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Article type: Research Article
Authors: Ijadi Maghsoodi, Abteen1 | Hafezalkotob, Arian2 | Azizi Ari, Iman1 | Ijadi Maghsoodi, Sasan3 | Hafezalkotob, Ashkan4; *
Affiliations: [1] Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. E-mails: [email protected], [email protected] | [2] Department of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran. E-mail: [email protected] | [3] Monad Oil Company, Fujairah Free Zone Area F.Z.C., Fujairah, United Arab Emirates. E-mail: [email protected] | [4] College of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran. E-mail: [email protected]
Correspondence: [*] Corresponding author.
Abstract: The selection of waste lubricant oil regenerative technology regarding the complexity of the technologies and financial issues is a complex problem. Some risk factors exist regarding the ratings of technologies on the effective criteria. The current study tackles the selection of the technology based on fuzzy axiomatic design approach considering risk factors. Shannon entropy significance coefficients are computed for criteria. The problem is first solved by considering all criteria and then supplementary solutions are presented by categorizing the criteria to technical and economic groups. Two types of risk factors are identified for the technologies, i.e. general and specific risk factors.
Keywords: waste lubricant oil regenerative technology, MCDM, FAD, Shannon entropy, risk factors
Journal: Informatica, vol. 29, no. 1, pp. 41-74, 2018
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