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All Journal Indonesian Journal of Engineering and Science (IJES)
Kim, Tong il
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Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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SELECTION METHOD OF GRINDING MACHINE AND AIR CLASSIFIER IN GRINDING-CLASSIFICATION PROCESS BY USING FSFDMW-TOPSIS Sin, Tong ho; Kim, Tong il; Kim, Chang Il
Indonesian Journal of Engineering and Science Vol. 6 No. 3 (2025): Table of Contents: In progress
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v6i3.192

Abstract

Type selection of grinding machines and air classifiers is a critical issue in dry grinding–classification process design, particularly under uncertain environments where statistical data are unavailable and expert judgments dominate decision making. This study proposes a fuzzy group decision-making framework integrating fuzzy equivalence clustering, fuzzy score function with decision makers’ weights (FSFDMW), and TOPSIS to enhance selection reliability. First, main criteria are identified using fuzzy equivalence clustering. Then, an n-dimensional fuzzy environment is constructed to determine the weights of decision makers and criteria. Finally, a TOPSIS procedure based on fuzzy score functions is applied to rank alternatives. Application to the dental gypsum grinding–classification process shows that the impact mill achieves the highest priority value (0.742), while the MS type air classifier obtains the highest priority value (0.96417). The proposed framework improves decision accuracy while maintaining computational simplicity.
Co-Authors Kim, Chang Il Sin, Tong ho