Abstract
Nowadays firms are required to reach high levels of specialisation
in order to increase their competitiveness in complex markets. Knowledge
management plays a fundamental role in this process as the correct
implementation of strategies is determined by the information transfer
and dissemination within the organisation. In this paper, a fuzzy
expert system focused on increasing accuracy and quality of the knowledge
for decision making is designed. A model based on fuzzy rules to
simulate the behavior of the firms, is presented under the assumption
of determined input parameters previously detected and an algorithm
is developed to achieve the minimal structure of the model. The result
is a fuzzy expert system tool, called ESROM, which gives valuable
information to help managers to improve the achievement of the strategic
objectives of the company. A main contribution of this work it that
the system is general and can be adapted to different scenarios.
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