Title : ( A Novel Neurodynamic Model for Data Envelopment Analysis: A Case Study on Iran’s Olympic Sports Caravan )
Authors: Javad Bani Hassan , Zahra Sadat Mirzazadeh , shahram abdi , Mohammad Eshaghnezhad , amin mansoori ,
Full TextAbstract
Data envelopment analysis (DEA) is one of the non-parametric approaches for evaluating efficiency. The present paper investigates a novel recurrent neural network (RNN) model for solving DEA problems. To the best of our knowledge, there is no attempt for this kind of problem using RNN. Thus, this paper is going to show the effectiveness of RNN models for solving DEA problems. As a matter of fact, we give a novel RNN model to solve a general linear programming problem. Moreover, the stability in the sense of Lyapunov for the developed RNN model is proved. Finally, to show the performance of the method we consider a general case model and a case study on Iran’s Olympic Sports Caravan and solve with the novel proposed RNN model.
Keywords
Linear programming problem data envelopment analysis recurrent neural networks Lyapunov stability
@article{paperid:1096537,
author = {Bani Hassan, Javad and Mirzazadeh, Zahra Sadat and شهرام عبدی and محمد عشاق نژاد and امین منصوری},
title = {A Novel Neurodynamic Model for Data Envelopment Analysis: A Case Study on Iran’s Olympic Sports Caravan},
journal = {Neural Processing Letters},
year = {2023},
volume = {55},
number = {9},
month = {December},
issn = {1370-4621},
pages = {12079--12092},
numpages = {13},
keywords = {Linear programming problem data envelopment analysis recurrent neural
networks Lyapunov stability},
}
%0 Journal Article
%T A Novel Neurodynamic Model for Data Envelopment Analysis: A Case Study on Iran’s Olympic Sports Caravan
%A Bani Hassan, Javad
%A Mirzazadeh, Zahra Sadat
%A شهرام عبدی
%A محمد عشاق نژاد
%A امین منصوری
%J Neural Processing Letters
%@ 1370-4621
%D 2023
