In this paper, Fuzzy concept hierarchies are used for multi-level association rule mining from large datasets via Attribute-Oriented Induction approach [1]. In this the process of fuzzy hierarchical induction approach is used and extends it with two new characteristics which improve applicability of the original approach in data mining. The proposed drilling-down approach of fuzzy induction mod...

Inventory allocation decisions in a distribution system concern issues such as how much and where stock should be assigned to orders in a supply chain. When the inventory level of an inventory point is lower than the total number of items ordered by lower echelons in the chain, the decision of how many items to allocate to each “competing” order must take into consideration the trade-off betwee...

Abstract This paper considers the economic production quantity (EPQ) problem with backorder in which the setup cost, the holding cost and the backorder cost are characterized as fuzzy variables, respectively. Following expected value criterion and chance constrained criterion, a fuzzy expected value model (EVM) and a chance constrained programming (CCP) model are constructed. Then fuzzy simulat...

In crisp production inventory problem, let q, a, b, d, R and r be the quantity produced per cycle, the holding cost, production cost, production quantity per day, the total demand quantity and the demand quantity per day, respectively. We consider three fuzzification methods. Firstly, we fuzzify q, a, b, d, R and r to triangular fuzzy numbers. Secondly, we fuzzify d and r to triangular fuzzy nu...

A production inventory model is formulated for a single item. Here,demand varies with the on-hand inventory level and production price. Shortages are allowed and fully backlogged. The time gap between the decision and actual commencement of production is termed as ’preparation time’ and is assumed to be crisp/imprecise in nature. The set-up cost depends on preparation time. The fuzzy preparatio...

background and aims: depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. so, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. use of this memory is latent in synthetic neuro-fuzzy algorithm. present article in...

In this paper, we introducea deterministic Economic Order Quantity Inventory Modelwith exponential demand rate, Weibull Distribution for deterioration and time dependent holding cost in crisp and fuzzy environment.Also each cycle Shortages are allowed and partially backlogged to suit present day competition in the market objectives. The backlogging rate is variable and as depends on the length ...

This paper develops a fuzzy inventory model for variable deteriorating items with time dependent two parameter Weibull demand rate. Shortages are allowed and partially backlogged. Each cycle has shortages, which have been partially backlogged to suit present day competition in the market. This inventory system follows a time varying holding cost. Here, the retailer is allowed a trade credit off...

In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper ...

This paper presents a mathematical model of inventory control problem for determining the minimum total cost of multi-item multi-objective inventory model with fuzzy estimated price dependent demand, fuzzy deterioration and possible constraints. Here, three constraints we have taken; they are warehouse space constraint, investment amount constraint and the third constraint is the percentage of ...