Relative Distance Measure Model for the Fuzzy Synthetic Evaluation of Subgrade Stability in Seasonal Frozen Area

2012 ◽  
Vol 178-181 ◽  
pp. 1213-1217
Author(s):  
Han Bing Liu ◽  
Yi Ming Xiang ◽  
Hui Wang ◽  
Yan Yi Sun
Keyword(s):  
Structural Reliability ◽  
Distance Measure ◽  
Simulation Method ◽  
Relative Distance ◽  
Fuzzy Synthetic Evaluation ◽  
Interval Numbers ◽  
Evaluation Indexes ◽  
Measure Model ◽  
Grading Standards ◽  
Synthetic Evaluation

Based on the fuzziness and uncertainty of the subgrade stability in seasonal frozen area, the relative distance measure model with evaluation indexes and weights in the form of interval numbers is presented for the fuzzy synthetic evaluation of the subgrade stability. Firstly, the relative distance measure of each single index between the evaluated subgrade stability and the grading standards is defined. Then, the fuzzy synthetic evaluation model, which considers the functionality and proportionality of evaluation indexes, is established to calculate the comprehensive relative distance measure by using the Monte Carlo simulation method and the sequential relation analysis. Finally, a new decision index of the comprehensive relative distance measure is defined considering the concept of structural reliability, and the stability grade of seasonal frost soil subgrade can be determined by the minimum decision index from the corresponding grading standards. A practical example is given to demonstrate the feasibility and practicability of the proposed model.

Fuzzy Synthetic Evaluation of Power Quality Based on Combination Weighting Method

2011 ◽  
Vol 201-203 ◽  
pp. 2470-2475
Author(s):  
Yuan Sheng Huang ◽  
Li Ming Yuan
Keyword(s):  
Power Quality ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Weight Coefficient ◽  
National Standard ◽  
Fuzzy Synthetic Evaluation ◽  
Entropy Weight ◽  
Weighting Method ◽  
Evaluation Indexes ◽  
Synthetic Evaluation

According to the national standard, this paper presents the evaluation indexes of power quality and the classifications of each index. The method integrates advantages of both G1 and entropy weight coefficient method. Also, it establishes an fuzzy synthetic evaluation for power quality evaluation by fuzzy theory. 5 observation points on the power quality was graded. The test shows that the combination weighting evaluation model based on fuzzy synthetic evaluation can evaluate the power quality comprehensively and effectively.

Optimization Design of Oil-Water Separator Based on Fuzzy Synthetic Evaluation

2014 ◽  
Vol 945-949 ◽  
pp. 231-235
Author(s):  
Yin Dong Zhang ◽  
Yang Liu
Keyword(s):  
Optimization Design ◽  
Parametric Model ◽  
Fluid Simulation ◽  
Parametric Models ◽  
Design Parameters ◽  
Fuzzy Synthetic Evaluation ◽  
Evaluation Indexes ◽  
Water Separator ◽  
Oil Water ◽  
Synthetic Evaluation

The method of Fuzzy Synthetic Evaluation is presented to optimize oil-water separator design in the paper. Firstly, the key design parameters to be optimized are determined. Secondly, the CAD technology is applied to achieve parametric models of separator and the CFD technology is employed to fulfill fluid simulation of separator parametric models. Then, with the evaluation indexes established, the simulation results of each separator parametric model are evaluated by Fuzzy Synthetic Evaluation. Finally, by comparing the evaluation value of every parametric model, the optimal design model of oil-water separator is achieved.

Interval Distribution Power Flow with Relative-Distance-Measure Arithmetic

2021 ◽  
pp. 1-1
Author(s):  
Viet Cuong Ngo ◽  
Wenchuan Wu ◽  
Bing Wang ◽  
Yanling Du ◽  
Tuan Nguyen Ngoc
Keyword(s):  
Power Flow ◽  
Distance Measure ◽  
Relative Distance ◽  
Interval Distribution

Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

The Skimmer Selection Based on Fuzzy Decision in Response to Oil Spill

2014 ◽  
Vol 597 ◽  
pp. 472-475
Author(s):  
Yin Dong Zhang ◽  
Yang Liu
Keyword(s):  
Set Theory ◽  
Oil Spill ◽  
Evaluation Index System ◽  
Fuzzy Synthetic Evaluation ◽  
Fuzzy Decision ◽  
Decision Method ◽  
Oil Spill Response ◽  
Evaluation Matrix ◽  
Selection Of ◽  
Synthetic Evaluation

The decision method based on Fuzzy Synthetic Evaluation is presented to achieve skimmer selection in oil spill response. Firstly, the evaluation index system of skimmer is determined. Secondly, the fuzzy set theory is introduced to achieve quantification of skimmer qualitative indexes and the evaluation matrix of skimmer is established by expert investigation. Then the alternative skimmers are evaluated by the method of Fuzzy Synthetic Evaluation, and the optimal selection of skimmer can be obtained.

scholarly journals Investigation on the Mathematical Relation Model of Structural Reliability and Structural Robustness

2021 ◽  
Vol 26 (2) ◽  
pp. 26
Author(s):  
Qi-Wen Jin ◽  
Zheng Liu ◽  
Shuan-Hai He
Keyword(s):  
Structural Damage ◽  
Structural Reliability ◽  
Relational Model ◽  
Engineering Practice ◽  
Variation Trend ◽  
Evaluation Indexes ◽  
Structural Robustness ◽  
Mathematical Relation ◽  
Relation Model ◽  
Random Variation

Structural reliability and structural robustness, from different research fields, are usually employed for the evaluative analysis of building and civil engineering structures. Structural reliability has been widely used for structural analysis and optimization design, while structural robustness is still in rapid development. Several dimensionless evaluation indexes have been defined for structural robustness so far, such as the structural reliability-based redundancy index. However, these different evaluation indexes are usually based on subjective definitions, and they are also difficult to put into engineering practice. The mathematical relational model between structural reliability and structural robustness has not been established yet. This paper is a quantitative study, focusing on the mathematical relation between structural reliability and structural robustness so as to further develop the theory of structural robustness. A strain energy evaluation index for structural robustness is introduced firstly by considering the energy principle. The mathematical relation model of structural reliability and structural robustness is then derived followed by a further comparative study on sensitivity, structural damage, and random variation factor. A cantilever beam and a truss beam are also presented as two case studies. In this study, a parabolic curve mathematical model between structural reliability and structural robustness is established. A significant variation trend for their sensitivities is also observed. The complex interaction mechanism of the joint effect of structural damage and random variation factor is also reflected. With consideration of the variation trend of the structural reliability index that is affected by different degrees of structural damage (mild impairment, moderate impairment, and severe impairment), a three-stage framework for structural life-cycle maintenance management is also proposed. This study can help us gain a better understanding of structural robustness and structural reliability. Some practical references are also provided for the better decision-making of maintenance and management departments.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

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