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煤矿瓦斯风险评估中因风险状态渐变连续,所以单风险隶属度是可取[0,1]区间上一切实数,可表征“部分属于”模糊状态的模糊隶属度.因此由单风险隶属度确定多风险隶属度实现的是模糊状态转换,所以支撑隶属度转换的不是二值逻辑而是多值逻辑.在多值逻辑研究中,基于“取大取小”推理的模糊逻辑不是数学逻辑,“加权平均”的模糊综合评判是“假设”不是推理.所以处理模糊信息的多值逻辑尚需深入研究.指出隶属度转换不是线性转换的原因是,单风险模糊隶属度中可能包含对确定多风险隶属度不起作用的非线性冗余值.通过确定冗余值的数学表达式建立冗余理论,用冗余理论界定模糊隶属度转换不是线性转换,并推导去冗算法实现隶属度转换.由此建立处理模糊信息的多值逻辑.
Therefore, the single-risk membership degree is desirable for all real numbers in [0,1] interval and can be used to characterize the fuzzy membership degree of “some belong to ” fuzzy state, so the single-risk membership degree Therefore, it is not binary logic but multi-valued logic to support the conversion of membership degree.In the research of multi-valued logic, the fuzzy logic based on “big and small ” reasoning is not mathematics Therefore, the multi-valued logic of fuzzy information needs to be further studied.It is pointed out that the reason why the membership conversion is not linear conversion is that the fuzzy membership of single risk May contain nonlinear redundancy values that do not contribute to the determination of multi-risk membership Degree of redundancy established by mathematical expressions that determine redundancy values, defined by redundancy theory Fuzzy membership transformation is not a linear transformation and deduction of redundancy The algorithm realizes membership transformation, and establishes multi-valued logic to process fuzzy information.