A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process
By C. Kahraman, Ihsan Kaya, S. Çebi. 2009
472 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/f9f7221fe43385f772cbbdc8db7b556769ee7f09
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In Management Science and Operations Research
- Rimal Abu-Taha
- Tijen Ertay
- Ihsan Kaya
- C. Kahraman
- Peter D. Lund
- Reza Alizadeh
- Leili Soltanisehat
- Hamed Zamani-Sabzi
Citations in the corpus
- Improving renewable energy policy planning and decision-making through a hybrid MCDM method (2020, methodology): “These have also been used with renewable energy systems (Suganthi et al., 2015), including e.g. the Fuzzy AHP (Heo et al., 2010), the Fuzzy Axiomatic Design (Fadai et al., 2011; Kahraman et al., 2009), the Fuzzy TOPSIS (Kaya and Kahraman, 2011), hybrid fuzzy multi-criteria decision-making framework ”
- A distribution network expansion planning model considering distributed generation options and techo-economical issues (2010, background): “The role of DG units is increased in the last decade by providing different benefits like cost reduction, reliability of supply, ancillary services, emission reduction, postponement of the transmission and distribution expansion for DGowner, Distribution Network Operators (DNO) and socio-political a”
- A system of systems approach to energy sustainability assessment: Are all renewables really green? (2015, background): “Kahraman et al. (2009), Kahraman nd Kaya (2010), and Kaya and Kahraman (2010) ranked differnt renewable energies that are best suited for future investment n Turkey, taking into account their technical, economic, environ- ental, political, and social aspects.”
- Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey (2013, methodology): “The criteria that will be used to evaluate renewable energy alternatives are briefly explained in the following (Kahraman et al. 2009; Kahraman, Kaya 2010a): Under the main criterion C1: Technological: C11.”
- An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey's energy planning (2018, methodology): “[27] used various MCDM tools in order to select the best renewable energy option or to evaluate long-term energy planning models in order to help policy makers in better understanding of energy planning problems.”
- Multi-criteria applications in renewable energy analysis: A literature review (2011, methodology): “Fuzzy axiomatic design (AD) and fuzzy Analytic hierarchy process where applied to the same set of criteria and alternatives and the results from both methodologies were compared [52].”