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

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 b...

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Detalles Bibliográficos
Autores: Chaghooshi, Ahmad Jafarnejad, Fathi, Mohammad Reza, Kashef, Mojtaba
Tipo de recurso: artículo
Fecha de publicación:2012
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/12682
Acceso en línea:https://hdl.handle.net/2099/12682
Access Level:acceso abierto
Palabra clave:Fuzzy systems
Robotics
entropy
TOPSIS
fuzzy set
robotic systems
Sistemes borrosos
Robòtica industrial
Àrees temàtiques de la UPC::Informàtica::Robòtica
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
Descripción
Sumario: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.

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