A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices
By S. Lee, G. Mogi, K. S. Hui. 2013
141 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/9019b105f0e3772011b3a57736e775eece27c2b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Abbas Mardani
- Ahmad Jusoh
- Norhayati Zakuan
- Khalil Md Nor
- Marie-Claire Koissi
- Edmundas Kazimieras Zavadskas
- Arnold F. Shapiro
- Zenonas Turskis
In Management Science and Operations Research
- Abbas Mardani
- Ahmad Jusoh
- Norhayati Zakuan
- Edmundas Kazimieras Zavadskas
- Khalil Md Nor
- Z. Khalifah
- Marie-Claire Koissi
- Arnold F. Shapiro
Citations in the corpus
- Fuzzy logic modifications of the Analytic Hierarchy Process (2017, methodology): “The Analytic Hierarchy Process (AHP) [Saaty (1980, 1999, 2008)] is a theory of measurement through pair-wise comparisons that relies on judgment to derive priority scales. During implementation of the AHP, one constructs hierarchies, then makes judgments or performs measurements on pairs of elements”
- A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 (2017, methodology): “Lee, Mogi [79] used FAHP and DEA for allocation of R &D resources based T b le 1 4 (c on ti n u ed ) A u th o r N a ti o n a li ty R e g io n T e ch n iq u e N o .”