Assessment of work quality if there is lack of information

International Conference on Construction, Architecture and Technosphere Safety 2018

土木建筑工程

Baiburin, A.Kh.^1

Architectural and Construction Institute, South Ural State University, Lenin Avenue, 76, Chelyabinsk

454080, Russia^1

关键词: Control objects;    Control samples;    Controlled objects;    Possibility theory;    Quality systems;    Small samples;    Variable distribution;    Work quality;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/451/1/012069/pdf
DOI  :  10.1088/1757-899X/451/1/012069

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The article offers an approach to assess the work quality if there is a lack of information. A lack of information may be preconditioned by a small number of control objects, the features of controlled objects, lacking values of the features, as well as a low confidence of the features or values. The solution of the problem allows us, at a known a priori law of a random variable distribution, to make a decision using a small volume of the control sample without compromising the reliability of the solution. The approach uses the Lotfi Zadeh's possibility theory as a generalization of the fuzzy set theory. It suggests specifications for assigning the solution risk level, using the possibility theory. The solutions of two problems, using the specified theoretical base, are considered: the problem of assessing the quality system level and assessing the defectiveness of works. It is proved that at small sample volumes it is possible to obtain reliable solutions in determining the parameters of the normal distribution and the probability of defects.