A new method of bid evaluation for renovation projects: Based on unascertained measure theory and entropy weight
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To determine the winning bidder of renovation projects scientifically and reasonably, this paper constructs a bid evaluation model for renovation projects based on unascertained measure theory and the entropy weight method. According to the classification criteria of each index, a single-index unascertained measure function is constructed, and the unascertained measure of each index is calculated. The index weight is determined by the entropy weight method, the bid evaluation grade is determined by credible degree recognition criteria, superiority ranking is carried out, and the optimal result is obtained. Finally, an actual case study is used to verify the validity and practicability of the model. This case study shows that the model is an organic combination of the entropy weight method and unascertained measure theory and can provide a new idea for bid evaluation of renovation projects.Keywords:
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In our previous study, focusing on a ranking determination, we developed two ranking models. The foundation of these ranking models is derived from either one of the two ranking methods, denoted by Ranking (I) and Ranking (II), that were proposed in our previous papers. The purpose of this paper is to analyze the mathematical structure in the process of generating Ranking (I) and Ranking (II) in detail and to study the properties of the two ranking methods.
Ranking SVM
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In order to roundly and scientifically evaluate overall benefit in coal enterprises, an evaluation index system of overall benefit in coal enterprises was established based on the definite selection principle of evaluation indexes and the characteristics of coal enterprises, and the evaluation of overall benefit in coal enterprises was studied by means of the entropy coefficient method. The analysis of applied results of an coal enterprise shows that the evaluation index system of overall benefit in coal enterprises is reasonable and the model of multifactor comprehensive evaluation based on entropy is suitable to evaluate overall benefit in coal enterprises.
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In the process of machining, it is very important to measure the machining spare parts accurately. It is very necessary to analyze every element that influences the measure results completely, induding the changing temperature, the size of measure force, the contact area of measure, measure principle, etc. The paper analyses the effects of measure accuracy on them and points out the methods of decreasing measure error to get qualified products in practice.
Spare part
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The existing badminton ability evaluation methods have the problems of unscientific indicators and non-objective results, and the larger the number, the more time consuming it is. The multidimensional evaluation model of badminton technical ability proposed in this paper uses the inverse entropy weighting method for objective weighting, weakens the influence of extreme values, determines the weight value according to the inverse entropy of each evaluation index, and then combines with the technique of similarity ranking preference with ideal solution (TOPSIS) to obtain the positive ideal solution and the negative ideal solution for each evaluation object. For the ideal solution, the comprehensive evaluation ranking is obtained according to the degree of proximity, and the evaluation grade is determined. The experimental results show that the comprehensive evaluation results are consistent with the single elimination results, the method is faster in evaluating the comprehensive ability of the badminton group, the evaluation process is more scientific and objective, and the evaluation results have high accuracy.
TOPSIS
Ideal solution
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“Measure for measure.” Get access F. J. Furnivall F. J. Furnivall Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume s5-I, Issue 16, 18 April 1874, Page 304, https://doi.org/10.1093/nq/s5-I.16.304a Published: 18 April 1874
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This study constructed a performance evaluation index system of low carbon supply chain from the economic, resources and environment. This index system highlights the environmental value orientation and green culture technology evaluation. On this basis, uses entropy value method to definite the index system of index weigh and uses the fuzzy comprehensive evaluation method to establish the evaluation model. It overcomes the respective faults of the entropy value method and fuzzy comprehensive evaluation method and makes low carbon supply chain performance evaluation more scientific and accurate. Finally, the model was verified analysis.
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Put forward a fuzzy comprehensive evaluation method of mining area ecosystem health status in this paper.First of all,establish an indicator system of the mining area ecosystem health status evaluation.Secondly,use analytic hierarchy process (AHP) to determine the weight coefficients of indicators,and amend the weight coefficients by entropy technology.And then,calculate the membership grade of evaluation indicator.And adopt a three-level fuzzy comprehensive method to evaluate.Finally,adopt maximum membership degree method or score method to process evaluation findings according to the actual need.This evaluation method firstly adopts AHP and entropy techniques to determine the weight coefficient of evaluation index,and firstly adopt maximum membership degree method or score method to process evaluation findings according to the actual need,and these provide the basis for a quantitative assessment of ecosystem health status in mining area.This evaluation method need to be further integrated the actual situation in mining area,such as indicators,weights of some indicators and so on,and improved and perfected in order to spread the application.
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In a previous study, we developed various ranking schemes based on the Perron-Frobenius Theorem. These methods will be applied to cases in which teams or individuals have the same ranking or score for the results of a sport match or exam. The absolute ranking method is one of the ranking schemes applied to the scores obtained by students. If this method is applied, clear ranking will be determined even among students who achieved the same score, but the ranking does not depend on the order of high score because of the characteristic of the generation process of absolute ranking. Therefore, we introduce a method of generating a controlled absolute ranking that coincides with the order of high score with the maximum influence of the characteristic of absolute ranking.
Absolute (philosophy)
Ranking SVM
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