A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies
AbstractAs companies operate in a competitive environment, where the struggle for survival on the market is rather tough, the top management face new challenges to identify methods, and even techniques, which allows it to select from the market those assets that provide an optimal ratio between the acquisition cost and the economic performance. In this context, a fuzzy logic managerial decision tool for the assets acquisition is proposed with the paper. The algorithm has three main components: the matrix of the membership degree of the existing bids to asset selection criteria, using fuzzy triangular numbers; the vector of the global membership degree of the bids to the selection criteria and the maximum of the global membership degree as an inference operator for establishing the validated bids by the algorithm. Two scenarios of asset acquisition were tested. After simulations, it was determined that the proposed fuzzy logic managerial decision tool combines, with very good results, the acquisition cost of the assets with their economic performance. View Full-Text
Share & Cite This Article
Boloș, M.-I.; Bradea, I.-A.; Delcea, C. A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies. Symmetry 2019, 11, 186.
Boloș M-I, Bradea I-A, Delcea C. A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies. Symmetry. 2019; 11(2):186.Chicago/Turabian Style
Boloș, Marcel-Ioan; Bradea, Ioana-Alexandra; Delcea, Camelia. 2019. "A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies." Symmetry 11, no. 2: 186.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.