首页 / 决策 / 非对称犹豫模糊西格moid偏好关系 (Zhou-Xu 2016) MCDM Preference Relations Hesitant fuzzy
非对称犹豫模糊西格moid偏好关系 (Zhou-Xu 2016) AHSPR(非对称犹豫模糊西格moid偏好关系 (Zhou-Xu 2016))是由 Zhou, W. 和 Xu, Z. 于 2016 年提出的一种偏好关系多准则决策 (MCDM) 方法。它将关于多个准则评分的决策矩阵转化为结构化、可复现的结果。
速览
Subfamily Preference Relations
Year 2016
Type Hesitant fuzzy AHP-style method. Input is a pairwise hesitant fuzzy continuous preference term matrix (HFCPT) per criterion — NOT a standard decision matrix. An asymmetric sigmoid numerical scale (ASNS) parametrised by risk-appetite parameters h1 (preference) and h2 (non-preference) maps raw preference terms to [0,1] scores. Priority vectors are derived via the closed-form Approximate Translation Method (ATM, Theorem 2.5). Final ranking aggregates per-criterion priority vectors via hesitant fuzzy weighted operators.
Value Space Hesitant fuzzy
Uncertainty epistemic
Compensation partial
Rank Reversal 是
来源 Zhou, W., Xu, Z. (2016). Asymmetric hesitant fuzzy sigmoid preference relations in the analytic hierarchy process. Information Sciences DOI: 10.1016/j.ins.2016.04.003 ↗ 如何引用本页 APA BibTeX RIS 复制
ScholarGate. (2026, June 2). Asymmetric Hesitant Fuzzy Sigmoid Preference Relations (Zhou-Xu 2016). ScholarGate. https://scholargate.app/zh/decision-making/ahspr
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ScholarGate — AHSPR (Asymmetric Hesitant Fuzzy Sigmoid Preference Relations (Zhou-Xu 2016)). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/ahspr · 数据集: https://doi.org/10.5281/zenodo.20539026