System Target Damage Assessment Based on FAHP

2013 ◽  
Vol 321-324 ◽  
pp. 2367-2370
Author(s):  
Xiao Nan Zhang ◽  
Si Lang Du ◽  
Jun Feng Yang ◽  
Wei Cao
Keyword(s):  
Analytic Hierarchy Process ◽  
Damage Assessment ◽  
Target Function ◽  
Assessment Method ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Base Damage ◽  
Hierarchy Analysis ◽  
Set Up ◽  
Hierarchy Process

It is found that the traditional BDA methods are not appropriate the system target BDA. A new method of the system target BDA is proposed in this paper. Firstly, based on Hierarchy Analysis Method (AHP), the system target function index system is set up. Secondly, the step of system target function damage assessment method is analyzed and proposed based on Fuzzy Analytic Hierarchy Process (FAHP). Finally, an example of air base damage assessment is given to verify the validity and availability of the proposed method.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

Assessment Reasearch about Agricultural Water Level

2011 ◽  
Vol 71-78 ◽  
pp. 2479-2482
Author(s):  
Ling Hua Wang ◽  
Rui Lian Wang ◽  
Pan Hua Ning
Keyword(s):  
Analytic Hierarchy Process ◽  
Water Level ◽  
Assessment Method ◽  
Agricultural Water ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
System Utilization ◽  
Assessment Index System ◽  
Hierarchy Process ◽  
Water Assessment

According to characteristics about the agricultural water, agricultural water level assessment index system was structured, and Analytic Hierarchy Process was used to determine the importance of each hierarchy in the system. The fuzzy scheme optimum method which was adopted to assess the agriculture system utilization water level. So the fuzzy problems about how to use mathematic method to analyse and deal with the agricultural water assessment were solved to a certain extent. The final result of the example indicated that fuzzy comprehension assessment method could reflect utilization water characteristic in different areas and also showed that the method is correct and practical.

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

2013 ◽  
Vol 742 ◽  
pp. 497-500
Author(s):  
Meng Lin Xu ◽  
De Shen Zhao
Keyword(s):  
Analytic Hierarchy Process ◽  
Measurement Data ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Actual Measurement ◽  
Entropy Weight Method ◽  
Hierarchy Analysis ◽  
Height Prediction ◽  
Weight Method ◽  
Hierarchy Process

Based on actual measurement data in Da Ping as the samples,according to the experience, and ends with calculate every factors weight and height prediction of the water conducted zone by Matlab using the combination entropy-weight method and analytic hierarchy process. this paper introduces a comprehensive prediction model consisting of analytic hierarchy process and combination entropy-weight method. The method,overcoming weights imbalance,gives the evaluation result better than does the single analytic hierarchy process, it is a new valid method for scientific forecast on water conducted zone.

Research on the Preventive Measures of Sports Injury Based on Causality Diagram and Analytic Hierarchy Process

2013 ◽  
Vol 380-384 ◽  
pp. 1838-1842
Author(s):  
Zu Xu Zhou
Keyword(s):  
Physical Education ◽  
Analytic Hierarchy Process ◽  
Primary Schools ◽  
Sports Injury ◽  
Analysis Method ◽  
Prevention Measures ◽  
Analytic Hierarchy ◽  
Analysis Theory ◽  
Hierarchy Process ◽  
Weight Coefficients

Because of the frequent occurrence of injury accident in the sports curriculum, the security of physical education cannot be ignored. So, this paper analyzes the factors of injury accident in physical education teaching process and proposes prevention measures. The establishment of security system in physical education is an urgent problem. This paper studies the causes and countermeasures of sports injury accidents based on two methods: causality diagram and analytic hierarchy process. The first section introduces the principles of causality diagram and hierarchical analysis in detail. The second part of the article establishes mathematical model of the analysis method. The part three of the text investigates and analyzes the accident status and prevention measures of 100 primary schools and universities in Heilongjiang province in the form of literature researches and questionnaires. It also proposes weight coefficients and causality diagrams of Sports Injury Accidents using causal analysis theory. It converts causal diagram into a hierarchical model using the analytic hierarchy process AHP.

Study on the Difficulty Sorting of Experimental Projects Based on the AHP

2011 ◽  
Vol 271-273 ◽  
pp. 363-367
Author(s):  
Lian Hui Liu ◽  
Juan He
Keyword(s):  
Analytic Hierarchy Process ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Experimental Instruction ◽  
Comparison Judgment ◽  
Judgment Matrix ◽  
The Analytic Hierarchy Process ◽  
Set Up ◽  
Hierarchy Process

To classify the difficulty of the experiments is the basis of the effective mutlit-level experimental instruction. In this paper, we employ the analytic hierarchy process (AHP) method to compare and analyse the difficult of the experiments, and set up a corresponding comparison judgment matrix to the difficulty of the projects. We obtain some sortings of difficulty of experiments, which coincide with the fact. Our studies offer an effective way to the rational sorting of difficulty of experiments.

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