Decision Support systems are a specific class of Information Systems that support business and organizational decision-making activities. They are interactive software-based systems intended to help decision-makers to take decisions, to identify and solve problems, all that accomplished by compiling useful information from simple data, documents, personal knowledge, and/or business models.
Fuzzy logic is a powerful problem-solving methodology with a myriad of applications in embedded control and information processing. A simple way to draw definite conclusions from vague, ambiguous or imprecise information.
In a sense, fuzzy logic resembles human decision making with its ability to work with approximate data and find precise solutions.
Fuzzy Logic allows the modelling of complex systems using a higher level of abstraction originated from knowledge and experience.
Fuzzy Logic allows the expression of knowledge with subjective concepts such as “very hot”, “bright red”, and a “long time” which are mapped into numeric ranges.
Holos bridges those two areas of expertise, bringing the use of Fuzzy Logic into the design of more intuitive decision support systems that are not based on crisp rules thus facilitating the encapsulation of knowledge.