scholarly journals Artificial Intelligence Machine Translation Based on Fuzzy Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Zhimin Li
Keyword(s):  
Artificial Intelligence ◽  
Machine Translation ◽  
Fault Tolerant ◽  
Fuzzy Theory ◽  
Analytic Hierarchy ◽  
Fuzzy Algorithms ◽  
The Neural Network ◽  
Permutation Model ◽  
Hierarchy Process ◽  
Translation Optimization

In order to study machine translation more in-depth, it is particularly important for the research of artificial intelligence with fuzzy algorithms to convert an unfamiliar language into a mature language. The neural network translation model has been developed in recent years and has achieved rich research results. Aiming at the current lack of accuracy of neural machine translation (NMT), which may cause ambiguity, this paper takes English machine translation as an example and proposes an artificial intelligence machine translation optimization model based on fuzzy theory. On the basis of NMT model translation, first the semantics of English machine translation is classified, a semantic selection model is built, then the analytic hierarchy process is used to determine the semantic order of English machine translation, and the corresponding fault-tolerant operation is carried out to the error-prone errors, weight the semantics, and introduce the fuzzy theory to arrange the English semantics of English machine translation. Finally, the performance of the model is analyzed through specific application experiments. The results show that the accuracy of the machine translation selection permutation model is improved by nearly 4.5% and can reach more than 90% compared with other models, and the timeliness is better than other models, which is improved by nearly 15%, which has obvious advantages.

scholarly journals Quality yarn index using AHP and Fuzzy method

2020 ◽  
Vol 71 (05) ◽  
pp. 487-491
Author(s):  
MOHAMED BEN HASSEN ◽  
MOHAMED TAHER HALIM ◽  
EMAD ABUALSAUOD ◽  
ASEM OTHMAN
Keyword(s):  
Fuzzy Theory ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Yarn Quality ◽  
Multicriteria Problem ◽  
Global Quality ◽  
Matrix Coefficients ◽  
Mechanical And Physical Properties ◽  
Hierarchy Process

The yarn quality depends on many parameters: characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities

Decision Evaluation of Harbin Metro Based on Fuzzy Theory

2013 ◽  
Vol 438-439 ◽  
pp. 1024-1027
Author(s):  
Xiao Guo Chen
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Decision Makers ◽  
Geological Environment ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Model ◽  
Hierarchy Process ◽  
Weight Coefficients

The paper introduces some information about Harbin Metro line 1, makes the decision analysis on economies, environment, society and geological environment of Harbin Metro line 1 by some fuzzy comprehensive evaluation model, and gives the weight coefficients of indicators through analytic hierarchy process. The comprehensive evaluation result provides the basis for decision-makers during decision of metro projects.

scholarly journals An evaluation method for green logistics system design of agricultural products: A case study in Shandong province, China

2019 ◽  
Vol 11 (1) ◽  
pp. 168781401881687 ◽  
Author(s):  
Songyuan Ni ◽  
Yu Lin ◽  
Yongxing Li ◽  
Hui Shao ◽  
Shiguang Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Agricultural Products ◽  
Green Logistics ◽  
Analytic Hierarchy ◽  
Fuzzy Transformation ◽  
Hierarchy Process

Recently, the environmental issue caused by logistics of agricultural products has attracted a great deal of attention. In order to solve the problem, much of work focuses on green logistics to decrease environmental pollution. However, the green logistics evaluation system of agricultural products is insufficient. Therefore, establishing a reasonable green logistics evaluation system for agricultural products plays a key role in the development of green agricultural products. In this work, domestic and international environmental factors which affect the development of the green logistics of agricultural products are analyzed based on reduction, reuse, and recycling principle of circular economy. In addition, a series of evaluation indicators for green logistics of agricultural products are developed. A fuzzy analytic hierarchy process method is proposed to make a comprehensive evaluation for green logistics of agricultural products based on evaluation indicators. The method combined analytic hierarchy process and fuzzy theory, where a fuzzy transformation operator is introduced. The proposed method is applied for decision-maker in view of knowledge management. In order to verify the applicability of approach, the approach is applied to green logistics of Shandong agricultural products.

