Decision Support System for Turning Conditions based on Threshold Logic and Fuzzy Inference

Abstract

The present study is an attempt to build a consulting system for decision-making about turning conditions. Our primary concern was with building a system which attached a great importance to the subjective knowledge of the human experts rather than placing emphasis on objectiveness based on numerical information. The procedures used are as follows. (1) Because the memories of the experts deeply versed in the question of machinability are perfectly possible to be systematized by the threshold logic, the reasonable turning conditions can be derived from the logic. (2) The experience rules of the experts for dissolving the poor machinability can be expressed by the fuzzy relation. Therefore, the cause can be inferred by using an inverse operation of the composition of the fuzzy relation, and some pertinent suggestions can be made.