2020
DOI: 10.1155/2020/5614581
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Rock Mass Quality Evaluation Based on Unascertained Measure and Intuitionistic Fuzzy Sets

Abstract: Evaluation of rock mass quality is of great significance to the design and construction of geotechnical engineering. In order to evaluate the quality of engineering rock mass scientifically and deal with the fuzzy information in the rock mass quality evaluation reasonably, a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy sets (UM-IFS) was proposed. First, the membership of rock mass quality evaluation index was determined by the single index measure function o… Show more

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Cited by 8 publications
(8 citation statements)
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References 30 publications
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“…The indicator weights play a crucial role in rockburst prediction and evaluation, as they reflect the relative contribution of each indicator to the evaluated object, mainly including subjective and objective weighting methods [55]. The subjective weighting method mainly assesses the weight of each indicator in the decision-making process by evaluating the experience and attitude of the decision maker, thereby determining the level of importance of each indicator to the final decision, while the objective weighting method obtains relatively objective calculation results by using mathematical algorithms based on all the information contained in the raw data.…”
Section: Weighting Calculation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The indicator weights play a crucial role in rockburst prediction and evaluation, as they reflect the relative contribution of each indicator to the evaluated object, mainly including subjective and objective weighting methods [55]. The subjective weighting method mainly assesses the weight of each indicator in the decision-making process by evaluating the experience and attitude of the decision maker, thereby determining the level of importance of each indicator to the final decision, while the objective weighting method obtains relatively objective calculation results by using mathematical algorithms based on all the information contained in the raw data.…”
Section: Weighting Calculation Methodsmentioning
confidence: 99%
“…Unascertained measurement is a method that can effectively deal with fuzzy and uncertain information [55]. However, the traditional unascertained measurement approach uses a confidence criterion for calculations [56][57][58][59][60][61], which introduces some subjectivity.…”
Section: Introductionmentioning
confidence: 99%
“…the measurement x ij belongs to the range of the kth rank C k and satisfies the "nonnegative boundedness, normalization, and additivity" properties of the following equations and z is called an unconfirmed measure, or simply a measure [15]:…”
Section: Evaluation Methodologymentioning
confidence: 99%
“…As shown in Eqs. (9) to (12), the digital features (En, a', k) are determined by the half interval length a i j . According to the set pair theory [32], the width of the half interval needs to be considered in the following two types:…”
Section: B Connection Cloud Modelmentioning
confidence: 99%
“…Therefore, credible and effective prediction of rockburst has great significance to underground engineering. At present, scholars have proposed various prediction methods based on the actual measurement data and experimental results of rockburst and related theories, such as set pair analysis [1], idea point method [2], extension comprehensive evaluation [3], distance discrimination method [4], projection pursuit method [5], fuzzy sets method [6], machine learning method [7], metaheuristic approaches [8], unascertained measure theory [9], and so on. However, due to the complexity of rockburst and the shortcomings of the above-mentioned methods, it is still necessary to explore new rockburst prediction methods.…”
Section: Introductionmentioning
confidence: 99%