The Use of Neuro-Fuzzy Models in Expert Support Systems for Forensic Building-Technical Expertise

Abstract

The paper is focused on solving the problem of assessing the impact of repair-building works on the technical condition of objects near which these works were or are being carried out. Particular attention is paid to the analysis of the problems that accompany the creation of expert systems for supporting forensic building-technical expertise. The main aim of the work: conceptual modeling of an expert system for supporting forensic building-technical expertise. Object of research: the process of execution of forensic building-technical expertise and expert research. Solved problem: automation of a system capable of functioning in conditions of fuzzy uncertainty caused by the non-uniformity of the logic of the process of performing forensic building-technical expertise and the ambiguity and inconsistency of the information provided for research. Main scientific results: a model of a knowledge-based system is proposed and the use of neuro-fuzzy networks is justified to solve the problem of supporting the decision to assess the impact of repair-building works on the technical condition of the object, which has become the subject of expertise. Field of practical use of research results: forensic activities in the framework of building-technical expertise to determine the possible causes of deterioration in the technical condition of structural elements of buildings and their individual premises. Innovative technological product: a support system for forensic building-technical expertise based on knowledge and neuro-fuzzy models. Scope of application of an innovative technological product: forensic and investigative practice in resolving issues requiring the use of special knowledge in assessing the impact of repair-building works on the technical condition of nearby facilities.

Comparator Identification in the Conditions of Bifuzzy Initial Data

“…If, in addition to the resulting uncertainties caused by these objective facts, take into account the uncertainties caused by the need to attract expert opinion and obtain appropriate expert assessments, there is reason to assert the effectiveness of comparator identification in conditions of fuzzy description. The latter is especially important in areas with an increased level of requirements for the safety of the operation and operation of facilities [17][18][19]. Taking into account the fact that the solution of problems arising in these applications by traditional methods of regression analysis is impossible, the method proposed in this work, which reduces the problem to solving the arising system of linear algebraic equations, the parameters of which are given indistinctly, is an effective mathematical apparatus.…”

“…Correct rules for performing arithmetic operations on second-order fuzzy numbers naturally generalize the rules proposed in [11]. Let's present those of them that will be used in the future for calculating the bi-fuzzy analogue of the objective function (19) in the problem of comparator identification. Let's introduce a pair of bifuzzy numbers F 1 and F 2 equal to:…”

Adaptation of fuzzy inference system to solve assessment problems of technical condition of construction objects

“…The possibility of applying fuzzy inference systems to solving various applied problems was shown in [6], but the use of such systems requires the adaptation of a fuzzy knowledge base to solve such domain problems as [7,8]:…”

“…In [8], the process of fuzzy inference is formalized for the task of assessing the degree of influence of construction work on the deterioration of the technical condition of objects that were nearby. But the task of assessing the influence of anthropogenic and natural factors on the technical condition of the facilities is not limited to repair and construction work.…”