scholarly journals A Cultural and Functional Approach to the Assessment of Logical Thinking Ability in English Writing

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Cao Juan
Keyword(s):  
Influencing Factors ◽  
Membership Function ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Mathematics ◽  
Logical Thinking ◽  
English Writing ◽  
Thinking Ability ◽  
And Function ◽  
The Membership Function

The analysis of influencing factors of logical thinking ability in English writing is the key effective factor of evaluating logical thinking ability in English writing. In order to accurately evaluate logical thinking ability in English writing, this paper studies the evaluation method of logical thinking ability in English writing from the perspective of culture and function. This paper analyzes the relationship between the influencing factors of logical thinking ability in English writing. The factors of text structure and language expression reflect the culture and function of logical thinking ability in English writing, respectively, which have a direct impact on logical thinking ability in English writing. From these two aspects, 15 evaluation indexes are selected to construct the evaluation system of logical thinking ability in English writing. Considering the significant fuzziness of logical thinking ability in English writing from the perspective of culture and function, the comprehensive evaluation method of fuzzy mathematics is used for the process, the evaluation criteria are determined, the evaluation matrix is constructed, and the membership function is calculated, to complete the comprehensive evaluation of fuzzy mathematics based on the membership function and weight matrix. The experimental results show that this method can accurately evaluate the logical thinking ability of English writing and can be effectively used in the area of research.

A Fuzzy Approach to Assess the Contractor’s Competitiveness

2011 ◽  
Vol 71-78 ◽  
pp. 3946-3949 ◽  
Author(s):  
Na Dong ◽  
Jing Zhang ◽  
Min Jiu Yu
Keyword(s):  
Influencing Factors ◽  
Quantitative Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Criteria ◽  
Qualitative Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Approach ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

A competitive contractor is the guarantee of project’s success, so how to choose a suitable contractor is critical for the owners. However, among the influencing factors considered in the selection, some can be quantitatively evaluated with clear evaluation criteria while others can only be qualitative evaluated so that no specific scores can be obtained. For the above reasons an improved fuzzy comprehensive evaluation method is proposed in which all assessment factors are divided into two categories and are evaluated with different criteria. The method integrates the advantage of quantitative evaluation and qualitative evaluation. Finally it is verified by a case and the result shows that the application of the improved fuzzy approach to choose contractor is effective and reasonable.

scholarly journals Routing Algorithm of Wireless Sensor Network and Robustness Analysis Based on Fuzzy Mathematics

2017 ◽  
Vol 13 (12) ◽  
pp. 85 ◽  
Author(s):  
Ying Xiang ◽  
Miaochao Chen ◽  
Xiaohong Zhuang ◽  
Xiaoxing Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Routing Algorithm ◽  
Robustness Analysis ◽  
Fuzzy Comprehensive Evaluation ◽  
Wireless Sensor ◽  
Fuzzy Mathematics ◽  
Comprehensive Evaluation Method

<p style="margin: 1em 0px;"><span lang="EN-GB"><span style="font-family: Times New Roman; font-size: medium;">In order to reduce the energy consumption and enhance the robustness of wireless sensor network (WSN), this paper proposes a hierarchical clustering routing algorithm based on fuzzy mathematics (HCRAFM). To make a comprehensive analysis of WSN, it is also necessary to detect the robustness of the network. Facing the multiple random variables, the traditional robustness detection models assume that all nodes have the same weight, making it impossible to quantify the analysis indices or obtain accurate results. Thus, the fuzzy mathematics theory was introduced to the WSN robustness detection, forming a fuzzy comprehensive evaluation method. The simulation results show that the HCRAFM strikes a load balance between WSN nodes, extends the life cycle of each node, and prolongs the service life of the network. In addition, the proposed algorithm is proved to have sound robustness and strong applicability.</span></span></p>

Application of Fuzzy Safety Evaluation Method in Automobile Enterprises

2014 ◽  
Vol 722 ◽  
pp. 413-418
Author(s):  
Lei Wu ◽  
Gang Chen ◽  
Long Wu ◽  
Wen Juan Zhang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Fuzzy Mathematics ◽  
Fuzzy Evaluation ◽  
Comprehensive Evaluation Method ◽  
Strong System

Fuzzy evaluation method is a comprehensive evaluation method based on fuzzy mathematics. It is widely used because of its characteristics for clear results and strong system, and it can solve the problem of fuzzy and difficult to quantify. This paper using an automobile enterprise as an example introduces the application of fuzzy safety evaluation method.

