Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection
Abstract The household waste (HW) disposal and recycling have become a significant challenge due to increasing quantities of generated household wastes and increased levels of urbanization. Selecting locations/sites for building new HW recycling plant comprises numerous sustainability dimensions, th...
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Nature Portfolio
2024-11-01
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| Online Access: | https://doi.org/10.1038/s41598-024-78158-z |
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| author | Arunodaya Raj Mishra Pratibha Rani Parvaneh Saeidi Muhammet Deveci Adel Fahad Alrasheedi |
| author_facet | Arunodaya Raj Mishra Pratibha Rani Parvaneh Saeidi Muhammet Deveci Adel Fahad Alrasheedi |
| author_sort | Arunodaya Raj Mishra |
| collection | DOAJ |
| description | Abstract The household waste (HW) disposal and recycling have become a significant challenge due to increasing quantities of generated household wastes and increased levels of urbanization. Selecting locations/sites for building new HW recycling plant comprises numerous sustainability dimensions, thus, this work aims to develop new decision-making model for evaluating and prioritizing the HW recycling plant locations. This paper is categorized into three phases. First, we propose new improved score function to compare the Fermatean fuzzy numbers. Moreover, an example is presented to validate the effectiveness of proposed score function over the extant ones. Second, we introduce new distance measure to estimate the discrimination degree between Fermatean fuzzy sets (FFSs) and further discuss its advantages over the prior developed Fermatean fuzzy distance measures. Third, we introduce an integrated methodology by combining the method with the removal effects of criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the measurement alternatives and the ranking according to compromise solution (MARCOS) approaches with Fermatean fuzzy (FF) information, and named as the “FF-MEREC-SWARA-MARCOS” framework. In this method, the FF-distance measure is used to find the weights of involved decision-making experts. Moreover, an integrated criteria weighting method is presented with the combination of MEREC and SWARA models under the context of FFSs, while the combined FF-MEREC-SWARA-MARCOS model is applied to evaluate and prioritize the locations for HW recycling plant development, which illustrates its feasibility of the developed framework. Comparative study and sensitivity assessment are conducted to validate the obtained outcomes. This work provides a hybrid decision analysis approach, which marks a significant impact to the HW recycling plant location selection process with uncertain information. |
| format | Article |
| id | doaj-art-ec09394f923a4a27be2374d6af4f2bbf |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ec09394f923a4a27be2374d6af4f2bbf2024-11-17T12:29:18ZengNature PortfolioScientific Reports2045-23222024-11-0114112210.1038/s41598-024-78158-zFermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selectionArunodaya Raj Mishra0Pratibha Rani1Parvaneh Saeidi2Muhammet Deveci3Adel Fahad Alrasheedi4Department of Mathematics, Government College RaigaonDepartment of Engineering Mathematics, Koneru Lakshmaiah Education FoundationResearch Center in Business, Society, and Technology, ESTec, Faculty of Economic Administrative and Business Sciences, Universidad Tecnológica IndoaméricaDepartment of Industrial Engineering, Turkish Naval Academy, National Defence UniversityStatistics and Operations Research Department, College of Science, King Saud UniversityAbstract The household waste (HW) disposal and recycling have become a significant challenge due to increasing quantities of generated household wastes and increased levels of urbanization. Selecting locations/sites for building new HW recycling plant comprises numerous sustainability dimensions, thus, this work aims to develop new decision-making model for evaluating and prioritizing the HW recycling plant locations. This paper is categorized into three phases. First, we propose new improved score function to compare the Fermatean fuzzy numbers. Moreover, an example is presented to validate the effectiveness of proposed score function over the extant ones. Second, we introduce new distance measure to estimate the discrimination degree between Fermatean fuzzy sets (FFSs) and further discuss its advantages over the prior developed Fermatean fuzzy distance measures. Third, we introduce an integrated methodology by combining the method with the removal effects of criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the measurement alternatives and the ranking according to compromise solution (MARCOS) approaches with Fermatean fuzzy (FF) information, and named as the “FF-MEREC-SWARA-MARCOS” framework. In this method, the FF-distance measure is used to find the weights of involved decision-making experts. Moreover, an integrated criteria weighting method is presented with the combination of MEREC and SWARA models under the context of FFSs, while the combined FF-MEREC-SWARA-MARCOS model is applied to evaluate and prioritize the locations for HW recycling plant development, which illustrates its feasibility of the developed framework. Comparative study and sensitivity assessment are conducted to validate the obtained outcomes. This work provides a hybrid decision analysis approach, which marks a significant impact to the HW recycling plant location selection process with uncertain information.https://doi.org/10.1038/s41598-024-78158-zFermatean fuzzy setsDistance measureHousehold waste recycling plantMARCOSScore functionDecision-making |
| spellingShingle | Arunodaya Raj Mishra Pratibha Rani Parvaneh Saeidi Muhammet Deveci Adel Fahad Alrasheedi Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection Scientific Reports Fermatean fuzzy sets Distance measure Household waste recycling plant MARCOS Score function Decision-making |
| title | Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| title_full | Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| title_fullStr | Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| title_full_unstemmed | Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| title_short | Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| title_sort | fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection |
| topic | Fermatean fuzzy sets Distance measure Household waste recycling plant MARCOS Score function Decision-making |
| url | https://doi.org/10.1038/s41598-024-78158-z |
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