A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process

Cengiz Kahraman, Ihsan Kaya*, Selcuk Cebi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

382 Citations (Scopus)

Abstract

Renewable energy is the energy generated from natural resources such as sunlight, wind, rain, tides and geothermal heat which are renewable. Energy resources are very 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. Among decision-making methodologies, axiomatic design (AD) and analytic hierarchy process (AHP) are often used in the literature. The fuzzy set theory is a powerful tool to treat the uncertainty in case of incomplete or vague information. In this paper, fuzzy multicriteria decision- making methodologies are suggested for the selection among renewable energy alternatives. The first methodology is based on the AHP which allows the evaluation scores from experts to be linguistic expressions, crisp, or fuzzy numbers, while the second is based on AD principles under fuzziness which evaluates the alternatives under objective or subjective criteria with respect to the functional requirements obtained from experts. The originality of the paper comes from the fuzzy AD application to the selection of the best renewable energy alternative and the comparison with fuzzy AHP. In the application of the proposed methodologies the most appropriate renewable energy alternative is determined for Turkey.

Original languageEnglish
Pages (from-to)1603-1616
Number of pages14
JournalEnergy
Volume34
Issue number10
DOIs
Publication statusPublished - Oct 2009

Keywords

  • AHP
  • Axiomatic design
  • Decision making
  • Fuzzy
  • Renewable energy

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