Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology
By Alev Taskin Gumus. Expert systems with applications, 2009
553 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/798448b369ddd155eefe58c6c395f474a636e073
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management of Technology and Innovation
- Edmundas Kazimieras Zavadskas
- J. Garza‐Reyes
- Charbel José Chiappetta Jabbour
- Gülçin Büyüközkan
- Gizem Çifçi
- Ana Beatriz Lopes de Sousa Jabbour
- Tossapol Kiatcharoenpol
- Joshua Ignatius
In Management Science and Operations Research
- Edmundas Kazimieras Zavadskas
- Devika Kannan
- Tossapol Kiatcharoenpol
- Pornwasin Sirisawat
- Charbel José Chiappetta Jabbour
- Gülçin Büyüközkan
- Gizem Çifçi
- Ana Beatriz Lopes de Sousa Jabbour
In Statistics and Probability
- Edmundas Kazimieras Zavadskas
- J. Garza‐Reyes
- Charbel José Chiappetta Jabbour
- Gülçin Büyüközkan
- Gizem Çifçi
- Ana Beatriz Lopes de Sousa Jabbour
- Tossapol Kiatcharoenpol
- Joshua Ignatius
Citations in the corpus
- Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers (2018, methodology): “Gumus (2009) adopted fuzzy-AHP and TOPSIS to evaluate hazardous waste transportation firms.”
- Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy (2019, background): “Group size can affect the results, but an over large decision-making group is also not recommended; it is suggested to be between 5 and 50 (Gumus 2009).”
- Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company (2014, methodology): “Hence, the fuzzy TOPSIS approach should be more appropriate and effective than conventional TOPSIS (Gumus, 2009), and fuzzy TOPSIS can be successfully used in the various application areas of MCDM problems (Table 1d).”
- A state-of the-art survey of TOPSIS applications (2012, methodology): “Identifying the most competitive port for developing a large-scale logistic center Extended TOPSIS with fuzzy Fazlollahtabar, Mahdavi, Talebi Ashoori, Kaviani, and Mahdavi-Amiri (2011) Selecting the best suppliers in the electronics market AHP, multi-objective nonlinear programming and multiple line”
- A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers (2012, methodology): “Gumus (2009) introduced evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology.”