Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard

By Ufuk Cebeci. Expert systems with applications, 2009

398 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f4f7b5dc45d9a7e0b0c9c0307ce0a5081ab0d87a

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In Management Information Systems

In Management Science and Operations Research

Citations in the corpus

Criteria in AHP: A Systematic Review of Literature (2015, methodology): “Regarding FAHP, Saaty [43] said that consistency ratio (CR) of the pairwise comparison matrix is a measure used in AHP to improve the validity of the outcome, i.e., when a matrix of comparison has inconsistency, the decision maker must change his/her opinion about some comparison to improve the cons”
Review of the main developments in the analytic hierarchy process (2011, neutral): “Li & Huang, 2009; Yang, Chuang, & Huang, 2009), operators evaluation (Sen & ÇInar, 2010), drugs selection (Vidal, Sahin, Martelli, Berhoune, & Bonan, 2010), site selection (Önüt, Efendigil, & Soner Kara, 2009), software evaluation (Cebeci, 2009; Chang, Wu, & Lin, 2009), evaluation of website perform”
A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain (2012, methodology): “Among those published studies for AHP application in the fashion industry, Cebeci (2009) attempted to apply the fuzzy AHP for selecting different ERP systems, together with balanced scorecard.”
A review of fuzzy AHP methods for decision-making with subjective judgements (2020, methodology): “ERP selection 14 Cebeci (2009) TFN 5 Geometric mean COA -”
Strategic analysis of healthcare service quality using fuzzy AHP methodology (2011, background): “Healthcare quality is important because human health is in subject and it is crucial to provide healthcare service that meets or exceeds patients’ expectations.”