Contents 1. Introduction
Real world dilemmas, and especially industry related ones, are set apart from academic ones from several basic points of views. The difference appears since definition of the “problem's solution” notion. In fact, academic (called also sometime theoretical) approach often begins by problem's constraints simplification in order to obtain a “solvable” model (here, solvable model means a set of mathematically solvable relations or equations describing a behavior, phenomena, etc…). If the theoretical consideration is an mandatory step to study a given problem's solvability, for a very large number of real world dilemmas, it doesn't lead to a solvable or realistic solution. Difficulty could be related to several issues among which:
large number of parameters to be taken into account (influencing the behavior) making conventional mathematical tools inefficient,
strong nonlinearity of the system (or behavior), leading to unsolvable equations,
partial or total inaccessibility of system's relevant features, making the model insignificant,
subjective nature of relevant features, parameters or data, making the processing of such data or parameters difficult in the frame of conventional quantification,
necessity of expert's knowledge, or heuristic information consideration,
imprecise information or data leakage.
