publication . Article . 2012

Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section

Ahmad Jafarnejad Chaghooshi; Mohammad Reza Fathi; Mojtaba Kashef;
Open Access
  • Published: 01 Jan 2012 Journal: Journal of Industrial Engineering and Management, volume 5 (issn: 2013-8423, eissn: 2013-0953, Copyright policy)
  • Publisher: Omnia Publisher SL
  • Country: Spain
<p><strong>Purpose:</strong> The aim of this study is applying a new method for Industrial robotic system selection.</p><p><strong>Design/methodology/approach:</strong> 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.</p><p><strong>Findings and Originality/value:</strong> The outcome of this research is ranking and selecting industrial robotic systems with the help of Fuzzy Shannon’s Entropy and Fuzzy TOPSIS techniques.</p><p><strong>Originality/value:</strong> This paper offers a new i...
Persistent Identifiers
free text keywords: :Informàtica::Robòtica [Àrees temàtiques de la UPC], :Economia i organització d'empreses::Direcció d'operacions [Àrees temàtiques de la UPC], Fuzzy systems, Robotics, entropy, TOPSIS, fuzzy set, robotic systems, Sistemes borrosos, Robòtica industrial, entropy, TOPSIS, fuzzy set, robotic systems, Ranking, Engineering, business.industry, business, Entropy (information theory), Fuzzy logic, Robotic systems, Originality, media_common.quotation_subject, media_common, Fuzzy set operations, TOPSIS, Fuzzy set, Artificial intelligence, lcsh:Industrial engineering. Management engineering, lcsh:T55.4-60.8, lcsh:Social Sciences, lcsh:H, lcsh:Commerce, lcsh:HF1-6182, lcsh:Business, lcsh:HF5001-6182, ddc:650
Related Organizations
Any information missing or wrong?Report an Issue