Henry L. W. Nuttle

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Fuzzy Data Envelopment Analysis (FDEA) is a tool for comparing the performance of a set of activities or organizations under uncertainty environment. Imprecise data in FDEA models is represented by fuzzy sets and FDEA models take the form of fuzzy linear programming models. Previous research focused on solving the FDEA model of the CCR (named after Charnes,(More)
In this paper, we present a new learning method for back propagation training algorithms for neural networks. With the objective of reducing training time, we "rst introduce a curved search method with a "xed step size for determining weight adjustments. We then introduce a fuzzy controller for adjusting the step size to further reduce the training time and(More)
In this paper, we investigate the universal approximation property of Radial Basis Function (RBF) networks. We show that RBFs are not required to be integrable for the REF networks to be universal approximators. Instead, RBF networks can uniformly approximate any continuous function on a compact set provided that the radial basis activation function is(More)
The Due-Date Bargainer is a useful tool to support negotiation on due-dates between a manufacturer and its customers. To improve the computational performance of an earlier version of the Due-Date Bargainer, we present a new soft computing approach. It uses a genetic algorithm to nd the best priority sequence of customer orders for resource allocation and(More)
This paper introduces a B ezier curve-based mechanism for constructing membership functions of convex normal fuzzy sets. The mechanism can fit any given data set with a minimum level of discrepancy. In the absence of data, the mechanism can be intuitively manipulated by the user to construct membership functions with the desired shape. Some numerical(More)
Current research on auctions is mainly based on the game theory. In the 2rst part of this paper, we propose a fuzzy set based formulation of auctions. We de2ne fuzzy sets to represent the seller and buyers’ valuations, bid possibilities and win possibilities. Analyzing the properties of these fuzzy sets, we study fuzzy versions of discriminating and(More)
The Multi-Customer Due-Date Bargainer is a tool to support negotiation on due-dates between a manufacturer and its customers. It uses a genetic algorithm to nd the best priority sequence of customer orders for resource allocation and fuzzy logic operations to allocate the resources and determine the order completion times following the priority sequence of(More)