A three-stage fuzzy neutrosophic decision support system for human resources decisions in organizations
Yükleniyor...
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Inc.
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study proposes an integrated Decision Support System (DSS) with Multi-Criteria Decision-Making (MCDM)
to evaluate trainers in organizations and choose the most suitable one(s) for a training program. The clustering
stage determines the most appropriate number of trainees to be assigned to a trainer. The proposed model
also considers the training budget and the constraint limiting the number of assignments. The proposed model
has three stages: Delphi, the Interval-Valued Neutrosophic Analytic Hierarchy Process (IVN-AHP), and Fuzzy
C-Means (FCM). The model’s input is expert opinions on various criteria, the candidate assessment score, and
the bi-comparison of agreed criteria. Outputs are weights, and the members of each cluster represent possible
candidates. We present a case study to demonstrate the applicability of the proposed DSS in a training program
assessment. Additional applications of the proposed system include recruitment and promotion
Açıklama
Anahtar Kelimeler
Analytic hierarchy process, Decision support system, Fuzzy c-means algorithm, Human resources analytics, Multi-criteria decision-making, Neutrosophic sets
Kaynak
Decision Analytics Journal
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
7
Sayı
Künye
Yiğit, F. (2023). A three-stage fuzzy neutrosophic decision support system for human resources decisions in organizations. Decision Analytics Journal, 100259.
