Research on Operational Effectiveness Evaluation Based on Interval Number and Grey Decision Making

2014 ◽  
Vol 912-914 ◽  
pp. 1702-1705
Author(s):  
Xue Zheng Zhu ◽  
Dong Kuang ◽  
Jin Gu ◽  
Kun Lin Nie
Keyword(s):  
Decision Making ◽  
Fuzzy Number ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Interval Number ◽  
Effectiveness Evaluation ◽  
Operational Effectiveness ◽  
Model Based ◽  
Combat Effectiveness

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.

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
Keyword(s):  
Decision Making ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Engine Oil ◽  
Model Based ◽  
Engine Failure ◽  
And Performance ◽  
Failure Evaluation ◽  
Engine Condition

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.

The Application of Fuzzy Comprehensive Evaluation Method Based on Interval Number Distance in Water Quality Analysis

2013 ◽  
Vol 361-363 ◽  
pp. 954-957
Author(s):  
Xiao Ping Zhang ◽  
Wen Jie Xu ◽  
Wei Guo Chen
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Interval Number ◽  
Quality Analysis ◽  
Comprehensive Evaluation Method ◽  
Model Based ◽  
Proposed Model ◽  
Comprehensive Evaluation Model

The defects of present fuzzy comprehensive evaluation model based on interval value are pointed out. To improve these defects, a new calculation method of fuzzy membership degree is provided and a fuzzy comprehensive evaluation model based on interval number distance is built. This model is applied to Lake Dongchang. And it can be indicated that the proposed model is reasonable and practical.

scholarly journals Research on Incentive Utility Multi-attribute decision-making Model and its Application

2021 ◽  
Vol 236 ◽  
pp. 05036
Author(s):  
Wen Mi ◽  
Wen Jing ◽  
Wu Xiao-feng ◽  
Zhang Yi-ming ◽  
Fang Qiang
Keyword(s):  
Decision Making ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Ideal Point ◽  
Model Based ◽  
Comprehensive Evaluation Model ◽  
Multi Attribute Decision Making ◽  
Decision Making Model ◽  
Unified Index ◽  
Attribute Value

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.

Research on Combat Effectiveness Evaluation of Radar EW System Based on Bayesian Network

2011 ◽  
Vol 204-210 ◽  
pp. 1697-1700 ◽  
Author(s):  
Yu Jie Zheng
Keyword(s):  
Bayesian Network ◽  
Evaluation Model ◽  
Effectiveness Evaluation ◽  
Analysis Model ◽  
Key Factors ◽  
Bayesian Network Model ◽  
Simulation Data ◽  
Factors Analysis ◽  
Combat Effectiveness ◽  
Hidden Knowledge

Radar EW system combat effectiveness evaluation is a essential link to Radar system Demonstration, mainly give service to selection, optimization and key factors analysis of Weapon equipment scheme. In this paper, we introduce the Bayesian network model into the area of Radar EW system combat effectiveness evaluation and put forward the concept of combat effectiveness evaluation model based on Bayesian network. The ability to express complex relationship, the ability to express the uncertainty of probability, and the reasoning functions. By learning from Expertise and Simulation data, excavating the hidden knowledge included in both of them, we can build the combat efficiency Analysis model, and then carry out efficient analysis.

Construction Project Bid Evaluation of Group Decision-Making Model Based on Triangular Fuzzy Number

2013 ◽  
Vol 405-408 ◽  
pp. 3451-3454
Author(s):  
Ming Xuan Zhang ◽  
Dong Lei Zhang
Keyword(s):  
Decision Making ◽  
Membership Function ◽  
Group Decision Making ◽  
Fuzzy Number ◽  
Group Decision ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Triangular Fuzzy Number ◽  
Bid Evaluation ◽  
Decision Making Model

A new comprehensive evaluation based on triangular fuzzy number method is put forward in this paper, according to the principle of fuzzy comprehensive evaluation and using trichotomy to determine membership function. And a calculation example is illustrated by using the method presented. The method is a reference to the bid evaluation in the future.

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