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.
| Original language | English |
|---|---|
| Title of host publication | Soft Computing Applications for Renewable Energy and Energy Efficiency |
| Publisher | IGI Global |
| Pages | 191-224 |
| Number of pages | 34 |
| ISBN (Electronic) | 9781466666320 |
| ISBN (Print) | 1466666315, 9781466666313 |
| DOIs | |
| Publication status | Published - 31 Oct 2014 |
Bibliographical note
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