Application of fuzzy sets with different t-norms in the interpretation of portfolio matrices in strategic management

Abstract

The possible application of fuzzy sets theory in strategic management to the problem of portfolio matrices analysis, used for strategy alternative(s) formulation and selection is described. The values of membership functions of input variables into portfolio matrices are combined with different t-norms: (a) TM(x,y) = min(x, y); (b) TP(x, y) = xy; (c) Sugeno's λ t-norms; (d) Hamacher's t-norm family, for investigating possible different results, but the recommended strategy selection remained the same for all applied t-norms. © 2000 Elsevier Science B.V. All rights reserved.