Analysis and Simulation of Geomagnetic Map Suitability Based on Vague Set

2016 ◽  
Vol 69 (5) ◽  
pp. 1114-1124 ◽  
Author(s):  
Lihui Wang ◽  
Le Yu ◽  
Nan Qiao ◽  
Desheng Sun
Keyword(s):  
Membership Function ◽  
Evaluation Method ◽  
Score Function ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Vague Set ◽  
Weighted Score ◽  
Optimisation Model ◽  
Optimal Area ◽  
The Membership Function

An evaluation method named vague set is proposed to describe the suitability of a geomagnetic map. It is based on the Fuzzy Decision Making (FDM) method, and overcomes the FDM model's shortcomings that favouring and opposing content cannot be taken into account simultaneously. The membership function and non-membership function are used to define the influence of the geomagnetic map parameters on map suitability, including standard deviation, information entropy, roughness and slope variance. The weight of each geomagnetic map parameter is calculated by establishing an optimisation model. Vague set data are divided into four types after classification, and Weighted Score Function Values (WSFVs) of matching areas are obtained by using the Weighted Score Function (WSF) method. Then, WSFV of each matching area are compared to select an optimal area. Simulation results demonstrate that geomagnetic map suitability is positively proportional to the function value, and matching error is negatively proportional to the WSFV of the matching area.

Evaluation of Jujube Beverage Prescriptions with Fuzzy Mathematics

2011 ◽  
Vol 271-273 ◽  
pp. 573-576 ◽  
Author(s):  
Han Gao ◽  
Su Fang Fu
Keyword(s):  
Citric Acid ◽  
Sensory Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Mathematics ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

The effects of different prescriptions on the sensory evaluation of jujube beverages were investigated with the method of fuzzy comprehensive evaluation, in which taste, color, flavor, and body were taken as the evaluation factors with proper weights. The results showed that the fuzzy comprehensive evaluation method could differentiate the grades of different products objectively and accurately. The optimum prescription was found as follows: fermented jujube puree of 90%, sugar of 8%, honey of 0.5%, citric acid of 0.15% as well as proper compound stabilizer.

Applying of Electrical Imaging Survey (EIS) to Evaluate Leachate Pollution in Underground Area of Informal Landfill

2014 ◽  
Vol 878 ◽  
pp. 739-745
Author(s):  
Song Du ◽  
Di Wang ◽  
Zi Shen Mou ◽  
Jing Jin ◽  
Rui Jiang Zhao ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Membership Function ◽  
Fuzzy Mathematics ◽  
Sanitary Landfill ◽  
Specific Resistivity ◽  
Borehole Data ◽  
Electrical Imaging ◽  
The Membership Function

An informal landfill is an open dump that pollutes the underground environment because it lacks an impervious liner. The leakage of such a landfill is unidirectional and thus difficult to directly test. This study uses electrical imaging survey to evaluate the pollution of the underground environment of an informal landfill for municipal solid waste in Beijing. We hypothesize that every location has a specific resistivity resulting from the leachate. We use the membership function of fuzzy mathematics to quantitatively represent the pollution of the underground environment in the sanitary landfill. The results are consistent with borehole data.

