Modeling of intellectual support system for decision-making on technical regulation in building
Journal Title: Вісник Одеської державної академії будівництва та архітектури - Year 2018, Vol 1, Issue 72
Abstract
One of the ways to solve the problems of increasing the speed and reliability of the functioning of expert systems is the development of software tools the work of which is based on the concept the knowledge base usage. The article suggests a model of an intelligent decision-making support system on technical regulation in construction. There is a substantiation of its ability to function in the conditions of changes occurring in the regulatory support of the construction industry of Ukraine. The stages of the formation of a fuzzy knowledge base of the system are described. The derivation of fuzzy rules is carried out on the basis of generalized experience of the previous projects and estimations of the real characteristics of the objects at the exploitation stage. Particular attention is paid to the increasing of automation the degree of the process of choosing the best solution from a variety of possible options that appear as a result of the transition to the parametric method of valuation. The uncertainty that is inherent in construction activities during the transformation period is classified according to the nature of the information available. The article describes of processing of an object the uncertainty choosing from a variety of design decisions. The article contains the substantiation of the expediency of the applying of the models and methods of fuzzy mathematics in the expert knowledge formalization in the form of fuzzy rules, which in the future can be used to solve the problem of finding the best design solution from a given set of acceptable alternatives using evolutionary neural networks and is proved. It is proposed to use models and methods of fuzzy mathematics and deterministic approach together. To demonstrate the logic of the system when processing uncertainty and justifying the norms and rules, an example of the formation of a fuzzy knowledge base and the principle of comparison of fuzzy rules formed according to the prescriptive and parametric methods of rationing is considered.
Authors and Affiliations
D. V. Isaenko, S. A. Terenchuk
Keywords
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