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Probability uncertainty language set multi-attribute decision-making method based on correlation coefficients

A multi-attribute decision-making and correlation coefficient technology, applied in the direction of specific mathematical models, probability networks, data processing applications, etc.

Pending Publication Date: 2021-01-08
ZHENGZHOU UNIV
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Problems solved by technology

[0004] At present, in the research of multi-attribute decision-making for probabilistically uncertain language sets, Lin et al. proposed the TOPSIS multi-attribute decision-making method for probabilistically uncertain language sets. However, in the actual multi-attribute decision-making process, the measurement and properties of the correlation coefficient and its application in multi-attribute decision-making is still rare

Method used

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  • Probability uncertainty language set multi-attribute decision-making method based on correlation coefficients
  • Probability uncertainty language set multi-attribute decision-making method based on correlation coefficients
  • Probability uncertainty language set multi-attribute decision-making method based on correlation coefficients

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Embodiment

[0059] Suppose a company invites five experts e k (k=1,2,...,5) according to cost a 1 , reliability a 2 , security a 3 , availability a 4 and function a 5 5 properties vs. 4 cloud storage services x i (i=1,2,3,4) are evaluated, and the best service is selected therefrom. Assume that the 5 experts are equally weighted. Among them, the language term element adopted by experts is S={s 0 : extremely bad, s 1 : very bad, s 2 : bad, s 3 : slightly worse, s 4 : general, s 5 : slightly better, s 6 : ok, s 7 : very good, s 8 :Excellent}. figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 Respectively represent the evaluations of 5 experts on these 4 cloud storage services.

[0060] Select the formula for calculating the comprehensive correlation coefficient of the above probabilistic uncertain language set, where α i =1 / 3(i=1,2,3), combined with the model (M-1), the attribute weight can be obtained as w=(0.0992,0.2413,0.1731,0.2593,0.2271) T .

[0061] Accor...

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Abstract

The invention relates to the technical field of multi-attribute decision making, in particular to a probability uncertainty language set multi-attribute decision making method based on association coefficients. The result is more objective and better conforms to the actual experience of a decision maker. The method comprises the following steps of: 1, determining an association coefficient of a probability uncertainty language set; 2, determining weighted correlation coefficients of the probability uncertainty language set; and 3, establishing a multi-attribute decision model based on the probability uncertainty language set correlation coefficient.

Description

technical field [0001] The invention relates to the technical field of multi-attribute decision-making, in particular to a multi-attribute decision-making method for probabilistic uncertain language sets based on correlation coefficients. Background technique [0002] Multi-attribute decision-making has been widely used in various aspects of economy, management, and social life. Considering the inconsistency of expert preferences in complex multi-attribute decision-making, Torra et al. proposed hesitant fuzzy sets. Because the decision-making problem itself has certain uncertainty and people The fuzziness of thinking makes it difficult to quantify the evaluation information with precise numbers, and the use of language evaluation or uncertain language evaluation can meet the actual needs of this type of decision-making. Therefore, Rodriguez et al. proposed a hesitant fuzzy language set, although the hesitant fuzzy language set allows There can be multiple linguistic terms th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N7/00
CPCG06Q10/063G06Q10/0635G06Q10/0639G06N7/01
Inventor 刘玉敏孙静静朱峰
Owner ZHENGZHOU UNIV
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