In an information system, there are two major directions for measuring uncertainty: information granulation, information entropy. They give indicators for studying uncertainty from different perspectives.
May 21, 2020
This paper investigates measures of uncertainty for a distributed fully fuzzy information system. The fuzzy Tcos-equivalence relation, induced by a fully fuzzy ...
Measures of uncertainty for a distributed fully fuzzy information ...
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This paper investigates measures of uncertainty for a distributed fully fuzzy information system. The fuzzy T cos -equivalence relation, induced by a fully ...
This paper investigates measures of uncertainty for a distributed fully fuzzy information system. The fuzzy ?-equivalence relation, induced by a fully fuzzy ...
This paper investigates measures of uncertainty for a distributed fully fuzzy information system. The fuzzy T cos -equivalence relation, induced by a fully ...
Oct 22, 2024 · This paper investigates measures of uncertainty for a distributed fully fuzzy information system. The fuzzy Tcos-equivalence ... [Show full ...
Granulation measure and entropy measure of a given distributed fully fuzzy information system is proposed by means of its fuzzy information structures and ...
This paper investigates fuzzy information structures (FI-structures) and new uncertainty measurements for categorical data
Jan 1, 2022 · A fuzzy probability approximation space (FPA-space) is obtained by putting probability distribution into an FA-space. In this way, it combines ...
Supplementary Data. Measures of uncertainty for a distributed fully fuzzy information system. Authors: Liu, Xiaofeng; Li, Zhaowen; Zhang, Gangqiang; Xie, ...