TY - JOUR
T1 - Selection among renewable energy alternatives using fuzzy axiomatic design
T2 - The case of turkey
AU - Kahraman, Cengiz
AU - Cebi, Selcuk
AU - Kaya, Ihsan
PY - 2010
Y1 - 2010
N2 - Renewable energy is a source of energy derived from natural resources such as sunlight, wind, water, tides, hot dry rocks, magma, hot water springs, fire wood, animal manure, and crop residues and waste. These renewable energy technologies are called with its source such as solar power, wind power, hydropower, geothermal and biomass. Energy resources are so important in perspective of economics and politics for all countries. Hence, the selection of the best alternative for any country takes an important role for energy investments. In this paper, axiomatic design (AD) methodology is suggested for the selection among renewable energy alternatives under fuzzy environment. AD methodology works under fuzziness which evaluates the alternatives under objective or subjective criteria with respect to the functional requirements obtained from experts. In the application of the proposed methodologies the most appropriate renewable energy alternative is determined for Turkey under fuzziness.
AB - Renewable energy is a source of energy derived from natural resources such as sunlight, wind, water, tides, hot dry rocks, magma, hot water springs, fire wood, animal manure, and crop residues and waste. These renewable energy technologies are called with its source such as solar power, wind power, hydropower, geothermal and biomass. Energy resources are so important in perspective of economics and politics for all countries. Hence, the selection of the best alternative for any country takes an important role for energy investments. In this paper, axiomatic design (AD) methodology is suggested for the selection among renewable energy alternatives under fuzzy environment. AD methodology works under fuzziness which evaluates the alternatives under objective or subjective criteria with respect to the functional requirements obtained from experts. In the application of the proposed methodologies the most appropriate renewable energy alternative is determined for Turkey under fuzziness.
KW - Axiomatic design
KW - Decision making
KW - Fuzzy
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=77950117872&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:77950117872
SN - 0948-695X
VL - 16
SP - 82
EP - 102
JO - Journal of Universal Computer Science
JF - Journal of Universal Computer Science
IS - 1
ER -