Investment Decision Making Using Fuzzy Logic and Ahp

The purpose of this article is to provide an application of a fuzzy logic model in conjunction with AHP to mitigate the uncertainty associated with the economic-financial analysis of companies in the cyclical consumption sector in Brazil, expanding the scope of accounting information, and helping managers in making investment decisions. Experts have judged companies based on indicators from specialized literature. Fuzzy logic was used to manage with the valuation of the uncertainty and the AHP method was used to rank companies based on Liquidity, Indebtedness and Profitability criteria. This approach provides a tool to assist managers in decision making. The interpretation of indicators through the fuzzy inference system and selection of alternatives is capable of providing decision support, dealing with the uncertainty of the decision-making process. This work contributes with knowledge in decision-making support systems. This research brings significant contributions: (i) it improves the quality of information under uncertainties and unpredictability; as is the case with investment decisions; and (ii) sheds light on managers and stakeholders in their economic-financial decision-making journeys; and (iii) signals the prominence of intelligent systems to support complex decisions. It is recommended to collect data from more experts in judging the criteria of importance.