Identification and Gradation of Risk Sources in Subway Station Construction Based on Hole-Pile Method

2013 ◽  
Vol 438-439 ◽  
pp. 1020-1023
Author(s):  
Dong Yang Geng ◽  
Li Jun Cao ◽  
Xiang Mei Yu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Subway Station ◽  
Construction Process ◽  
Analytic Hierarchy ◽  
Risk Sources ◽  
Risk Source ◽  
Hierarchy Process ◽  
Danger Level

This paper identifies and grades the major risk sources in the Center Street Subway Station in Shenyang, by adopting the Fuzzy Theory to make identification and gradation of risk sources in subway station construction with hole-pile method. By the analytic hierarchy process, it computes the weight and membership of every risk source during the construction process, establishes the evaluation model for identification and gradation of risk sources in hole-pile construction of subway station, obtaines the weights and indictors during the overall construction process of the Center Street Subway Station in Shenyang, and finally determines the danger level in subway station construction under the maximum membership principle. The research gives a reference for hole-pile construction of subway station.

scholarly journals Artificial Intelligence for Governance in India: Prioritizing the Challenges using Analytic Hierarchy Process (AHP)

2019 ◽  
Vol 8 (2) ◽  
pp. 3756-3762
Keyword(s):  
Artificial Intelligence ◽  
Analytic Hierarchy Process ◽  
Primary Data ◽  
Government Officials ◽  
Ethical Considerations ◽  
Analytic Hierarchy ◽  
Use Of Data ◽  
Convenience Sampling ◽  
Hierarchy Process ◽  
And Storage

The aim of the present study is to find the relative importance of related challenges of implementing artificial intelligence (AI) in governance within the context of India. Eight sub-dimensions of challenges categorized under three main dimensions are considered for prioritization. The analytic hierarchy process (AHP) methodology is employed to prioritize the challenges. The primary data pertaining to pair-wise comparisons of various factors and sub-factors has been obtained from 170 government officials by using convenience sampling. The results indicate that concerns related to data security, acquisition and storage are the major challenges in implementing AI assisted governance. Additionally, ethical considerations related to unethical use of data and lack of trust are other challenges which may act as barriers in diffusing AI in governance.

scholarly journals Application of Artificial Intelligence in College Dance Teaching and Its Performance Analysis

2020 ◽  
Vol 15 (16) ◽  
pp. 178
Author(s):  
Yingping Wang ◽  
Guang Zheng
Keyword(s):  
Artificial Intelligence ◽  
Performance Analysis ◽  
College Education ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Promotive Effect ◽  
Hierarchy Process ◽  
Fuzzy Interval

Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of colleges. To solve the problem, this paper identifies the problems with the AI in college education and dance teaching, theoretically discusses the application strategies of the AI in dance teaching of colleges, and demonstrates the promotive effect of AI in college dance teaching. Next, a performance analysis model was established based on fuzzy interval num-ber, grey system theory, and analytic hierarchy process (AHP), and adopted to evaluate the performance of the AI application in college dance teaching. The research results shed a new light on the application of cutting-edge tech-niques in college education.

scholarly journals Research on Intelligent Evaluation Model of Railway Internationalized Earthquake Emergency Rescue Talents Based on Analytic Hierarchy Process and Fuzzy Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jin Jing ◽  
Yang Yu ◽  
Jiang Yuxin
Keyword(s):  
Analytic Hierarchy Process ◽  
High Intensity ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Analytic Hierarchy ◽  
Earthquake Disaster ◽  
Rescue Work ◽  
Emergency Rescue ◽  
Hierarchy Process ◽  
Rescue Personnel

Earthquakes occur frequently in the 21st century and cause a large number of casualties; induced secondary geological disasters will cause more serious casualties. How to reasonably deal with the earthquake disaster to carry out emergency rescue work is becoming increasingly urgent; the ability level of earthquake disaster emergency rescue personnel is directly related to the follow-up relief effect. Based on this, aiming at the emergency rescue ability of nationalized railway management talents in high-intensity earthquake areas around the world, this paper will use the methods of analytic hierarchy process and fuzzy theory to construct an intelligent evaluation model of railway international earthquake emergency rescue personnel ability. In addition, this paper carries out a questionnaire survey of experts in related fields and model empirical research and puts forward optimization measures and suggestions for the personnel training of railway international earthquake emergency rescue in high-intensity seismic areas based on the results of model evaluation.

scholarly journals Risk Analysis Based on AHP and Fuzzy Comprehensive Evaluation for Maglev Train Bogie

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Chengxin Fan ◽  
Fengshan Dou ◽  
Baiming Tong ◽  
Zhiqiang Long
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Tolerance ◽  
Weak Links ◽  
Risk Level ◽  
Maglev Train ◽  
Analytic Hierarchy ◽  
Risk Sources ◽  
Hierarchy Process

The maglev bogie is the key subsystem for maglev train security. To ensure life and property security, it is essential to evaluate its risk level before its operation. In this paper, a combinational method of analytic hierarchy process and fuzzy comprehensive evaluation is proposed to assess hazards in a complex maglev bogie system associated with multiple subsystems’ failures. The very comprehensive identification of risk sources has been done by analyzing the structure of maglev bogie. Furthermore, based on the fuzzy theory, linguistic evaluation set is classified according to risk tolerance. The score of each risk factor is obtained by weighted sum of the result of fuzzy comprehensive evaluation. Our results show that the degree of maglev bogie’s risk is within the range of acceptability. The merits of this work facilitate finding the weak links and determining the maintenance of maglev bogie system.

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