Prikhodko T. Automation of decision-making at highway bridges strategy exploitation planning

The methods of estimation and prognosis of the road-transport bridges technical state and project decisions acceptance (PDA) in a multicriterion environment. Methods: systems analysis; expert systems' development methods and methods of artificial intelligence, including fuzzy set theories; theories of decisions acceptance in a multicriterion environment in the conditions of vagueness. the Scientific results: firstly developed: complex of models of the automated estimation and prognosis of road-transport bridges technical state, that based on the fuzzy set theory; mathematical model of knowledge base for CAD system of automated estimation of the road-transport bridges technical state; heuristic model for possible strategies of road-transport bridges exploitation searching in computer-aided designs. The applied results: algorithms and facilities of the technical state automated estimation (TSAE) and bridges and their elements residual resource forecasting in the conditions of incomplete information, which constitute the kernel of expert system PDA support in relation to strategy of exploitation of bridges; generalization of normative estimation of the technical state of construction, which allows to carry out TSAE of both elements and whole bridge on the unified index - reliability, that is the result of application of fuzzy sets. A novelty is the developed new models of the TSAE and prognosis of the road-transport bridges technical state, that based on the fuzzy set theory; new models and methods for PDA in a multicriterion environment; mathematical model of knowledge base for CAD system of TSAE for the road-transport bridges. Realization of work and introduction results developed models, methods and algorithms of PDA, knowledge base which contains fuzzy inference rules and linguistic description of bridges elements' defects have been inculcated to Automated expert bridges management system (AEBMS). The sphere of the use is building industry.