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

Ahmad Jafarnejad Chaghooshi, Mohammad Reza Fathi, Mojtaba Kashef

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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Year of publication:	2012
Authors:	Chaghooshi, Ahmad Jafarnejad ; Fathi, Mohammad Reza ; Kashef, Mojtaba
Published in:	Journal of industrial engineering and management : JIEM. - Terrassa : Universitat Politècnica de Catalunya (UPC), ISSN 2013-0953, ZDB-ID 2495074-9. - Vol. 5.2012, 1, p. 102-114
Subject:	entropy \| TOPSIS \| fuzzy set \| robotic systems \| Fuzzy-Set-Theorie \| Fuzzy sets \| Entropie \| Entropy \| Roboter \| Robot \| Multikriterielle Entscheidungsanalyse \| Multi-criteria analysis

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Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.3926/jiem.397 [DOI] hdl:10419/188481 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011900019