Prioritization of human capital measurement indicators using fuzzy AHP
By F. Tunç Bozbura, Ahmet Beşkese, C. Kahraman. Expert systems with applications, 2007
499 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/da253e5f0c53efca6df8d97b64ebc63fa09c6851
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In Management Science and Operations Research
- Huchang Liao
- Zeshui Xu
- C. Kahraman
- David Hasin
- Golam Kabir
- Nese Yalçin Seçme
- Ali Bayrakdaroglu
- Amy Hsin-I Lee
In Strategy and Management
- C. Kahraman
- Huchang Liao
- Zeshui Xu
- David Hasin
- Golam Kabir
- Amy Hsin-I Lee
- Chang-Fu Hsu
- Hsiao-Chu Hung
Citations in the corpus
- Intuitionistic Fuzzy Analytic Hierarchy Process (2014, methodology): “Since Chang’s method is relatively easier than the other FAHP approaches and similar to the conventional AHP, it has been applied, as a representation of the FAHP, to many different areas, such as quality function deployment [12], transportation management [13], technology management [14], global su”
- A green supplier selection model for high-tech industry (2009, methodology): “Bozbura et al. (2007) applies the FEAHP to prioritize human capital measurement indicators. Chan and Kumar (2007) adopt FEAHP to provide a framework for the organization to select the global supplier considering risk factors.”
- Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS (2009, background): “Bozbura, Beskse, and Kahraman (2007) proposed a fuzzy AHP model to improve the quality of the prioritization of human capital measurement indicators under fuzziness.”
- A HYBRID FUZZY AHP-MABAC MODEL: APPLICATION IN THE SERBIAN ARMY – THE SELECTION OF THE LOCATION FOR DEEP WADING AS A TECHNIQUE OF CROSSING THE RIVER BY TANKS (2018, unknown): “In Carnero (2014), Bozbura et al. (2007), Isaai et al. (2011), Deng et al. (2014) Junior et al. (2014).”
- COMPARATIVE ANALYSIS OF AHP AND FUZZY AHP M ODELS FOR M ULTICRITERIA INVENTORY CLASSIFICATION (2011, methodology): “…al., 2007; Kahraman et al., 2004; Kabir & Hasin, 2011b): Step 1: The value of fuzzy synthetic extent with respect to i th object is defined as= ∑ ⊗ [∑ ∑ ] To obtain ∑ M gijmj=1 perform the fuzzy addition operation of m extent analysis values for a particular matrix such that∑ Mgijmj=1 = ∑ aj, ∑…”