Pythagorean fuzzy Einstein weighted geometric aggregation operator and their application to multiple attribute group decision making

Abstract

There are many aggregation operators and its applications have been developed up to date, but Pythagorean fuzzy Einstein weighted geometric (PFEWG) operator was not introduced. Therefore in this paper, we introduce Pythagorean fuzzy Einstein weighted geometric (PFEWG) operator. We also discuss some basic properties of the proposed operator, including idempotency, boundedness, and monotonicity. Finally, we apply the PFEWG operator to deal with multiple attribute group decision making problem under Pythagorean fuzzy information. For Pythagorean fuzzy Einstein weighted geometric (PFEWG) operator, we construct an algorithm for multiple attribute group decision making problem also. In the last we construct a numerical example also for multiple attribute group decision making problem

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 135 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.