Determining the Structure of the Information System Based on the Use of Fuzzy Logic
Abstract
The method of signals fusion from unequal information systems, based on fuzzy logic, combining two approaches to fusion is considered: calculating weights and cutting off data by threshold. The proposed method is based on the interpretation of the main stages of the fuzzy inference – fuzzification, calculating of resulting membership function of the rule-base conclusion and defuzzification, it allows us, at the same time, to determine the mode of operation of information systems (their fusion or the use of one of the combinations determined by the criteria for signal quality) and the weights of the fusioned signals. The general formulation of the problem of fusion and the scheme of fusion of information systems with the criteria for the quality of their signals are given. The standard deviation criterion is used to assess the quality of the fusion. The fusion is considered by the example of processing three harmonic signals to which white additive noise is added. To analyze the quality of the fusion, different variants of noise signals are used: all signals have the same noise level; one signal has a noise level several times greater than the other two; all signals have different noise levels. It is shown that the independent use of the fusion methods is less effective than simultaneous use them on the basis of the fuzzy logic fusion. This article is sequel to the articles [5, 6].
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