A Solution to Multi Criteria Robot Selection Problems Using Grey Relational Analysis
نویسنده
چکیده
Grey relational analysis (GRA) is a vital instrument suitable for optimal selection which can be used for modelling, forecasting and decision making. Grey theory gives reliable solution of systems in which the model is poor with little or incomplete information. This paper aims to use GRA for solving Multi Criteria Robot Selection Problems (MCRSPs). In this paper, GRA steps are implemented using a fast computational tool on two practical cases and results were compared with previous methodologies to confirm the validity of the GRA approach. Results show that the distinguishing coefficient has minimal impact on the GRA solution, thereby making this approach appropriate for accurate modelling of MCRSPs. KeywordsMCRSPs; grey theory; grey relational analysis; distinguishing coefficient
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