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Symmetry 2019, 11(2), 186; https://doi.org/10.3390/sym11020186

A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies

1
Department of Finance and Banks, University of Oradea, Oradea 410087, Romania
2
Department of Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest 010552, Romania
*
Author to whom correspondence should be addressed.
Received: 18 December 2018 / Revised: 16 January 2019 / Accepted: 22 January 2019 / Published: 5 February 2019
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Abstract

As 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
Keywords: investments optimizations; fuzzy logic algorithm; decision making process; cash-flow generating sources investments optimizations; fuzzy logic algorithm; decision making process; cash-flow generating sources
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Boloș, M.-I.; Bradea, I.-A.; Delcea, C. A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies. Symmetry 2019, 11, 186.

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