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- W2940983257 abstract "Max-min fuzzy relation equations are introduced to describe the peer-to-peer (P2P) data transmission mechanism in instructional information resources' sharing system. In some cases, it is not able to satisfy the download requirements of the terminals completely. Hence, the max-min fuzzy relation equations system might be inconsistent. In order to avoid the unbalance of the dissatisfaction degree, we introduce a new definition of approximate solution for the inconsistent max-min fuzzy relation equations' system. Our defined approximate solution could minimize the biggest dissatisfaction degree among the equations. Based on an auxiliary system with the parameter, we propose a linear searching algorithm to find an approximate solution of an inconsistent max-min system. A detailed numerical example is provided to show the resolution processes and the validity of our proposed algorithm." @default.
- W2940983257 created "2019-05-03" @default.
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- W2940983257 date "2019-01-01" @default.
- W2940983257 modified "2023-10-13" @default.
- W2940983257 title "Linear Searching Method for Solving Approximate Solution to System of Max-Min Fuzzy Relation Equations With Application in the Instructional Information Resources Allocation" @default.
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- W2940983257 doi "https://doi.org/10.1109/access.2019.2912217" @default.
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