Application of fuzzy matter-element model in scheme selection of cooling and heating sources for air-conditioning

Author(s):  
hui-qing Liu ◽  
Xian-qi Zhang
2013 ◽  
Vol 357-360 ◽  
pp. 2277-2281 ◽  
Author(s):  
Jun Guan ◽  
Zhi Hui Zhang ◽  
Yong Wu

Selection of material supplier is important to international construction project management, and can bring impacts on the project's quality, schedule and cost. Considering the features of international construction projects, we built a selection decision-making evaluation index system. Triangular fuzzy AHP (Analysis of Hierarchy Process) method was used to calculate the weights of evaluation index. Using the medium value of triangular fuzzy number, a simple and convenient method was developed to test the consistency of judgment matrix. Base on calculating the weights of evaluation index, a fuzzy matter-element model was proposed to calculate the comprehensive evaluation values. Taking the selection of cement suppliers of the Congo (Brazzaville) National Road One Second Project as an example, the Euclid closeness of alternative suppliers was calculated to determine the ranking order of alternatives.


Author(s):  
Wu Yun-na ◽  
Yang Yi-sheng ◽  
Feng Tian-tian ◽  
Kong Li-na ◽  
Liu Wei ◽  
...  

2010 ◽  
Vol 159 ◽  
pp. 270-273
Author(s):  
Fei Shao ◽  
Feng Li ◽  
Ke Bin Jiang ◽  
Pei Li

Refitting sites selection of ocean trawler in wartime, is affected by a variety of technical factors and other factors such as organization, planning, management, and so on. The index system is given by detailed analysis of the influence factors. A fuzzy matter-element model is built up in view of the fuzziness and incompatibility of the indexes, combining quantitative analysis with qualitative analysis, with quantifying the qualitative indexes by linguistic variables and fuzzy numbers. The information entropy theory is used to calculate the value of index weights, to reduce the subjective randomness. The multi-objective selection problem is transformed into the single-object decision by Euclid approach degree. The example shows that the method is very practical and the result is objective.


2019 ◽  
Vol 95 (3) ◽  
pp. 296-301
Author(s):  
U. A. Rakhmanin ◽  
S. E. Shibanov ◽  
Sergey V. Kozulya

Purpose of work is a compilation of data about the microflora which colonizes a split-system, with the aim of selection of sanitary-indicative microorganisms, whose presence in the sample would indicate to the need for cleaning and disinfection of split-systems. Materials and methods. In the article there were used data of five years author’s scientific inquiry, related to the prevention of respiratory diseases, associated with the usage of a local air conditioning systems. We also use the data from the literature. Results. For selection of “indicative” microorganisms, we proposed the usage of nine criteria, each of them have numeric value from 0 to 3 points (risk for health, prevalence rate of the disease, epidemiological link, speed of split system’s colonization, difficulty of cultivation, resistance in the environment, resistance to disinfectants, frequency of detection in home air conditioning systems, frequency of detection in air conditioning systems of public buildings). After the calculation Pseudomonas aeruginosa and Staphylococcus aureus received maximal score (20 points). Therefore, these two types of bacteria are indicative microorganisms. The detection of these microorganisms in split systems will indicate to the contamination of air-conditioning system. This microflora also is a criterion of cleaning and disinfection quality - presence of these microorganisms in the samples after this process will mean that the processing of air conditioning systems was performed poorly. Conclusions. Split systems are very faster colonized by conditionally pathogenic and pathogenic microflora. To prevent the possible hazard for population’s health it is necessary to develop the normative base, according to which sanitary-and-hygienic control over the split-systems working must be carried out. Proposed criteria suggest that Pseudomonas aeruginosa and Staphylococcus aureus are indicative microorganisms, and it’s identification in the air-conditioning system would mean risk for health and necessity for cleaning and disinfection.


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