Abstract
The objective of the presented work is to implement multi-criteria decision making by optimizing TOPSIS using fuzzy logic. The values have been calculated using MATLAB and presented in the article. The value of closeness coefficient experiences a change when fuzzy TOPSIS is applied, this has been explained in the article. The study conducted attempts to explain this change of value of closeness coefficient, and its role in decision making. The Fuzzy TOPSIS can make the selection process autonomous. The similarity to ideal solution could be done by running the script for the formulation in MATLAB. The criteria matrix generated is analyzed using TOPSIS and then Fuzzy TOPSIS to select the desirable electric molding machine.
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Trivedi, A., Jha, S.K., Choudhary, S., Shandley, R. (2019). Fuzzy TOPSIS Multi-criteria Decision Making for Selection of Electric Molding Machine. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_37
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DOI: https://doi.org/10.1007/978-981-10-8201-6_37
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