Multilayer feedforward networks are universal approximators
Neural Networks
Neural network learning and expert systems
Neural network learning and expert systems
Data Envelopment Analysis: Theory, Methodology and Application
Data Envelopment Analysis: Theory, Methodology and Application
Data Envelopment Analysis: A Comprehensive Text with Models, Applications References, and DEA-Solver Software with Cdrom
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Training and Application of Artificial Neural Networks with Incomplete Data
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
An effective supplier selection method for constructing a competitive supply-relationship
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Supplier selection and performance evaluation in just-in-time production environments
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Structural and Multidisciplinary Optimization
Measuring entrepreneurship: Expert-based vs. data-based methodologies
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-objective decision-making methodology to create an optimal design chain partner combination
Computers and Industrial Engineering
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
International Journal of Decision Support System Technology
Integration of semi-fuzzy SVDD and CC-Rule method for supplier selection
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Supplier evaluation and selection are critical decision making processes that require consideration of a variety of attributes. Several studies have been performed for effective evaluation and selection of suppliers by utilizing several techniques such as linear weighting methods, mathematical programming models, statistical methods and AI based techniques. One of the successful evaluation methods proposed for this purpose is data envelopment analysis (DEA), that utilizes techniques of mathematical programming to evaluate the performance of a set of homogeneous decision making units, when multiple inputs and outputs need to be considered. It is often complicated, costly and sometimes impossible to acquire all necessary information from all potential suppliers to attain a reasonable set of similar input and output values which is an essential for DEA. The purpose of this study is to explore a novel integration of neural networks (NN) and data envelopment analysis for evaluation of suppliers under incomplete information of evaluation criteria.