Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section
Abstract: 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.
Author: Ahmad Jafarnejad
Chaghooshi, Mohammad Reza Fathi, Mojtaba Kashef
Journal Code: jptindustrigg120012
