Modelling knowledge related to the allocation of modular jigs for part fixturing using fuzzy reasoning

One the problems a workholder designer faces in attempting to gain knowledge about the modelling of the “wear” in a positioning system by means of allocating positioning devices to each “virtual”locating point is that this knowledge is often verbalized by experts in an imprecise and uncertain way. Knowledge comes from technological know-how, and is developed through experience, personal habits and production-specific requirements. Nevertheless, current modelling of “expert knowledge” does not allow us to represent the different semantics (such as imprecision and uncertainty) that are related to it. In this paper, we present a method based on fuzzy reasoning that is able to support the modelling of these different knowledge semantics .