Fuzzy Comprehensive Evaluation Method and Application of Slope Stability

2011 ◽  
Vol 243-249 ◽  
pp. 4969-4974 ◽  
Author(s):  
Li Ming Wu ◽  
Zi Jian Wang
Keyword(s):  
Slope Stability ◽  
Membership Function ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Impact Factors ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Dip Angle

Establish a nonlinear membership function of slope stability taking the case of six different sliding blocks on a typical slope and do a second class fuzzy comprehensive evaluation on the determinate membership. Comparing the result of stability evaluated with former result determined by extension classified method, it shows that it is basically conforming to evaluate slope stability using membership function which is established according to the changing rules of impact factors of slope such as quality of rock, massiveness of rock mass and dip angle of rock. This method can be referential in a qualified sense for the forecasting and preventing of landslide disasters.

Optimize Oil Field Simulation Measures through Multi-Factor Comprehensive Evaluation Method Based on Fuzzy Mathematics and Grey Correlation

2012 ◽  
Vol 524-527 ◽  
pp. 1503-1506
Author(s):  
Zhi Kun Liu ◽  
Qi Li ◽  
Shao Xiang Zhang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Oil Field ◽  
Gray Relational Analysis ◽  
Fuzzy Mathematics ◽  
Field Stimulation ◽  
Comprehensive Evaluation Method ◽  
Relational Analysis ◽  
The One

This paper adopts the multi-factor comprehensive evaluation method combining fuzzy mathematics and gray relational analysis to conduct oil field stimulation measures optimization. It overcomes the one-sidedness of the man-made assignment through the replacing correlation of ray correlation analysis with weight set of fuzzy comprehensive evaluation. The paper first analyzed the factors that affect the oil field stimulation measures, and then created a multi-factor comprehensive evaluation theoretical model, finally based on the instance to evaluate the model. The results show that the method is feasible and has high application value.

scholarly journals Research on Fuzzy Plastic Constitutive Model Based on Membership Function

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xigang Wang ◽  
Liling Jin ◽  
Mingfu Fu
Keyword(s):  
Stress State ◽  
Cyclic Loading ◽  
Yield Point ◽  
Membership Function ◽  
Yield Function ◽  
Loading Path ◽  
Fuzzy Mathematics ◽  
Model Based ◽  
Plastic Yield ◽  
The Membership Function

Soil has no obvious yield point, and the classical elastoplastic theory contradicts the uncertainty of the plastic yield point of the soil. Therefore, a fuzzy plastic Cambridge model based on the membership function was designed by combining the fuzzy mathematics with the Cambridge model. This model made the plastic membership function to correspond with the fuzzy yield function. The plastic strain at any stress state was calculated using the fuzzy Cambridge model and was compared with the indoor triaxial test results, and they were in good agreement. Therefore, it is appropriate to use fuzzy mathematics to express the unobvious soil yield property. The characteristics of soil yield in any stress state is reflected by the fuzzy plastic theory, which indicates that there is entirely no elasticity at any stress state. Moreover, the varying degrees of plasticity and the degree of plastic yield were uniquely determined by the plastic membership function. The fuzzy plastic model used the membership function change to replace the complex hardening. Additionally, the cyclic loading path was clear and appropriate for the cyclic loading and unloading calculations.

Research for Wearability Test and Comprehensive Evaluation of Knitted Fabric Made of Jutecell Fiber

2012 ◽  
Vol 184-185 ◽  
pp. 1510-1514
Author(s):  
Jia Guang Meng ◽  
Jing Jing Li ◽  
Ning Li
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Test Methods ◽  
Fuzzy Mathematics ◽  
Knitted Fabric ◽  
Knitted Fabrics ◽  
Comprehensive Evaluation Method ◽  
Knitted Structure

The article briefly introduced the wearing characteristics and the test methods of jutecell fiber knitted fabrics of 7 kinds different structures, like comfortableness, fastness and other properties, and used the fuzzy mathematics comprehensive evaluation method to analyze and estimate the wearing characteristics of jutecell fiber knitted fabric. Finally reach a kind of knitted structure with the optimum wearing characteristic.

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