Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214832003> ?p ?o ?g. }
- W4214832003 endingPage "256" @default.
- W4214832003 startingPage "231" @default.
- W4214832003 abstract "Three-way decision (3WD) theory has been widely used in solving multi-attribute decision-making (MADM) problems, however the calculation method for semantic interpretations of loss functions and conditional probabilities has not been reasonably addressed. Thus, by virtue of existing studies on 3WD and MADM, a novel 3WD method to MADM is explored in the current paper, which is titled the 3W-MADM method. First, a pair of novel pre-order relations are designed by virtue of the classic TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method, and a new scheme for calculating conditional probabilities is further established. Then, the calculation scheme of loss functions and thresholds is put forward via attribute evaluation values and ideal solutions. In particular, several primary steps and the algorithm of the 3W-MADM method are summed up. Finally, the practicality and validity of the proposed method are demonstrated by a realistic case of lymphography from the UCI database. Moreover, the stability and superiority of the presented method are shown by several experimental analyses." @default.
- W4214832003 created "2022-03-05" @default.
- W4214832003 creator A5010219161 @default.
- W4214832003 creator A5037780781 @default.
- W4214832003 creator A5045112228 @default.
- W4214832003 date "2022-05-01" @default.
- W4214832003 modified "2023-10-16" @default.
- W4214832003 title "A three-way decision method with pre-order relations" @default.
- W4214832003 cites W1511669739 @default.
- W4214832003 cites W1525212704 @default.
- W4214832003 cites W1969463949 @default.
- W4214832003 cites W1969535228 @default.
- W4214832003 cites W1985787193 @default.
- W4214832003 cites W1990116832 @default.
- W4214832003 cites W2003074920 @default.
- W4214832003 cites W2023750115 @default.
- W4214832003 cites W2036789112 @default.
- W4214832003 cites W2037316073 @default.
- W4214832003 cites W2048472139 @default.
- W4214832003 cites W2060907774 @default.
- W4214832003 cites W2070813883 @default.
- W4214832003 cites W2090526711 @default.
- W4214832003 cites W2097287674 @default.
- W4214832003 cites W2105896363 @default.
- W4214832003 cites W2185786173 @default.
- W4214832003 cites W2217596628 @default.
- W4214832003 cites W2310435784 @default.
- W4214832003 cites W2345465422 @default.
- W4214832003 cites W2580172056 @default.
- W4214832003 cites W2616721392 @default.
- W4214832003 cites W2748250791 @default.
- W4214832003 cites W2758872644 @default.
- W4214832003 cites W2784166218 @default.
- W4214832003 cites W2813852899 @default.
- W4214832003 cites W2889077617 @default.
- W4214832003 cites W2956917852 @default.
- W4214832003 cites W2982507320 @default.
- W4214832003 cites W2989196101 @default.
- W4214832003 cites W2999323644 @default.
- W4214832003 cites W3000296568 @default.
- W4214832003 cites W3034392970 @default.
- W4214832003 cites W3041899150 @default.
- W4214832003 cites W3093703605 @default.
- W4214832003 cites W3124182951 @default.
- W4214832003 cites W3128646645 @default.
- W4214832003 cites W3134553072 @default.
- W4214832003 cites W3147142721 @default.
- W4214832003 cites W3204574242 @default.
- W4214832003 cites W4200167907 @default.
- W4214832003 cites W4200258448 @default.
- W4214832003 cites W4255833381 @default.
- W4214832003 doi "https://doi.org/10.1016/j.ins.2022.02.053" @default.
- W4214832003 hasPublicationYear "2022" @default.
- W4214832003 type Work @default.
- W4214832003 citedByCount "13" @default.
- W4214832003 countsByYear W42148320032022 @default.
- W4214832003 countsByYear W42148320032023 @default.
- W4214832003 crossrefType "journal-article" @default.
- W4214832003 hasAuthorship W4214832003A5010219161 @default.
- W4214832003 hasAuthorship W4214832003A5037780781 @default.
- W4214832003 hasAuthorship W4214832003A5045112228 @default.
- W4214832003 hasConcept C103278499 @default.
- W4214832003 hasConcept C105795698 @default.
- W4214832003 hasConcept C111472728 @default.
- W4214832003 hasConcept C112972136 @default.
- W4214832003 hasConcept C11413529 @default.
- W4214832003 hasConcept C115961682 @default.
- W4214832003 hasConcept C119857082 @default.
- W4214832003 hasConcept C121332964 @default.
- W4214832003 hasConcept C124101348 @default.
- W4214832003 hasConcept C126255220 @default.
- W4214832003 hasConcept C134306372 @default.
- W4214832003 hasConcept C138885662 @default.
- W4214832003 hasConcept C154945302 @default.
- W4214832003 hasConcept C2776639384 @default.
- W4214832003 hasConcept C2781249084 @default.
- W4214832003 hasConcept C33923547 @default.
- W4214832003 hasConcept C41008148 @default.
- W4214832003 hasConcept C42475967 @default.
- W4214832003 hasConcept C51566761 @default.
- W4214832003 hasConcept C77618280 @default.
- W4214832003 hasConcept C89591040 @default.
- W4214832003 hasConcept C97355855 @default.
- W4214832003 hasConceptScore W4214832003C103278499 @default.
- W4214832003 hasConceptScore W4214832003C105795698 @default.
- W4214832003 hasConceptScore W4214832003C111472728 @default.
- W4214832003 hasConceptScore W4214832003C112972136 @default.
- W4214832003 hasConceptScore W4214832003C11413529 @default.
- W4214832003 hasConceptScore W4214832003C115961682 @default.
- W4214832003 hasConceptScore W4214832003C119857082 @default.
- W4214832003 hasConceptScore W4214832003C121332964 @default.
- W4214832003 hasConceptScore W4214832003C124101348 @default.
- W4214832003 hasConceptScore W4214832003C126255220 @default.
- W4214832003 hasConceptScore W4214832003C134306372 @default.
- W4214832003 hasConceptScore W4214832003C138885662 @default.
- W4214832003 hasConceptScore W4214832003C154945302 @default.
- W4214832003 hasConceptScore W4214832003C2776639384 @default.
- W4214832003 hasConceptScore W4214832003C2781249084 @default.