Method and Application for Dynamic Comprehensive Evaluation with Subjective and Objective Information

Abstract

In an effort to deal with more complicated evaluation situations, scientists have focused their efforts on dynamic comprehensive evaluation research. How to make full use of the subjective and objective information has become one of the noteworthy content. In this paper, a dynamic comprehensive evaluation method with subjective and objective information is proposed. We use the combination weighting method to determine the index weight. Analysis hierarchy process method is applied to dispose the subjective information, and criteria importance through intercriteria correlation method is used to handle the objective information. And for the time weight determination, we consider both time distance and information size to embody the principle of esteeming the present over the past. And then the linear weighted average model is constructed to make the evaluation process more practicable. Finally, an example is presented to illustrate the effectiveness of this method. Overall, the results suggest that the proposed method is reasonable and effective.

Mine safety assessment using gray relational analysis and bow tie model

“…The integrated weight method combines these two types of methods into one, which not only reflects expert judgments but also real data. In our intuitional understanding, the value of integrated weight should fall in between subjective and objective weights, but the results did not match in some reports [ 28 – 31 ], which will be discussed further below. To solve this problem, a new formula for integrated weight was adopted in this study.…”

“…Integrated weight formula 9 is usually used in these studies [ 28 – 31 ]. where w i is the subjective weight of the i th assessment indicator, θ i the objective weight of the i th assessment indicator, λ i the integrated weight of the i th assessment indicator, and n the number of assessment indicators.…”

“…In order to eliminate the influence of human factors, such as subjective weight method, the objective variation coefficient method [ 27 ] was adopted in the process of gray relational analysis, which also saves a lot of manpower. In previous studies [ 28 – 31 ], formula 9 for calculating integrated weight had a problem in which the integrated weight was outside the ranges of paired subjective and objective weights. To solve this problem, an expectation formula that ameliorated this problem was adopted.…”

Untitled

“…The weights of the criteria were determined with the CRITIC method at the first stage. Liu and Zhao (2013) proposed a dynamic comprehensive evaluation method with subjective and objective information. For this aim they used the combination of AHP and CRITIC methods to determine the index weight.…”

Multiresponse Optimization of Ultrasonic-Assisted Extraction for Aurantii Fructus to Obtain High Yield of Antioxidant Flavonoids Using a Response Surface Methodology

“…In this study, UAE variables such as raw material concentration, sample size, extraction solvent, solvent concentration, extraction time, and extraction temperature were optimized using single-factor tests; among these, ethanol concentration, extraction temperature, and time were selected as the individual variables for the response surface methodology (RSM) by performing a three-level, three-variable Box-Behnken design (BBD) [20,21] to study the appropriate extraction conditions for AFs from ZQ. Then, we analyzed the main components of AFs from ZQ using liquid chromatography combined with quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) [7] and evaluated the quality of ZQ from different habitats using the criteria importance through intercriteria correlation (CRITIC) method [22].…”