Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386002804> ?p ?o ?g. }
- W4386002804 endingPage "121227" @default.
- W4386002804 startingPage "121227" @default.
- W4386002804 abstract "As a river of great strategic significance in China, the ecological governance of the Yellow River is an important issue. As a multi-attribute decision-making (MADM) problem, evaluating the ecological governance of the Yellow River involves many evaluation indexes. To accurately measure the importance of each indicator, this paper applies the best-worst method (BWM) based on linguistic variables to calculate the subjective weights of the indexes. The improved grey relational (IGR) method is proposed to calculate the objective weights. And the two weights are combined using the Uninorm operator to obtain the combination weights of the indexes. To evaluate the problem from multiple perspectives, we apply the MULTIMOORA method to the ecological governance problem. Then we propose the novel Borda method to aggregate the three evaluation results obtained by the MULTIMOORA method and thus construct the MULTIMOORA-Borda method. Based on the above methods, we analyze the evaluation results and provide policy recommendations for ecological governance of the Yellow River Basin." @default.
- W4386002804 created "2023-08-20" @default.
- W4386002804 creator A5018974025 @default.
- W4386002804 creator A5020329188 @default.
- W4386002804 creator A5041165260 @default.
- W4386002804 creator A5046201514 @default.
- W4386002804 creator A5089438496 @default.
- W4386002804 date "2024-01-01" @default.
- W4386002804 modified "2023-10-12" @default.
- W4386002804 title "Evaluation of ecological governance in the Yellow River basin based on Uninorm combination weight and MULTIMOORA-Borda method" @default.
- W4386002804 cites W1976567794 @default.
- W4386002804 cites W2013377700 @default.
- W4386002804 cites W2017460429 @default.
- W4386002804 cites W2019443512 @default.
- W4386002804 cites W2020407132 @default.
- W4386002804 cites W2033401964 @default.
- W4386002804 cites W2033598069 @default.
- W4386002804 cites W2037287283 @default.
- W4386002804 cites W2041210202 @default.
- W4386002804 cites W2042102899 @default.
- W4386002804 cites W2059239932 @default.
- W4386002804 cites W2060878354 @default.
- W4386002804 cites W2070411573 @default.
- W4386002804 cites W2101641622 @default.
- W4386002804 cites W2124024979 @default.
- W4386002804 cites W2146072570 @default.
- W4386002804 cites W2541568294 @default.
- W4386002804 cites W2568081791 @default.
- W4386002804 cites W2806437363 @default.
- W4386002804 cites W2885799613 @default.
- W4386002804 cites W2912711975 @default.
- W4386002804 cites W2944291285 @default.
- W4386002804 cites W2966718207 @default.
- W4386002804 cites W2981842822 @default.
- W4386002804 cites W3017274226 @default.
- W4386002804 cites W3090761404 @default.
- W4386002804 cites W3095645783 @default.
- W4386002804 cites W3105107493 @default.
- W4386002804 cites W3107964242 @default.
- W4386002804 cites W3112706669 @default.
- W4386002804 cites W3129069910 @default.
- W4386002804 cites W3154829614 @default.
- W4386002804 cites W3164097364 @default.
- W4386002804 cites W3173214906 @default.
- W4386002804 cites W3177343170 @default.
- W4386002804 cites W3185354805 @default.
- W4386002804 cites W3190086989 @default.
- W4386002804 cites W38708963 @default.
- W4386002804 cites W4200226747 @default.
- W4386002804 cites W4210508553 @default.
- W4386002804 cites W4224238823 @default.
- W4386002804 cites W4280598453 @default.
- W4386002804 cites W4285280601 @default.
- W4386002804 cites W4307957857 @default.
- W4386002804 cites W4309113522 @default.
- W4386002804 cites W4309931040 @default.
- W4386002804 cites W4310724567 @default.
- W4386002804 cites W4312055548 @default.
- W4386002804 cites W4312194913 @default.
- W4386002804 cites W4312313460 @default.
- W4386002804 cites W4313531865 @default.
- W4386002804 cites W4313643829 @default.
- W4386002804 cites W4318043392 @default.
- W4386002804 cites W4379645967 @default.
- W4386002804 cites W4382361068 @default.
- W4386002804 cites W4382601074 @default.
- W4386002804 cites W4385010272 @default.
- W4386002804 doi "https://doi.org/10.1016/j.eswa.2023.121227" @default.
- W4386002804 hasPublicationYear "2024" @default.
- W4386002804 type Work @default.
- W4386002804 citedByCount "0" @default.
- W4386002804 crossrefType "journal-article" @default.
- W4386002804 hasAuthorship W4386002804A5018974025 @default.
- W4386002804 hasAuthorship W4386002804A5020329188 @default.
- W4386002804 hasAuthorship W4386002804A5041165260 @default.
- W4386002804 hasAuthorship W4386002804A5046201514 @default.
- W4386002804 hasAuthorship W4386002804A5089438496 @default.
- W4386002804 hasConcept C10138342 @default.
- W4386002804 hasConcept C104317684 @default.
- W4386002804 hasConcept C105795698 @default.
- W4386002804 hasConcept C109007969 @default.
- W4386002804 hasConcept C124101348 @default.
- W4386002804 hasConcept C127313418 @default.
- W4386002804 hasConcept C127413603 @default.
- W4386002804 hasConcept C144133560 @default.
- W4386002804 hasConcept C151730666 @default.
- W4386002804 hasConcept C158448853 @default.
- W4386002804 hasConcept C159985019 @default.
- W4386002804 hasConcept C17020691 @default.
- W4386002804 hasConcept C185592680 @default.
- W4386002804 hasConcept C18903297 @default.
- W4386002804 hasConcept C192562407 @default.
- W4386002804 hasConcept C199360897 @default.
- W4386002804 hasConcept C200601418 @default.
- W4386002804 hasConcept C2780009758 @default.
- W4386002804 hasConcept C2780801425 @default.
- W4386002804 hasConcept C3018395757 @default.
- W4386002804 hasConcept C33923547 @default.