OPTIMIZING KNOWLEDGE MANAGEMENT PROCESSES WITH ADAPTIVE FUZZY DECISION-MAKING TECHNIQUES
DOI:
https://doi.org/10.29121/shodhkosh.v4.i2ECVPAMIAP.2023.6207Keywords:
Knowledge Management, Fuzzy Logic, Adaptive Decision-MakingAbstract [English]
Knowledge management (KM) is a very valuable part of an organization to manage information, to share the knowledge and enhance decision-making. Conventional decision-making techniques do not work well in uncertain, incomplete or vague data. Fuzzy logic can provide a solution of making decisions more adaptive and flexible so as to deal with such uncertainties. This paper is about how the adaptive use of fuzzy decision-making methods can enhance such KM activities like knowledge storage, sharing and implementation. The study adopts descriptive statistics and hypothesis test as the main dimensions of analyzing the application of the fuzzy techniques within realistic business settings. The findings reveal that adaptive fuzzy systems assist organizations in the management of knowledge and make better decisions in the state of uncertainty.
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