Parallel reasoning method based on fuzzy Petri network

A reasoning method and fuzzy technology, applied in the field of parallel reasoning based on fuzzy Petri nets, can solve problems such as high cost and low efficiency, and achieve the effect of avoiding repeated triggering, obvious effect, and saving reasoning time

Pending Publication Date: 2021-11-26
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In summary, the current parallel reasoning algorithm based on

Method used

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  • Parallel reasoning method based on fuzzy Petri network
  • Parallel reasoning method based on fuzzy Petri network
  • Parallel reasoning method based on fuzzy Petri network

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Embodiment Construction

[0023] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0024] Algorithm of the present invention comprises the following steps according to the software design mode:

[0025] Step 1. There are four inference rules as follows:

[0026] R1: IF p 1 (1.0)THEN(λ 1 =0.4)p 6 (CF=0.8)

[0027] R2: IF p 2 (1.0)THEN(λ 2 =0.5)p 6 (CF=0.9)

[0028] R3: IF p 3 (0.2) AND p 4 (0.3) AND p 5 (0.5)THEN(λ 3 =0.3)p 7 (CF=0.8)

[0029] R4: IF p 6 (0.6) AND p 7 (0.4)THEN(λ 4 =0.5)p 8 (CF=0.9)

[0030] It is known that the initial credibility of the proposition represented by each library is:

[0031] m 0 =[0.8, 0.9, 0.7, 0.4, 0.8, 0, 0, 0] T , seek p 8 confidence level.

[0032] The corresponding fuzzy Petri net such as figure 1 .

[0033] Step 2, input matrix A and output matrix B are respectively

[0034]

[0035]

[0036] Step 3. According to the inference algorithm given above, the operat...

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Abstract

The invention relates to a parallel reasoning method based on a fuzzy Petri net, which is technically characterized by comprising the following steps: converting a fuzzy Petri net model into a matrix form, and providing a parallel reasoning algorithm on the basis. According to the algorithm, the reasoning process is converted into matrix operation, factors such as weights, transition thresholds and rule credibility of preconditions are considered, transition triggering conditions are further strict, some unnecessary repeated triggering of transition is effectively avoided, and the complexity of the algorithm is reduced. Examples show that the inference algorithm is easy to implement, can improve the inference efficiency, and is particularly suitable for a larger and more complex fuzzy Petri net model. The invention is reasonable in design, and based on the parallel reasoning algorithm of the fuzzy Petri net, the reasoning process is converted into the operation process of the matrix. On the premise of considering factors such as weights, transition thresholds and rule credibility, transitions which have been triggered and of which the input intensity is not increased are eliminated. Repeated triggers of transitions that no longer generate new information are avoided. Application examples show that the reasoning algorithm can save reasoning time, and the effect of the reasoning algorithm is more obvious when the fuzzy Petri net model is large and complex.

Description

technical field [0001] The invention belongs to the technical field of knowledge representation and reasoning, and relates to a parallel reasoning method, in particular to a parallel reasoning method based on a fuzzy Petri net. Background technique [0002] Petri net is an efficient modeling and analysis tool, which can better describe the structure of the system, express the parallelism, synchronization, conflict and causal dependence in the system, and can simulate events concisely and intuitively in the form of a network diagram System, to analyze the dynamic performance of the system, has been widely used in many fields. As an important branch of Petri nets, fuzzy Petri nets have the fuzzy reasoning ability of fuzzy systems, and are very suitable for application in the representation of human knowledge and artificial intelligence. At present, many scholars have studied them and proposed a variety of fuzzy Petri nets. The model and the corresponding fuzzy reasoning algor...

Claims

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Application Information

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IPC IPC(8): G06F30/22G06N5/04
CPCG06F30/22G06N5/048
Inventor 李孝忠徐欢
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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