Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024037435 |
| _version_ | 1797224238011121664 |
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| author | Chiranjibe Jana Ibrahim M. Hezam |
| author_facet | Chiranjibe Jana Ibrahim M. Hezam |
| author_sort | Chiranjibe Jana |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T13:49:56Z |
| format | Article |
| id | doaj.art-f7fdcd99939442618c245597091d6de0 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T13:49:56Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-f7fdcd99939442618c245597091d6de02024-04-04T05:05:41ZengElsevierHeliyon2405-84402024-03-01106e27712Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approachChiranjibe Jana0Ibrahim M. Hezam1Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Tamil Nadu, India; Corresponding author.Department of Statistics & Operations Research, College of Sciences, King Saud University, Riyadh, Saudi ArabiaThis 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.http://www.sciencedirect.com/science/article/pii/S2405844024037435Multi-polar fuzzy numbersEinstein operatorsEDAS methodMulti-attribute group decision-making |
| spellingShingle | Chiranjibe Jana Ibrahim M. Hezam Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach Heliyon Multi-polar fuzzy numbers Einstein operators EDAS method Multi-attribute group decision-making |
| title | Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach |
| title_full | Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach |
| title_fullStr | Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach |
| title_full_unstemmed | Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach |
| title_short | Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach |
| title_sort | multi attribute group decision making method for sponge iron factory location selection problem using multi polar fuzzy edas approach |
| topic | Multi-polar fuzzy numbers Einstein operators EDAS method Multi-attribute group decision-making |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024037435 |
| work_keys_str_mv | AT chiranjibejana multiattributegroupdecisionmakingmethodforspongeironfactorylocationselectionproblemusingmultipolarfuzzyedasapproach AT ibrahimmhezam multiattributegroupdecisionmakingmethodforspongeironfactorylocationselectionproblemusingmultipolarfuzzyedasapproach |