The steps of fuzzy comprehensive evaluation are as follows: the set of factor set factors is expressed by the following formula, and each factor can be divided into grades according to the degree of influence. The state of each factor of these factors can be used well. Good, general, poor, poor or high, high, general, low, low and other fuzzy language to represent this state set as a factor level set can be recorded as the establishment of a weight set generally reflects the importance of each factor, for each factor Assigned to a weight, expressed by the following formula: The establishment of the alternative set is generally a set of various judgment results that the judge may make on the judgment object, which can be expressed as: the single factor fuzzy comprehensive evaluation is for the purpose of processing The ambiguity of each factor is judged by a single factor by contributing to the value of the judgement from each level of a factor. The matrix consisting of the numerical rows of the membership functions of each level of the evaluation set is called the rank evaluation matrix of the first factor.
Heat pipe heat exchanger reliability evaluation fuzzy set theory table factor and factor level factor set influencing factor factor level structure design level high high general low low manufacturing level high higher generally lower low operation and maintenance level high higher generally lower The use of medium environment is better. Generally, the difference between heat pipe is higher and the efficiency is higher. Generally, the single factor evaluation matrix, that is, the first-level fuzzy comprehensive evaluation matrix is ​​expressed as the second-level fuzzy comprehensive evaluation. The weight of each factor is concentrated. The weight of the factor reflects the magnitude of the impact of this factor on the benchmark.
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