Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

© 2024 The Author(s)..

This paper presents new averaging operators, such as mpF Einstein weighted averaging (mpFEWA), mpF Einstein ordered weighted averaging (mpFEOWA), mpF Einstein hybrid weighted averaging (mpFEHWA), mpF Einstein weighted geometric (mpFEWG), and mpF Einstein hybrid weighted geometric (mpFEHWG), as well as new Einstein operations (mpFNs) for handling multi-polar fuzzy numbers. We evaluate these operators for idempotency, boundedness, monotonicity, and commutativity, and we design them to deal with multi-polar fuzzy numbers (mpFNs). Furthermore, the study investigates the use of these operators in MAGDM settings, namely mpFEWA and mpFEWG operators, to expand on this. Additionally, it proposes a procedure for determining the best site for a sponge iron production plant by use of the created MAGDM method. The EDAS method, which stands for "Evaluation based on Distance from Average Solution," verifies that the solutions are effective. Finally, the suggested model highlights the benefits and possible improvements provided by these creative strategies by comparing the new approach to conventional methods and evaluating its efficiency and practicality.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Heliyon - 10(2024), 6 vom: 30. März, Seite e27712

Sprache:

Englisch

Beteiligte Personen:

Jana, Chiranjibe [VerfasserIn]
Hezam, Ibrahim M [VerfasserIn]

Links:

Volltext

Themen:

EDAS method
Einstein operators
Journal Article
Multi-attribute group decision-making
Multi-polar fuzzy numbers

Anmerkungen:

Date Revised 22.03.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.heliyon.2024.e27712

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369995376