Fuzzy Comprehensive Evaluation Method
Fuzzy comprehensive evaluation method is a system of evaluating variables in a specified field that accounts for various levels of uncertainty and subjectivity. The method was first proposed by Zadeh, who argued that it was possible to express fuzzy sets in the form of a mathematical equation. The concept has since been extended to the evaluation of a variety of different fields, from economics to construction.
The main benefit of using the fuzzy comprehensive evaluation method is that it enables the evaluation of variables that are difficult to measure precisely. This is because the method allows for the incorporation of subjective criteria in the evaluation, as well as taking into account different levels of uncertainty. For example, when evaluating a construction project, one may consider the financial impact of the project, the environmental impact of the project, and the potential impact on society. By utilizing the fuzzy comprehensive evaluation method, these criteria can be taken into account, allowing the evaluator to arrive at an accurate and meaningful evaluation.
The method of fuzzy comprehensive evaluation works by establishing various levels of certainty, with each level having a specific weight. Each variable is then assigned a numerical value based on its level of certainty. The numerical value of each variable is then multiplied together to arrive at an overall score. This score allows the evaluator to determine which of the variables should receive the most attention in the overall evaluation.
A variety of different methods can be used to determine the numerical value associated with each variable within a given field. One common method is the “fuzzy inference” method, which involves assigning values to variables based on the likelihood that they possess a certain property. For example, in the construction field, variables such as cost, time, and quality can be assigned values according to their likelihood of achieving the desired outcome. The higher the value of each variable, the more likely it is to receive a high overall score.
Fuzzy comprehensive evaluation can be used to evaluate a wide range of variables, from construction projects to economic models. It is especially useful for evaluation projects that involve multiple variables, since it allows for the incorporation of subjective criteria and levels of uncertainty. By enabling evaluators to self-determine their levels of certainty, the method can help them to make more accurate and meaningful evaluations. This can be helpful in a variety of situations, such as determining the best way to approach a given problem or considering how various solutions can be applied to a particular issue.
