What is Fuzzy.One?

Fuzzy.One is the realisation that information and systems require constant upgrading to improve their performance. Information systems need to be constantly upgraded to provide real-time data for decision making as well as provide solutions for situations that might arise for a risk mitigation plan. It also demands that we provide decision-makers with immediate solutions so that they do not need to waste time trying to solve a problem.

The solutions are already in the system, and now its time to evaluate which one is the correct one. By reducing the problem into categorical issues, and by providing solutions for each instance, we have created a P = NP environment for your decision-making process. However, for this environment to exist there needs to be a vast library of instances and solutions, where every instance has been processed and a solution provided. In many cases, these instances have already occurred, and in others have not.

Fuzzy.One is based on a library of instances and solutions that have been validated and uses this constantly updated library of data to create new instances with new solutions for instances that have not occurred but are part of the instances in the system. Essentially, Fuzzy.One creates new scenarios and provides solutions. This is not a binary process, it is a fuzzy one where fuzzy logic drives the system to create “like” instances that come in ranges and provides solutions based on the solutions that have already worked for “like” instances. Supply chain and operations systems all suffer from instances of risk, and Fuzzy.One approaches real-life situations and creates solutions based on validated solutions that have already worked.

These solutions are then presented as options for the decision-makers to decide which outcome they prefer, taking into account the issue, the solutions and the projected results that the solutions provide.

Results are presented in the form of utilization of resources, time and cost.