In Russia each year appears 15 million tons of building scrap. According to statistic agency data, there were 10% of this measure is reused, almost for backfill pits and some for use as material filler. At Voronezh state technical university in the chair of Building structures and basements, realized experience of construction new low-rise houses made from reused building materials (scrap), which came from demolition places by lean dismantle. From the 2011 year till today by this technology have constructed not less 5 days each year in Voronezh region. The purpose of this research work is an evaluation of the growth the volume of reuse building scrap in Voronezh region. The main task is elimination obstacles of the growth potential of using this dismantle technology with following construction low-rise houses made from reused materials.

In this article reengineering of processes of classification of objects in neural intellectual information systems of city development in the conditions of multi criteria approach is considered. The universal algorithm of calculation of cumulative total opinion of experts of the city district on the basis of a median of Kemeni who allows to order in the most reliable and objective way clusters rankings in the complex multilevel structures representing objects of municipal economy is offered. For receiving reliable results of an indistinct clustering it is necessary to reproduce the specified algorithm repeatedly at a certain number of clusters for various initial indistinct splitting and to compare values of criterion function of indistinct splitting which were received, for the purpose of adoption of the final decision on a necessary indistinct clustering.