ScholarGate
助手
MCDMDefuzzificationFuzzy TFN

Alpha-Cut Defuzzification — 模糊集(α-水平截集)的清晰区间或代表值

DEFUZZ-ALPHA-CUT(Alpha-Cut Defuzzification — 模糊集(α-水平截集)的清晰区间或代表值)是由Zadeh, L.A.于1965年和1985年提出的一种模糊化多标准决策(MCDM)方法。它将具有多个标准评分的备选方案决策矩阵转化为结构化、可复现的结果。

用 DecisionMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Zadeh, L.A. (1965). Fuzzy sets. Information and Control DOI: 10.1016/S0019-9958(65)90241-X

如何引用本页

ScholarGate. (2026, June 2). Alpha-Cut Defuzzification — Crisp interval or representative via α-level cut. ScholarGate. https://scholargate.app/zh/decision-making/defuzz-alpha-cut

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateDEFUZZ-ALPHA-CUT (Alpha-Cut Defuzzification — Crisp interval or representative via α-level cut). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/defuzz-alpha-cut · 数据集: https://doi.org/10.5281/zenodo.20539026