As companies operate in a competitive environment, where the struggle for survival on\nthe market is rather tough, the top management face new challenges to identify methods, and even\ntechniques, which allows it to select from the market those assets that provide an optimal ratio\nbetween the acquisition cost and the economic performance. In this context, a fuzzy logic managerial\ndecision tool for the assets acquisition is proposed with the paper. The algorithm has three main\ncomponents: the matrix of the membership degree of the existing bids to asset selection criteria,\nusing fuzzy triangular numbers; the vector of the global membership degree of the bids to the\nselection criteria and the maximum of the global membership degree as an inference operator for\nestablishing the validated bids by the algorithm. Two scenarios of asset acquisition were tested.\nAfter simulations, it was determined that the proposed fuzzy logic managerial decision tool\ncombines, with very good results, the acquisition cost of the assets with their economic performance.
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