International Conference «Mathematical and Informational Technologies, MIT-2013»
(X Conference «Computational and Informational Technologies for Science,
Engineering and Education»)

Vrnjacka Banja, Serbia, September, 5–8, 2013

Budva, Montenegro, September, 9-14, 2013

Shvets O.  

Information-model representation of the Centre for Environmental Monitoring of Extreme Situations’ Prevention

It is planned to create a center for environmental monitoring, prevention of extreme situations (CEMPES) According a program for development of the state system of prevention and extreme situations  in Ust-Kamenogorsk. CEMPES is a complex system with a hierarchical structure. The purpose of administration the program for the CEMPES development and operation will be minimizing proximity function of the real and the desired values of the indicators change the functions of the planned realization of the program and the actual realization.
The scheme of a control subsystem component realization required the development of information technology as the original system of scientific and engineering knowledge and methods and models, ensuring the creation, collection, transfer, storage and processing of data in environmental monitoring.
The structural model of the CEMPES can be represented as a hierarchical tree. Tree’s arcs connect tops according logic scheme: the main goal - the tasks for the goal - subtask for tasks - activities related to solving subtasks - projects - objects where the work is done on the projects. Projects and works in progress are at the bottom of the hierarchy and are available to assess their condition from the outside, but as higher level of the tree hierarchy, as more subtle and unclear is the status of realization, the completeness and effectiveness of the program.
It is entered linguistic variable "Assessing the ecological status", associated with a normal convex fuzzy set and defined the term-set for estimation the status of the top.
Membership functions of the input and output variables are fuzzy numbers of LR-type. Fuzzy knowledge base is represented by a set of 47 fuzzy production rules, were created brute force of all possible conditions and effects. As a result of research a set of software and information, realizing the set tasks was developed.

Abstracts file: тез.doc
Full text file: shvetsolga.pdf

To reports list

© 1996-2019, Institute of computational technologies of SB RAS, Novosibirsk