KaydedilenlerDerginizi ekleyin

Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2020 / Cilt: 8 - Sayı: 3

Personnel Evaluation Under Intuitionistic Fuzzy Environment

Melda KOKOÇ
Süleyman ERSÖZ
Sayfa
137–146
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this paper, a new approach is proposed to solve multi-person and multi-attribute evaluation problems underan intuitionistic fuzzy environment.
📊
Temel Bulgular & Veri:To illustrate the application of the novel approach, a numerical example for evaluating engineers according to attributes of T-shaped engineers is given.
💡
Sonuç & Katkı:This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

In this paper, a new approach is proposed to solve multi-person and multi-attribute evaluation problems underan intuitionistic fuzzy environment. The proposed evaluation approach is mainly grounded on the integration of the score function and aggregation operator for intuitionistic fuzzy sets. To illustrate the application of the novel approach, a numerical example for evaluating engineers according to attributes of T-shaped engineers is given. The novelty of this study is that it defines T-shaped engineer selection as a multi-attribute evaluation problem in the literature for the first time. In addition, it proposes an integrated intuitionistic fuzzy evaluation approach in which the candidates are evaluated at both technical (hard) skills and non-technical (soft) skills. This study contributes to the literature as it provides a novel insight into the theoreticalground of the personnel selection problem.

🔖

Bu Makaleye Atıf Yap

KOKOÇ, M., ERSÖZ, S. (2020). Personnel Evaluation Under Intuitionistic Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 8 - Sayı: 3, 137–146. https://ajindex.com/articles/218203

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (1)

  1. K. T. Atanassov, “Intuitionistic fuzzy sets,” FuzzySetsSyst, vol. 20,no. 1, pp. 87–96, Aug.1986, DOI: 10.1016/S0165-0114(86)80034-3. [2]K. T. Atanassov, “More on intuitionistic fuzzy sets,” FuzzySetsSyst, vol. 33, no.1, pp. 37–45, Oct.1989, DOI: 10.1016/0165-0114(89)90215-7. [3]L. A. Zadeh, “Fuzzy sets,” Inf.Control, vol. 8, no. 3, pp. 338-353, Jun. 1965, DOI: 10.1016/S0019-9958(65)90241-X. [4]J. Puri and S. P. Yadav, “Intuitionistic fuzzy data envelopment analysis: An application to the banking sector in India,” Expert Syst Appl, vol. 42, no. 11, pp. 4982-4998, Jul. 2015, DOI: 10.1016/j.eswa.2015.02.014. [5]E. Szmidt and J. Kacprzyk, “Intuitionistic fuzzy sets in intelligent data analysis for medical diagnosis,” in Proc. ICCS, Berlin, Heidelberg, 2018, pp. 263-271, DOI: 10.1007/3-540-45718-6_30. [6]J. Y. Ahn, S. Y. Oh, and C. D. Lee, “An application of interval-valued intuitionistic fuzzy sets for medical diagnosis of headache,” Int J Innov Comput I, vol. 7, no. 5, pp.2755-2762, May. 2011. [7]N. T. Thong, “HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis,” Expert Syst Appl, vol. 42, no. 7, pp. 3682-3701, May. 2015, DOI: 10.1016/j.eswa.2014.12.042. [8]A. Kumar and M. Kaur, “A ranking approach for intuitionistic fuzzy numbers and its application,” J Appl Res Technol, vol. 11, no. 3, pp. 381-396, Jun. 2013, DOI: 10.1016/S1665-6423(13)71548-7. [9]F. E. Boran, S. Genç, M. Kurt, and D. Akay, “A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method,” Expert Syst Appl, vol. 36, no. 8, pp. 11363-11368, Oct. 2009, DOI: 10.1016/j.eswa.2009.03.039. [10]M. Izadikhah, “Group decision making process for supplier selection with TOPSIS method under interval-valued intuitionistic fuzzy numbers,” Advances in Fuzzy Systems, vol. 2012, pp. 1-14, Nov. 2011, DOI: 10.1155/2012/407942. [11]K. Devi and S. P. Yadav, “A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method,” Int J Adv Manuf Tech, vol. 66, no. (9-12), pp. 1219-1229, Oct. 2013, DOI 10.1007/s00170-012-4400-0. [12]Z. Yue and Y. Jia, “A group decision making model with hybrid intuitionistic fuzzy information,” Comput Ind Eng, vol. 87, pp. 202-212, Sept.2015, DOI: /10.1016/j.cie.2015.05.016. [13]P. Gupta, M. K. Mehlawat, and N., Grover, “Intuitionisticfuzzy multi-attribute group decision-making with an application to plant location selectio