Abstract --In this paper, we developed an EOQ model for Weibull deteriorating items with linear demand rate in fuzzy environment. Shortages are allowed and partially backlogged. Holding cost, deterioration cost, ordering cost, shortage cost and opportunity cost are assumed as a triangular fuzzy numbers. The purpose of this paper is to minimize the total cost function in fuzzy environment. Grade...

We show that a reinforcement learning method, adaptive critic based approximate dynamic programming, can be used to create fuzzy policy managers for adaptive control of a logistic system. Two different architectures are used for the policy manager, a feed forward neural network, and a fuzzy rule base. For both architectures, policy managers are trained that outperform LP and GA derived fixed po...

In this paper, the control scheme of a wind energy conversion system for remote sites using fuzzy logic is presented. Two fuzzy controllers are proposed: the first one is dedicated to the maximum power point tracking (MPPT) of a variable speed permanent magnet synchronous generator wind turbine. The second fuzzy controller has the the objective to manage both the production and the storage of e...

The growth of biomedical databases has seen a demand for data mining techniques to efficiently and effectively analyse the data contained within. One important consideration is the need to include expert’s opinions within the knowledge discovery process. However, this can be difficult to accomplish when such heuristics are presented in loosely defined, fuzzy terms. We present the use of an Adap...

Fuzzy spatial data mining technique has been developed to extract relationships describing relative positions of classes of objects from raster images. Demand has been increased for complex data in various applications. These complex data can be easily represented and manipulated by Object-oriented systems it is also capable of managing complicated and uncertain relationship existing among them...

This paper considers a capacitated vehicle routing problem with fuzzy random travel time and demand (FRVRP). A chance-constrained multiobjective programming is presented based on fuzzy random theory and converted to a crisp equivalent models under some assumptions. To solve such a multiobjective combinatorial optimization problem, this paper presents a hybrid multiobjective particle swarm optim...

In real life, the degrees of certainty that correspond to one of the same expert can diier drastically, and fuzzy control algoirthms translate these diierent degrees of uncertainty into diierent control strategies. In such situation, it is reasonable to choose a fuzzy control methodology that is the least vulnerable to this kind of uncertainty. We show that this \robustness" demand leads to min...

Industry environment has become competitive because of product’s short life cycle. Competition reaches to extreme, when products are deteriorating which further makes demand uncertain. Generally, in deriving the solution of economic order quantity (EOQ) inventory model, the authors consider the demand rate as constant quantity. But in real life, demand cannot be forecasted precisely which cause...

Abstract In this Paper a multi item EOQ model with stock dependent demand for deteriorating items is considered in fuzzy environment. Inventory costs such as holding cost and setup cost have been represented by exponential membership function and profit, deteriorating rate and total investment constraint are represented by linear membership functions. The model has been solved by fuzzy non-line...

A multi-item single-period stochastic inventory model is formulated in the fuzzy environment with budgetary, floor-space constraints. In this model, probabilistic demand is related to the unit selling price. Here fuzziness is introduced in both the objective function and constraint goals. The problem is solved using the fuzzy nonlinear technique for linear membership functions. The model is ill...