Abstract
The authors attempt to model a decision-making mechanism; which can fix multiple robot characteristics and can aid in investigating robots status for a particular manufacturing arena. The work exposed a series of applicable robot characteristics; which differentiated their working capacity and defines their value. A simple additive weighting (SAW) mechanism under a fuzzy concept is presented for investigating the status of industrial robots; which incorporates comprehensive aspects for sustainable robot selection. The authors have extended the application field of fuzzy sets theory and illustrated the significant application of linguistic terms in the robot decision-making problem. The work compounds fuzzy sets theory with SAW techniques and thus serves a flavor of fuzzy concept and a SAW technique under single platform. The study reveals the course of action for executing the proposed work by the managers. The work has applied fuzzy linguistic terms for griping the appropriate perceptions of the decision makers and applied the conception of SAW methodology to yield the decision results.
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