Econometric analysis of the R&amp;D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach

Lee, Seong Kon; Mogi, Gento; Lee, Sang-Kon; Hui, K.S.; Kim, Jong Wook

doi:10.1016/j.ijhydene.2010.01.009

Cited by 72 publications

(41 citation statements)

References 15 publications

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“…Chang et al [25] aim to develop an assessment model to evaluate hydrogen fuel cell applications by using Fuzzy-MCDM. Lee et al [26] applied the integrated Fuzzy AHP and the data envelopment analysis (DEA) for measuring the relative efficiency of the R&D performance in the national hydrogen energy technology development performance in the national HE technology development.…”

Section: Fuzzy-mcdm Literaturementioning

confidence: 99%

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

et al. 2013

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Abstract:In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES) method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and linear normalization based fuzzy Grey Relational Analysis (Fuzzy-GRA) combined Multi Criteria Decision Making (MCDM) methodology. This combined approach can be applied to a complex decision process, which often makes sense with subjective data or vague information; and used to solve to solve HES selection problem with different defuzzification methods. The proposed approach is unique both in the HES literature and the MCDM literature.

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Section: Fuzzy-mcdm Literaturementioning

confidence: 99%

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

et al. 2013

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“…Similar procedure is also repeated for all criteria in the second step and the overall ranking of different alternatives found in the first step is established based on the weights found from the second step. Lee et al (2010) used triangular fuzzy numbers in forms of the linguistic numbers for ranking procedure. The details of the computations can be found in Lee et al (2010) and is not repeated in this paper.…”

Section: The Kano Structurementioning

confidence: 99%

“…Dabholkar et al (2000) presented a comprehensive framework for service quality using an integrated model. Lee et al (2010) developed an econometrics analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency using an integrated fuzzy AHP (saaty, 1992) and data envelopment analysis.…”

Section: Introductionmentioning

confidence: 99%

A hybrid Kano-fuzzy AHP method for measuring customer satisfaction: A case study of transportation system

Hemati¹,

Ghorbanian²

2011

msl

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An increase competition on today's economy has created motivation for many organizations to look for different alternatives on better serving the customers. There are always some budget limitations on any customer relationship method, which leads us to prioritize different alternatives. In this paper, we present an empirical method based on an integrated Kano and fuzzy analytical hierarchy procedure to rank suitable alternatives. The proposed model of this paper uses a questionnaire survey to gather customer's opinions and implements the method for a real-world case study of transportation planning. The questionnaire includes 37 questions distributed among 976 passengers for two trips in Iran. The results indicate that driver's physical and mental health, buss equipments with GPS functionality and familiarity of drivers with road and road's conditions play important role on choosing a transportation company.

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“…There are numerous cases for employing fuzzy AHP in the sector of renewable energy, focusing on prioritizing energy technologies [4,29,30], econometric analysis of renewable technology efficiency [31], or allocation of renewable resources [32,33]. In this paper the fuzzy AHP method is used for ranking and selection of smart grid projects, precisely because of the many uncertain and nontangible benefits and criteria involved in smart grid projects' assessment.…”

Section: Introductionmentioning

confidence: 99%

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Janjić¹,

Savić²,

Velimirović³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:Unlike the traditional way of efficiency assessment of renewable energy sources integration, the smart grid concept is introducing new goals and objectives regarding increased use of renewable electricity sources, grid security, energy conservation, energy efficiency, and deregulated energy market. Possible benefits brought by renewable sources integration are evaluated by the degree of the approach to the ideal smart grid. In this paper, fuzzy analytical hierarchy process methodology for the integration efficiency has been proposed, taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid. The methodology has been illustrated on the choice of the size and location of a distributed generator in the radial distribution feeder.

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Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach

Cited by 72 publications

References 15 publications

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

A hybrid Kano-fuzzy AHP method for measuring customer satisfaction: A case study of transportation system

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

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