Air conditioner production optimization method based on interval type-2 fuzzy decision rough set model

Abstract

The invention relates to the technical field of air conditioner product production optimization, and especially relates to an air conditioner production optimization method based on an interval type-2 fuzzy decision rough set model. The method comprises the following steps: S1, establishing an interval type-2 fuzzy information system; S2, obtaining an interval type-2 fuzzy loss function matrix; S3, determining a conditional probability; S4, calculating an expected loss value; S5, calculating a combined sorting value; and S6, judging the optimal production mode of the green air conditioner. The method has the beneficial effects that the representation capability of the uncertain information can be enhanced, the uncertain information in the production process of the green air conditioner product is effectively processed, information loss is avoided, and the reliability and reliability of a production mode result of the green air conditioner product are ensured; a green air conditioner product production mode with the minimum expected risk can be effectively found out, and expected losses are effectively reduced; nd the method has certain advantages in the aspects of objectivity, simplification, stability, calculation complexity and the like of a production mode.

Description

technical field [0001] The invention relates to the technical field of production optimization of air-conditioning products, in particular to an optimization method for production of air-conditioning based on an interval type-two fuzzy decision-making rough set model. Background technique [0002] my country is the world's largest air-conditioner manufacturing base, with output accounting for more than 70% of the world's total. In the traditional production process of air-conditioners, various environmental wastes such as noise, waste gas, waste water, waste oil, and waste residues will be generated, which will affect the ecological environment and human beings. Threats to survival and development. In recent years, the government has increasingly emphasized that air-conditioning products should meet the indicators of "green, environmental protection, and health", and consumers have also paid more and more attention to the green characteristics of air-conditioning products. T...

AI Technical Summary

Problems solved by technology

[0006] The present invention is in order to make up for the following three deficiencies in the production optimization method of green air-conditioning products in the prior art: 1. The prior art mainly uses exact values ​​or trapezoidal fuzzy sets to describe the evaluation information of the production mode of green air-conditioning products, and the subordinate of trapezoidal fuzzy sets The degree is an accurate value, which cannot fully describe the high uncertainty of the evaluation information of green air conditioners, and cannot guarantee the accuracy and reliability of the information representation results; 2. The existing technology mainly uses the evaluation matrix of the production mode of green air conditioners to determine the optimal production 3. The existing technology mainly uses the ideal point method or case analysis method to determine the optimal production plan of green air-conditioning products, and only considers the two options of acceptance and rejection , used to deal with the two-way decision-making problem, which cannot meet the requirements of complex air-conditioning production decision-making situation and uncertainty information processing

Images