A fuzzy expert system for rigging system design

Abstract EN

This paper presents a fuzzy expert system that classifies cast component features and designs the rigging system in sand casting.

The heuristic rules encoded inside the system were extracted from expertise and published literature.

The rules consist of the conclusion for condition connected by IFTHEN clauses to judge the relationship between the classification and rigging system design.

Input and output variables are defined by fuzzy sets which deals explicitly with uncertainty associated with knowledge in the heuristic rules.

Conclusions inferred from input parameters were combined through inference and defuzzification process.

A design condition chart was developed to evaluate fuzzy system results.

The rigging system design elements were analyzed based on: membership values, design and cost status in the chart KEYWORDS: fuzzy expert system, classification system, rigging system, membership, design control.