Evaluation of Renewable Energy Alternatives Using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

Evaluation of Renewable Energy Alternatives Using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

Başar Öztayşi (Istanbul Technical University, Turkey) and Cengiz Kahraman (Istanbul Technical University, Turkey)
DOI: 10.4018/978-1-5225-1671-2.ch048
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Abstract

The selection among renewable energy alternatives is a fuzzy multicriteria problem with many conflicting criteria under uncertainty. In many decision-making problems, the Decision Makers (DM) define their preference in linguistic form since it is relatively difficult to provide exact numerical values during the evaluation of alternatives. Therefore, in many studies, fuzzy logic is successfully used to model this kind of uncertainty. In this chapter, the authors try to capture this uncertainty by using interval type-2 fuzzy sets and hesitant fuzzy sets. They propose a fuzzy multicriteria method for the evaluation of renewable energy alternatives, in which the priority weights of the criteria are determined by interval type-2 fuzzy AHP, and the alternatives are ranked using hesitant fuzzy TOPSIS. A case study is also given.
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Renewable Energy Alternatives

Renewable energy is a kind of energy resource that is naturally regenerated over a short time scale and derived directly or indirectly from the sun or from other natural movements and mechanisms of the environment. In the following we briefly define the renewable energy alternatives which we take into consideration in this paper.

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