Evaluating product system behavior using soft computing in product structure modeling

Abstract

Behavior Modeling is always a attentive task in the complex product modeling. It is difficult to monitor different kind of behavior of a product in the physical environment. In the RFLP (Requirement Functional Logical Physical) structure, behavior modeling is accomplished in Function and Logical level. There are several ways to monitor the behavior of a product. In this paper, author made an effort to monitor the behavior of a product system by proposing the Requirement, Function and Logical Block corresponds to RFLP structure and then monitor and improve the behavior of a product by using soft computing. In this context, Mamdani FIS (Fuzzy Inference System) and Adaptive Nuero FIS are used, which can evaluate the system behavior. Soft Computing, not only provide the solution of system behavior monitoring but also improve the performance of a system in terms of behavior such that product system are able to work efficiently.