An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise
Based on Karnik-Mendel (KM) algorithm, we propose an analytical solution to fuzzy TOPSIS method, and apply it in personnel selection problems for knowledge-intensive enterprise. Compared with the existing TOPSIS method, it obtains accurate fuzzy relative closeness instead of the crisp point or approximate fuzzy relative closeness estimate. The global picture of fuzzy relative closeness provides a way to further discuss the inner properties of fuzzy TOPSIS method.
analytical solution fuzzy topsis personnel selection karnikmendel (km) algorithm