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- W2376758738 abstract "Based on several studies on three points interval numbers,effectively transforming three point interval number judgments to gather again in order to change into ends point optimal judgment matrix.The establishment of the nonlinear programming model aggregation of interval number information,through the plant growth simulation algorithm(PGSA)for the three endpoints interval number judgment synthetic optimal aggregation of interval matrices,while keeping the most likely point.on the derivation of mathematical model will most likely prove Fermat point included) will be effective three point interval number for the aggregation,and then using projection theory of ranking.The results of example show that the plant growth simulation algorithm is not only computationally simple,flexible,and make up the original points of two ends of interval number range is too large,the center of gravity is not clear defects,simplifies the three point interval number weight scheduling problem show the superiority of artificial intelligence algorithm in terms of information aggregation." @default.
- W2376758738 created "2016-06-24" @default.
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- W2376758738 date "2015-01-01" @default.
- W2376758738 modified "2023-09-24" @default.
- W2376758738 title "Study of Three Point Interval Number Judgment Matrix Decomposition and Aggregation Based on Fermat and Algorithm" @default.
- W2376758738 hasPublicationYear "2015" @default.
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