Aurang Zeb , Waseem Ahmad , Muhammad Asif , Tapan Senapati , Vladimir Simic , Muzhou Hou
{"title":"使用基于 Q-rung orthopair 模糊软集的 Aczel-Alsina 聚合算子的可持续城市化决策分析方法","authors":"Aurang Zeb , Waseem Ahmad , Muhammad Asif , Tapan Senapati , Vladimir Simic , Muzhou Hou","doi":"10.1016/j.seps.2024.101949","DOIUrl":null,"url":null,"abstract":"<div><p>Benefits of urbanization include increased economic opportunities, better access to technology, healthcare, and education, as well as a better standard of living. The generalized extension of the q-rung orthopair fuzzy set in combination with the soft set (SS) is introduced to determine which location is most likely to be favourable for urban growth. The Aczel–Alsina aggregation operators (AA’AOs) for q-rung orthopair fuzzy soft set (q-ROFSS) are formulated. The generalized nature of q-ROFSS is due to flexibility in the index of membership and non-membership, which provide decision-makers more freedom to express their opinions. The developed AA’AOs are based on the Aczel–Alsina (AA) t-norm and t-conorm that emphasize parameter variability. Important properties of these operators are studied. A novel approach based on q-ROFSS is established. The approach is tested with a case study problem related to urbanization. In this scenario, a company is searching for the best possible area to develop a housing society. The results show that the approach is highly valuable and easily applicable. The stability of the operators is examined through comparative analysis. The findings of sensitivity analysis show that increasing parameters in q-ROFSS leads to diminishing the impact of the non-membership operation, indicating geometric expansion and mathematical rebalancing of dominance between operations.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A decision analytics approach for sustainable urbanization using q-rung orthopair fuzzy soft set-based Aczel–Alsina aggregation operators\",\"authors\":\"Aurang Zeb , Waseem Ahmad , Muhammad Asif , Tapan Senapati , Vladimir Simic , Muzhou Hou\",\"doi\":\"10.1016/j.seps.2024.101949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Benefits of urbanization include increased economic opportunities, better access to technology, healthcare, and education, as well as a better standard of living. The generalized extension of the q-rung orthopair fuzzy set in combination with the soft set (SS) is introduced to determine which location is most likely to be favourable for urban growth. The Aczel–Alsina aggregation operators (AA’AOs) for q-rung orthopair fuzzy soft set (q-ROFSS) are formulated. The generalized nature of q-ROFSS is due to flexibility in the index of membership and non-membership, which provide decision-makers more freedom to express their opinions. The developed AA’AOs are based on the Aczel–Alsina (AA) t-norm and t-conorm that emphasize parameter variability. Important properties of these operators are studied. A novel approach based on q-ROFSS is established. The approach is tested with a case study problem related to urbanization. In this scenario, a company is searching for the best possible area to develop a housing society. The results show that the approach is highly valuable and easily applicable. The stability of the operators is examined through comparative analysis. The findings of sensitivity analysis show that increasing parameters in q-ROFSS leads to diminishing the impact of the non-membership operation, indicating geometric expansion and mathematical rebalancing of dominance between operations.</p></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012124001484\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124001484","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
A decision analytics approach for sustainable urbanization using q-rung orthopair fuzzy soft set-based Aczel–Alsina aggregation operators
Benefits of urbanization include increased economic opportunities, better access to technology, healthcare, and education, as well as a better standard of living. The generalized extension of the q-rung orthopair fuzzy set in combination with the soft set (SS) is introduced to determine which location is most likely to be favourable for urban growth. The Aczel–Alsina aggregation operators (AA’AOs) for q-rung orthopair fuzzy soft set (q-ROFSS) are formulated. The generalized nature of q-ROFSS is due to flexibility in the index of membership and non-membership, which provide decision-makers more freedom to express their opinions. The developed AA’AOs are based on the Aczel–Alsina (AA) t-norm and t-conorm that emphasize parameter variability. Important properties of these operators are studied. A novel approach based on q-ROFSS is established. The approach is tested with a case study problem related to urbanization. In this scenario, a company is searching for the best possible area to develop a housing society. The results show that the approach is highly valuable and easily applicable. The stability of the operators is examined through comparative analysis. The findings of sensitivity analysis show that increasing parameters in q-ROFSS leads to diminishing the impact of the non-membership operation, indicating geometric expansion and mathematical rebalancing of dominance between operations.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.