Interval binary semantic information axiom based uncertain language group decision method

Abstract

The invention discloses an interval binary semantic information axiom based uncertain language group decision method. According to the invention, an axiom design theory is adopted, information axiom minimization is considered, and the subjective judgment and preference of each evaluation expert are integrated, so that a reasonable decision making result is obtained. The interval binary semantic information axiom based uncertain language group decision method is suitable for the multi-attribute group decision issue of language information; the calculation method is simple, and a novel approach for solving the multi-attribute decision making issue of the language information is provided. The experiment result shows that the method is very effective.

Description

Technical field [0001] The present invention is a multi -attribute decision -making field, which involves an uncertain language group decision -making method based on interval dual semantic information axioms. Background technique [0002] Due to the complexity of the decision -making problem and the vagueness and uncertainty of the decision -making information, at the same time, the asymmetry of different decision makers' information grasp may not be accurately given to the value of evaluation.It is represented in the form of interval number.Therefore, the study of multi -attribute group decision -making issues has very important theoretical significance and practical application value, so it is widely used in the fields of economic project evaluation and plan selection. [0003] Literature [1] Based on the idea of approaching the ideal point method, the distance of the alternative scheme is calculated by calculating the alternative solution by calculating the alternative soluti...

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Problems solved by technology

[0004] In actual situations, the optimal solution obtained by the method [1] based on the principle of approximating the ideal solution is not always close to the ideal solution, because such methods cannot reflect the closeness of each solution to the positive and negative ideal solutions

Although the VIKOR method [2-3] can overcome this deficiency based on the idea of ​​compromise planning, the method needs to meet two conditions when using the final evaluation value to sort, namely, the acceptable advantage threshold condition and the acceptable decision reliability condition. In fact, it is very difficult to satisfy these two conditions at the same time, because there is often little difference between the various schemes, which makes the VIKOR method unable to achieve complete sorting

In addition, literature [4] refined the fuzzy evaluation information before decision-making modeling, resulting in the loss of evaluation information, and did not depart from the category of classical decision-making.

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