"Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In binary sets with binary logic, in contrast to fuzzy logic named also crisp logic, the variables may have a membership value of only 0 or 1. Just as in fuzzy set theory with fuzzy logic the set membership values can range (inclusively) between 0 and 1, in fuzzy logic the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values {true (1), false (0)} as in classic predicate logic.[1] And when linguistic variables are used, these degrees may be managed by specific functions, as discussed below." (Wikipedia)
A successful business is derived from an ability to understand risk. A quantified risk is the sum value of the total variables associated with its efficient function and each critical exit strategy. By controlling the most potentially impactful variables, a business can limit its risk, thus accomplish its goals with less effort. A business manager must look beyond the variables that are impossible to control so a clear vision of controllable variables emerge.
Often, our inability to accept that there are variables that we can not control keeps us from committing to elevated risk. When the uncontrollable variables can be accepted as a constant, focus of energy can be placed on the controllable variables. Only then can fruit hang low...
