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New research equipment spare part variety determination method

A technology for determining methods and equipment, applied in data processing applications, instruments, calculations, etc., can solve the problem of lack of processing capacity in the decision-making information of newly developed equipment and spare parts, and achieve the effect of wide application value and application scenarios

Active Publication Date: 2021-06-25
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional rough set decision-making method is only suitable for the decision-making information of discrete definite value data, and lacks the corresponding processing ability for the decision-making information of newly-developed equipment and spare parts with prominent hesitation and fuzzy characteristics

Method used

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  • New research equipment spare part variety determination method
  • New research equipment spare part variety determination method
  • New research equipment spare part variety determination method

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Experimental program
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Embodiment Construction

[0087] Such as figure 1 As shown in , a method for determining the variety of newly developed equipment spare parts is implemented by comprehensively using hesitant fuzzy sets and rough sets. The specific implementation is as follows:

[0088] 1) Definition of fuzzy set and rough set

[0089] 1.1 Hesitant fuzzy sets, in the process of multi-attribute decision-making, when a single decision evaluates an attribute, it often hesitates to decide on several possible values, and it is very common that decisions are difficult to reach a consensus. This type of decision-making information It is called hesitant ambiguous information. In order to deal with hesitant fuzzy information, avoid loss of decision-making information, and obtain reasonable results, hesitant fuzzy set is an extended form of fuzzy set, each element of which is a set composed of several possible values, and the mathematical expression of hesitant fuzzy set;

[0090] Definition 1 Suppose X is a non-empty set, then...

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Abstract

The invention relates to the technical field of equipment maintenance support, and discloses a new research equipment spare part variety determination method. Through fuzzy rough definition and a spare part variety determination model of hesitant fuzzy rough set decision, a hesitant fuzzy decision information system of spare part variety determination, a numerical continuation method of risk preference coefficients, and attribute reduction and rule acquisition of improved inclusion degree calculation are constructed. The method comprises the following specific steps: calculating selection of all decision-making conditions, obtaining hesitant fuzzy decision-making information after condition attributes are recombined, calculating the inclusion degree of the condition attributes in the decision-making attributes in a hesitant fuzzy decision-making information table after the combination, deleting condition attributes item by item, calculating a new decision rule, if the new decision rule is not changed, removing the deleted condition attributes redundantly, and repeating calculation, so a maximum decision reduction set is obtained. The invention provides an extraction method for determining the variety of spare parts. The problem of decision information application under the condition of incomplete information is solved. The effect of the method is verified, and the method has wide application value and application scenes.

Description

technical field [0001] The invention relates to the technical field of equipment maintenance and support, in particular to a method for determining varieties of newly developed equipment spare parts. Background technique [0002] Determining the type of spare parts is the basis for optimizing the configuration of spare parts and an important prerequisite for clarifying the demand for spare parts. The lack of spare parts will directly lead to the shutdown of equipment due to the shortage of spare parts, which will affect the smooth implementation of tasks; while the redundancy of spare parts will increase the excessive investment of manpower, material resources and financial resources in spare parts support, resulting in low support benefits. At present, domestic and foreign studies on spare parts demand and inventory allocation are relatively abundant, but there are few studies on the method of determining the variety of spare parts. In fact, only by scientifically determin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/06311G06Q10/0635G06Q10/20
Inventor 杨超陈小卫侯兴明秦海峰张琳琳徐庆尧
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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