In this paper, we consider fuzzy inventory with backorder. First, we fuzzify the storing cost a, backorder cost b, cost of placing an order c, total demand r, order quantity q, and shortage quantity s as the triangular fuzzy numbers in the total cost. From these, we can obtain the fuzzy total cost. Using the signed distance method to defuzzify, we get the estimate of the total cost in the fuzzy...

Conflict-based diagnosis is a recently proposed method for model-based diagnosis, inspired by consistency-based diagnosis, that incorporates a measure of data conflict, called the diagnostic conflict measure, to rank diagnoses. The probabilistic information that is required to compute the diagnostic conflict measure is represented by means of a Bayesian network. The general diagnostic engine is...

This paper presents an economic order quantity (EOQ) inventory model for imperfect quality items with receiving a reparative batch and overlapping in dense fuzzy environment Here, the are identified by screening divided into either scrap or reworkable items. The kept store until next received. Afterwards, returned to supplier be reworked. Also, discount on purchasing cost is employed as offer o...