Work

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

Year: 2012

Type: article

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.

Source: Journal of Industrial Engineering and Management

DOI: 10.3926/jiem.397

Authors: Ahmad Jafarnejad Chaghooshi, Mohammad Reza Fathi, Mojtaba Kashef

Institution: University of Tehran

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $533