Sustainable energy selection based on interval-valued intuitionistic fuzzy and neutrosophic aggregation operators

Eda Bolturk*, Murat Gülbay, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Sustainable energy selection has been a very popular problem among the researchers and various models including deterministic, probabilistic and fuzzy approaches have been developed for the solution of this problem. Fuzzy approaches to sustainable energy selection problems have been often handled in the literature. Aggregation operators for multi-expert decision making problems are an alternative solution technique for multi criteria decision making problems. Since neutrosophic and intuitionistic fuzzy aggregation operators are comparable extensions of ordinary fuzzy sets, they have been employed to aggregate multi-expert judgments. An illustrative energy selection problem is presented, solved by two approaches, and results are compared. The same linguistic data have been used for the comparison purpose.

Original languageEnglish
Pages (from-to)6553-6563
Number of pages11
JournalJournal of Intelligent and Fuzzy Systems
Volume39
Issue number5
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 - IOS Press and the authors. All rights reserved.

Keywords

  • Fuzzy aggregation operator
  • intuitionistic fuzzy set
  • multi-attribute decision making
  • neutrosophic fuzzy sets
  • sustainable energy selection

Fingerprint

Dive into the research topics of 'Sustainable energy selection based on interval-valued intuitionistic fuzzy and neutrosophic aggregation operators'. Together they form a unique fingerprint.

Cite this