Hybrid radial basis function DEA and its applications to regression, segmentation and cluster analysis problems
This paper uses a radial basis function (RBF) transformation of data envelopment analysis (DEA) data to perform RBF-DEA. It is shown that the RBF-DEA frontier identifies cases that have average efficiency scores in traditional DEA. The formal identification of average efficiency cases allows decisio...
Main Author: | Parag C. Pendharkar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-12-01
|
Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000463 |
Similar Items
-
Comparative study between radial basis function and polynomial of support vector regression in predicting flood /
by: Farhana Azhari, 1985-, et al.
Published: (2010) -
Multilevel collocation with radial basis functions
by: Farrell, P
Published: (2014) -
Radial basis functions : theory and implementations /
by: Buhmann, M. D. (Martin Dietrich), 1963-
Published: (2003) -
Rationalization in Korea container terminal using DEA cross-efficiency and cluster analysis
by: Sungki Kim, et al.
Published: (2022-06-01) -
Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam
by: Dashe Li, et al.
Published: (2021-01-01)