Multi-attribute decision-making system based on image fuzzy set

Abstract

The invention discloses a multi-attribute decision-making system based on an image fuzzy set. The multi-attribute decision-making system is characterized in that an acquisition module acquires a decision matrix from an input end; a data judgment module performs standardized judgment on the decision matrix; a normalization processing module acquires a non-normalized decision matrix from the data judgment module and performs normalization processing; a relative value calculation module calculates the image blurring relative closeness of each scheme; an absolute value calculation module calculates the image blurring absolute closeness of each scheme; a fusion calculation module calculates the image fuzzy comprehensive closeness of each scheme; a decision-making module obtains the image fuzzycomprehensive closeness of each scheme from the fusion calculation module, and determines the scheme with the maximum image fuzzy comprehensive closeness as the optimal scheme after sequencing the advantages and disadvantages of the schemes; and a display module obtains the optimal scheme from the decision module and displays the optimal scheme.

Description

technical field [0001] The invention relates to the technical field of decision-making technology, and more specifically relates to a multi-attribute decision-making system based on image fuzzy sets. Background technique [0002] At present, the research on multi-attribute decision-making problems has always been the direction of people's attention. Multi-attribute decision-making is an important part of the decision-making system. Under the consideration of various interrelated factors, from a limited number of alternatives , to select a solution that satisfies the decision maker. [0003] However, due to the uncertainty and ambiguity of people's thinking and the limited decision-making information they have, it is difficult for people to make accurate decisions for complex decision-making problems in reality. Combining the knowledge of fuzzy mathematics, people introduce fuzzy sets into decision-making problems to expand and supplement decision-making theory. Intuitionis...

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Problems solved by technology

We found that the essence of the regular projection model of image blur is the projection of the vector formed by the alternative solution and the absolute ideal solution of image blur on the vector formed by the relatively positive ideal solution of image blur and the absolute ideal solution of image blur. However, this method only Considering the relationship between alternatives and positive ideal points, ignoring the relationship with negative ideal points, so when the projection values ​​of different alternatives are equal, it is impossible to judge the order of their pros and cons

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