2016
DOI: 10.1080/18756891.2016.1237182
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Evaluation of Knowledge Management Tools by Using An Interval Type-2 Fuzzy TOPSIS Method

Abstract: Knowledge management (KM) systems can provide businesses a wide range of advantages and efficiency improvements. Increasing competition forces companies to seek new ways to streamline their processes and manage their information and knowledge better, leading to increased demand for KM solutions. Considering various needs of organizations and diverse features of available KM alternatives, choosing the most suitable KM tool is an important decision for businesses. The contribution of this paper to the KM literat… Show more

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Cited by 18 publications
(6 citation statements)
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“…(18) and given in Table 21. For more details about interval type-2 fuzzy TOPSIS calculation examples, please see (Chen & Lee, 2010;Erdoğan & Kaya, 2016;Büyüközkan et al, 2016).…”
Section: Interval Type-2 Fuzzy Topsis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…(18) and given in Table 21. For more details about interval type-2 fuzzy TOPSIS calculation examples, please see (Chen & Lee, 2010;Erdoğan & Kaya, 2016;Büyüközkan et al, 2016).…”
Section: Interval Type-2 Fuzzy Topsis Methodsmentioning
confidence: 99%
“…Baykasoğlu and Gölcük (2017) combined interval type-2 TOPSIS method with the interval type-2 DEMATEL method for the SWOT-based strategy selection problem. Büyüközkan et al (2016) proposed a group decision framework based on the interval type-2 fuzzy TOPSIS method to evaluate and select the appropriate information management tool. Küçük and Ecer (2008) determined the performance of suppliers and the importance levels of supplier selection factors for a small and medium enterprises that operating in Bayburt with AHP method.…”
Section: Introductionmentioning
confidence: 99%
“…Because of the numerous existing KM tools and practices, it is hard to choose the right ones, to know if they are suitable to the needs of the firm or if it will be able to use them. This is why multiple tools and practices selection systems were created, such as AHP (Grimaldi and Rippa, 2011), the House of KM Tools Selection (HoKMTS) (Holland and Dawson, 2011), or fuzzy logic methodologies (Büyüközkan et al, 2016). They try to solve this selection problems but are complex to set up and use without preliminary training.…”
Section: Km Tools and Practicesmentioning
confidence: 99%
“…Bu yaklaşımın önemi bulanık mantık ve ÇKKV yöntemlerinden yararlanarak iş sağlığı ve güvenliği konusunda risklerin yanında önlemlerin de önceliklendirilmesidir. [34] tarafından yapılan çalışmada; şirketler için farklı üreticilerin mevcut ürünlerini karşılaştırmaları için aralık tip-2 TOPSIS tekniği geliştirilmiş. Daha sonra önerilen bu teknik ile tip-1 bulanık kümelerle yapılan ürün değerlendirmeleri karşılaştırılmış ve ürün değerlendirmesinde tip-2 kümelerin tip-1 bulanık kümelere göre daha başarılı sonuçlar ürettiği gözlenmiştir.…”
Section: Gi̇ri̇ş (Introduction)unclassified