Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/188481 
Year of Publication: 
2012
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 5 [Issue:] 1 [Publisher:] OmniaScience [Place:] Barcelona [Year:] 2012 [Pages:] 102-114
Publisher: 
OmniaScience, Barcelona
Abstract: 
Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon's Entropy. After that, fuzzy TOPSIS is utilized to rank the alternatives. Then we select the best Industrial Robotic System based on these results. Findings and Originality/value: The outcome of this research is ranking and selecting industrial robotic systems with the help of Fuzzy Shannon's Entropy and Fuzzy TOPSIS techniques. Originality/value: This paper offers a new integrated method for industrial robotic system selection.
Subjects: 
entropy
TOPSIS
fuzzy set
robotic systems
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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