Decision Making for Department Manager Selection Using Interval Type-2 Fuzzy TOPSIS Method

Yıl 2024, , 1001 - 1006, 15.09.2024

Kemal Gökhan Nalbant

https://doi.org/10.34248/bsengineering.1531161

Öz

Identifying a capable department manager is a vital factor in managing the processes of a department. In order to effectively navigate the competitive market, managers need to possess a certain set of skills. Selecting the person to manage a department can be a difficult task in the context of multi-criteria decision making (MCDM). It is extremely important to make a comprehensive assessment covering various aspects, including technical skills, work experience, personal characteristics, and other relevant factors. The primary objective of this study is to address the challenge of departmental manager selection. To address this challenge, the study evaluates departmental managers using the interval type 2 (IT2) fuzzy approach for the order of preference by similarity to the ideal solution (TOPSIS) technique. In the department manager selection problem, IT2 Fuzzy TOPSIS methodology was applied by using trapezoidal IT2 fuzzy numbers according to 6 main criteria among 4 alternatives. With this method, the best one among the alternatives was selected.

Anahtar Kelimeler

Fuzzy logic, IT2 fuzzy TOPSIS, Multi-criteria decision making, Personnel selection, Department manager

Aralik Tip-2 Bulanik Topsis Yöntemi Kullanarak Departman Müdürü Seçimine Karar Verme

Öz

Yetenekli bir departman yöneticisinin belirlenmesi, bir departmanın süreçlerinin yönetilmesinde hayati önem taşıyan bir faktördür. Rekabetçi piyasada etkin bir şekilde yol alabilmek için yöneticilerin belirli bir dizi yeteneğe sahip olması gerekir. Bir departmanı yönetecek kişiyi seçmek, çok kriterli karar verme (ÇKKV) bağlamında zor bir görev olabilir. Teknik beceriler, iş deneyimi, kişisel özellikler ve diğer ilgili faktörler de dahil olmak üzere çeşitli yönleri kapsayan kapsamlı bir değerlendirme yapmak son derece önemlidir. Bu çalışmanın birincil amacı, departman yöneticisi seçiminde karşılaşılan zorlukları ele almaktır. Bu zorluğu ele almak için çalışma, ideal çözüme dayalı sıralama (TOPSIS) tekniği için aralık tipi 2 (AT2) bulanık yaklaşımını kullanarak departman yöneticilerini değerlendirmektedir. Departman müdürü seçim probleminde 4 alternatif arasından 6 temel kritere göre yamuk AT2 bulanık sayılar kullanarak çözüm yapılmış ve AT2 Bulanık TOPSIS metodolojisi uygulanmıştır. Bu yöntem ile alternatifler arasından en iyisi seçilmiştir.

Anahtar Kelimeler

Bulanık mantık, AT2 bulanık TOPSIS, Çok kriterli karar verme, Personel seçimi, Departman müdürü

Kaynakça

• Abdullah L, Najib L. 2014. A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process. Expert Syst Appl, 41(7): 3297-3305.
• Afshari AR, Cockalo D, Anisseh M. 2014. Linguistic project manager selection. In V International Symposium Engineering Management and Competitiveness, June 19 – 20, Zrenjanin: Serbia, pp: 41.
• Baharin NH, Rashidi NF, Mahad, NF. 2021. Manager selection using Fuzzy TOPSIS method. J Physics Conf Ser, 1988(1): 012057.
• Boran FE, Genç S, Akay D. 2011. Personnel selection based on intuitionistic fuzzy sets. Hum Factor Ergon Man, 21(5): 493-503.
• Cengiz Toklu M. 2018. Interval type-2 fuzzy TOPSIS method for calibration supplier selection problem: A case study in an automotive company. Arab J Geosci, 11: 1-7.
• Chen SM, Lee LW. 2010a. Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst Appl, 37(4): 2790-2798.
• Chen SM, Lee LW. 2010b. Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Syst Appl, 37(1): 824-833.
• Güngör Z, Serhadlıoğlu G, Kesen SE. 2009. A fuzzy AHP approach to personnel selection problem. Appl Soft Comput, 9(2): 641-646.
• Kahraman C, Oztaysi B, Sari IU, Turanoglu E. 2014. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Know Based Syst, 59: 48-57.
• Kelemenis A, Ergazakis K, Askounis D. 2011. Support managers’ selection using an extension of fuzzy TOPSIS. Expert Syst Appl, 38(3): 2774-2782.
• Lee LW, Chen SM. 2008. Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets. International Conference on Machine Learning and Cybernetics, July 12-15, Kunming, China, pp: 3260-3265.
• Mumcu A, Gök M. 2021. Application of fuzzy Ahp and topsis methods for manager selection. Sos Bil Araş Derg, 16(2): 270-280.
• Nalbant KG, Ozdemir S, Ozdemir Y. 2024. Evaluating the campus climate factors using an interval type-2 fuzzy ANP. Sigma J Eng Nat Sci, 42(1): 89-98.
• Nalbant KG. 2022. Using an integrated consistent fuzzy preference relations and interval type-2 fuzzy TOPSIS methodology for personnel selection and promotion. WSEAS Trans Comput, 20: 158-164.
• Nalbant KG. 2024. A methodology for personnel selection in business development: An interval type 2-based fuzzy DEMATEL-ANP approach. Heliyon, 10(1).
• Ozdemir Y, Ozdemir S, Nalbant KG. 2021. A hybrid methodology for prioritizing of store plan alternatives produced with rule-based design. Int J Inf Tech Decis, 20(06): 1685-1709.
• Petrovic‐Lazarevic S. 2001. Personnel selection fuzzy model. Int T Oper Res, 8(1): 89-105.
• Raj Mishra A, Sisodia G, Raj Pardasani K, Sharma K. 2020. Multi-criteria IT personnel selection on intuitionistic fuzzy information measures and ARAS methodology. Iran J Fuzzy Syst, 17(4): 55-68.
• Senturk S, Binici Y, Erginel N. 2016. The theoretical structure of fuzzy analytic network process (FANP) with interval type-2 fuzzy sets. IFAC-Papers OnLine, 49(12): 1318-1322.
• Senturk S, Erginel N, Binici Y. 2017. Interval type-2 fuzzy analytic network process for modelling a third-party logistics (3PL) company. J Mult-Valued Log S, 28: 311-333.
• Torfi F, Rashidi A. 2011. Selection of project managers in construction Firms using analytic hierarchy process (AHP) and fuzzy Topsis: a case study. J Constr Dev Ctries, 16(1): 69-89.
• Yan H, Yang Y, Lei X, Ye Q, Huang W, Gao C. 2023. Regret theory and fuzzy-DEMATEL-based model for construction program manager selection in China. Buildings, 13(4): 838.