Over the years since the advancement of inventory management and fuzzy set theories, a
vast number of studies have been published to integrate these concepts. Nonetheless, no …

This paper investigates a relationship between the fuzziness of a classifier and the
misclassification rate of the classifier on a group of samples. For a given trained classifier …

This paper deals with an economic production model for deteriorating items with ramp type
demand rate. A single item is produced and the finite rate of production is proportional to the …

Inventory control is one of the most critical issues in corporate management. Many
mathematical models have been developed to optimize control strategies for the companies' …

Based on the extensive operations of polygonal fuzzy numbers, a GA-BP hybrid algorithm
for polygonal fuzzy neural network is designed. Firstly, an optimal solution is obtained by the …

In this study, we investigate an integrated production-inventory system consisting of a single-
vendor and single-buyer. The buyer manages its inventory level periodically at a certain …

There are various kinds of supervised classification techniques such as Bayesian classifier,
k nearest neighbor, neural network and rule based classifiers. A kind of supervised …

We construct a kind of linguistic truth-valued intuitionistic fuzzy lattice based on linguistic
truth-valued lattice implication algebras to deal with linguistic truth values. We get some …

As a generalization of K-nearest neighbor (K-NN) algorithm, the fuzzy K-nearest neighbor
(fuzzy K-NN) algorithm was originally developed by Keller in 1985 to overcome one of the …

This paper presents an inventory model for deteriorating items with a constant rate of
deterioration and the demand rate is flexible which depends on the price, stock as well as …