A Study of the Effect of Weighted Exponent on the Fuzzy Clustering of Machine Cells

Grouping of machine cells on the basis of parts similarity has been a subject of considerable research interest. Various mathematical modeling and heuristic methods and other clustering methods has been applied. Fuzzy logic in grouping of machines cells Is needed when the degree of uncertainaity in placing machine in a particular cell Is very high. Fuzzy clustering uses membership values which decide the presence or the degree of membership in a particular cell. This paper Investigates the effect of weighted exponent (degree of fuzziness) in using fuzzy clustering algorithm for formation of machine cells. This paper also shows the result of varying the weighted exponent on the robustness of the algorithm.