Fuzzy Interference Referee Model of Fault Diagnoses for Automobile Engine

2011 ◽  
Vol 138-139 ◽  
pp. 321-326
Author(s):  
Zhe Wang ◽  
Li Fang Kong ◽  
Wei Kui Wang

According to the engine condition and the complexity, uncertainty and nonlinear of the corresponding parameters, it puts forward an engine failure evaluation model based on the comprehensive decision-making fuzzy inference. This method takes all the corresponding characteristic parameters such as engine oil, vibration, and performance parameters as the study factors. By analyzing the sensitivity degree of these parameters to the change of the engine and its trend over time, different membership functions will be established based on various factors by means of statistical analysis and inference. Entropy-based data fusion and expertise can determine the levels of weight distribution of each factor in the comprehensive evaluation, thus, the engine failure evaluation model based on the comprehensive decision-making fuzzy inference can be established.

2014 ◽  
Vol 912-914 ◽  
pp. 1702-1705
Author(s):  
Xue Zheng Zhu ◽  
Dong Kuang ◽  
Jin Gu ◽  
Kun Lin Nie

During the combat effectiveness evaluation,some problems such as the precise number,interval number and the language fuzzy number exist in the evaluation values.To solve these problems,this paper introduces the interval number and grey decision making principle and brings forward a operational effectiveness evaluation model based on the interval number and grey decision making.This model can truly reflect the comprehensive evaluation value of the weapon equipment operational effectiveness.


2021 ◽  
Vol 236 ◽  
pp. 05036
Author(s):  
Wen Mi ◽  
Wen Jing ◽  
Wu Xiao-feng ◽  
Zhang Yi-ming ◽  
Fang Qiang

This paper puts forward the concept of incentive utility, which converts the value of each attribute in multi-attribute decision-making into a unified index for measurement, thus simplifying multi-attribute decision-making. In this paper, a comprehensive evaluation model based on the TOPSIS of incentive utility is established. Through the establishment of incentive index, the utility of incentive and the calculation of ideal point of utility, the disadvantage of "ideal point is not ideal" in the TOPSIS is overcome. It can better synthesize the sub-attribute value and realize the subjective multi-attribute decision-making. The example shows that the model can apply subjective factors to decision-making scientifically, and the result is more reasonable and effective.


2013 ◽  
Vol 14 (Supplement_1) ◽  
pp. S227-S256 ◽  
Author(s):  
Chong Wu ◽  
Xin Wang ◽  
Xinying Zhang ◽  
Yongli Li ◽  
Brad O’Brien

In order to eliminate the impact of the sample's objective merits on the evaluation results, this research built a two-stage model of Chinese airline competitiveness evaluation to reflect the subjective management and performance. In the first stage, Analytic Hierarchy Process (AHP) and Factor Analysis (FA) models were used to analyze the data from 2008 to 2009. In the second stage, two kinds of comprehensive evaluation indexes in 2008 were taken as the reference index set, and two kinds of comprehensive evaluation indexes in 2009 as the current index set. The four sets of data were calculated with the Group Decision-making Model Based on Data Envelopment Analysis (DEA) with Restraint Cone. This paper has (1) enriched the theory of airline competitiveness,(2) built a more scientific and comprehensive evaluation index system of airlines’ competitiveness, (3) constructed a competitiveness evaluation model based on BRE, and (4) conducted an empirical study of the improved model based on the 2008 and 2009 data from 15 Chinese airlines. The ranking results of the proposed method, theory and model coincide with the real conditions of the airline market demonstrating that our evaluation of airline competitiveness based on BRE is accurate, reliable and objective.


2020 ◽  
Vol 223 ◽  
pp. 107520
Author(s):  
Lucas Gabriel Zanon ◽  
Rafael Ferro Munhoz Arantes ◽  
Lucas Daniel Del Rosso Calache ◽  
Luiz Cesar Ribeiro Carpinetti

2014 ◽  
Vol 602-605 ◽  
pp. 3379-3383
Author(s):  
Yong Sheng Liu ◽  
Zan Zhang

In multiattribute decision making, it is critical to indentify the importance degree of attributes before the overall assessment of the alternatives. In this paper, we give a measurement of importance degree of attributes based on knowledge discovery in the decision information system, which satisfies the conditions of fuzzy measure. Further, we construct an evaluation model combined Choquet integral with the importance degree measure. The case study illustrates the validity and the effectiveness of the method.


2013 ◽  
Vol 340 ◽  
pp. 240-244
Author(s):  
Peng Ye ◽  
Zhong Wen Chen

In this paper, the problem of evaluating the key discipline level of university is studied. Firstly, the index system of evaluation is established, i.e., academic team, scientific research, talent training, and academic reputation. Then, an evaluation model of evaluating the key discipline is presented based on the theory of fuzzy mathematics and decision making. Therefore, a novel and effective way is given to solve the problem of evaluating the key discipline level of university under the uncertain information.


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