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Mathematical model of an intelligent decision support system for road quality management
Author(s) -
Elshan Maggeram Oglu Abbasov,
Nataliya Teodorovich,
N P Sidorova,
Tamara Salman qızı Abbasova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1159/1/012037
Subject(s) - decision support system , computer science , function (biology) , intelligent decision support system , set (abstract data type) , mode (computer interface) , quality (philosophy) , knowledge base , operations research , evidential reasoning approach , data mining , artificial intelligence , engineering , business decision mapping , philosophy , epistemology , evolutionary biology , biology , programming language , operating system
The experience of operation of decision support systems is analyzed, it is shown that the existing principles of creating these systems do not take into account the failure and change in the performance of individual service element, which depend on the current load on the system. The definition of an adaptive decision support system as an intelligent system that works in an automated mode and is able to function in a changing environment, its internal structure, knowledge base, regulatory framework for management, support tools, system users is given. The tasks of construction a mathematical model of an adaptive decision support system and determining its objective function are set. A distributed decision support system, which receives information containing data from various input sources was studied. For construction a mathematical model of the system under investigation, the procedures for selecting mathematical models and methods of queuing theory were used. To assess the quality and effectiveness of an adaptive decision support system, simulation modeling is proposed.

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