOPSIS-based multi-criteria approach to personnel selection

By A. Kelemenis, D. Askounis. Expert systems with applications, 2010

360 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d5630c3f4c538302d260ee5b93053aad1ad1634b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mohamed F. El-Santawy
2. Joshua Ignatius
3. S. Khanmohammadi Otaghsara
4. Morteza Yazdani
5. Majid Behzadian

In Management Science and Operations Research

1. Mohamed F. El-Santawy
2. Joshua Ignatius
3. S. Khanmohammadi Otaghsara
4. Morteza Yazdani
5. Majid Behzadian
6. Edmundas Kazimieras Zavadskas
7. Kannan Govindan
8. Martin Brandt Jepsen

Citations in the corpus

• A state-of the-art survey of TOPSIS applications (2012, background): “…Feng (2009) Dean selection in the business school of a university in China Fuzzy TOPSIS Fan and Liu (2010) Selecting the most suitable candidate for hiring a system analysis engineer Extended TOPSIS with fuzzy Kelemenis and Askounis (2010) Selecting a top management team member in an IT department.”
• A VIKOR Method for Solving Personnel Training Selection Problem (2012, background): “The complexity and importance of the problem call for analytical methods rather than intuitive decisions [5].”
• Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, neutral): “In this category there were some specific fields of science, include mathematic (Abdullah & Najib, 2014a, 2014b; Kelemenis & Askounis, 2010), energy and environmental (Akadiri, Olomolaiye, & Chinyio, 2013; Bagočius, et al., 2014; Kabak, Köse, Kırılmaz, & Burmaoğlu, 2014; Y.-C. Shen, Lin, Li, &…”