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Interval intuitionistic fuzzy multi-attribute group decision supplier selection method

A technology of fuzzy intuition and group decision-making, which is applied in data processing applications, special data processing applications, complex mathematical operations, etc. It can solve the problems of not using hesitation information, not considering comprehensively, and not fully considering the definition of interval intuition fuzzy numbers.

Pending Publication Date: 2021-03-16
DALIAN UNIV
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Problems solved by technology

[0004] According to the above literature research, the weight of experts is mainly determined by similarity or proximity, but the above literature does not use the information of hesitation in decision-making, the consideration is not comprehensive enough, and the definition of interval intuitionistic fuzzy numbers is not fully considered

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  • Interval intuitionistic fuzzy multi-attribute group decision supplier selection method
  • Interval intuitionistic fuzzy multi-attribute group decision supplier selection method
  • Interval intuitionistic fuzzy multi-attribute group decision supplier selection method

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Embodiment Construction

[0061] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments: taking this as an example to further describe and illustrate the present application.

[0062] Aiming at the problem of supplier selection in which experts evaluate supplier attributes as interval intuitionistic fuzzy numbers, under the premise that the expert weight is completely unknown, the more similar the expert is to the group, the greater the weight should be, and a weighted interval is designed for this purpose. The two-way projection formula of the number matrix is ​​used to determine the weight of the experts. The content of the present invention is to first use the existing operator to assemble the decision matrix of each expert to form an average decision matrix, and use the decision matrix of each expert to split into a membership degree matrix, a non-membership degree matrix and a value hesitation matrix , and use the impr...

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Abstract

The invention discloses an interval intuitionistic fuzzy multi-attribute group decision supplier selection method, which comprises the following steps: firstly, gathering a decision matrix of each expert by utilizing an existing operator to form an average decision matrix, and splitting the decision matrix and the average decision matrix of each expert into a membership degree matrix, a non-membership degree matrix and a hesitance degree matrix; calculating the two-way projection values of mthe embership degree matrix and non-membership degree value hesitance degree matrix of each expert and average decision matrix by using an improved bidirectional projection formula; and finally, carrying out weighted fusion on the three projection values to solve the similarity between each expert and the group so as to determine the weight of each expert. And finally, performing group decision-making through the determined weight, and selecting an optimal supplier. According to the method, the definition and the effect of the interval intuitionistic fuzzy number are fully considered, so that the decision result is more reasonable in sequencing and optimization of suppliers.

Description

technical field [0001] The invention relates to a group decision-making method, in particular to an interval intuitionistic fuzzy multi-attribute group decision-making supplier selection method. Background technique [0002] Supplier selection is essentially a multi-attribute group decision-making problem. The evaluation method is an important exogenous force that affects supplier selection. Choosing an effective evaluation method is the most important thing in supplier selection. In order to describe decision information, Zadeh proposed the concept of fuzzy sets. But with the emergence of complex decision-making problems, it is not enough to use fuzzy sets including membership degrees to describe decision-making information. Therefore, in order to describe complex decision-making problems more comprehensively, Atanassov proposed an intuitionistic fuzzy set including membership degree, non-membership degree and hesitation degree. However, in reality, due to the limited kno...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2457G06F17/16G06Q10/06
CPCG06F16/24578G06F17/16G06Q10/06393Y02P90/30
Inventor 杜秀丽聂彦刚吕亚娜邱少明
Owner DALIAN UNIV
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