TY  - JOUR
TT  - INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS
AU  - Cevik Onar, Sezi
AU  - Oztaysi, Basar
AU  - Kahraman, Cengiz
PY  - 2017
DA  - June
DO  - 10.17261/Pressacademia.2017.609
JF  - PressAcademia Procedia
JO  - PAP
PB  - Suat TEKER
WT  - DergiPark
SN  - 2459-0762
SP  - 341
EP  - 349
VL  - 5
IS  - 1
KW  - Solar energy
KW  - innovative technology
KW  - fuzzy
KW  - intuitionistic fuzzy
N2  - Solar energy technologies are mainly composed ofphotovoltaics and concentrated solar power (solar thermal) technologies.Photovoltaic technology converts sunlight into electricity directly whereassolar thermal technology utilizes its heat. Innovative solar energytechnologies appear in the market relatively more often than other energytechnologies. Selection among these innovative solar energy technologies is amulti-criteria decision making problem under uncertain environment conditions.Intuitionistic fuzzy sets provide an efficient way of capturing uncertainty byprocessing both membership and non-membership degrees in a set, whose sum of thesedegrees is not necessarily equal to one. In this paper, we use aninterval-valued intuitionistic fuzzy AHP method for the multi-criteriaevaluation of some innovative solar energy technologies. An application ofsolar energy technology selection is also presented through the proposedmethod.
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UR  - https://doi.org/10.17261/Pressacademia.2017.609
L1  - https://dergipark.org.tr/en/download/article-file/392793
ER  -