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The Decision Support System for Distributing Tasks Related to Maintenance of the Register of Personal Data Processors Based on the Fuzzy-Production Model
Talipov Nafis Gishkullovich

graduate student, Department of Information Security, Tupolev Kazan National Research Technical University.

420111, Russia, Tatarstan, g. Kazan', ul. K.Marksa, 10

nafis.talipov@mail.ru
ƒругие публикации этого автора
 

 
Katasev Alexey Sergeevich

PhD in Technical Science

Associate Professor of Information Security Systems Department of the Tupolev Kazan National Research Technical University

420111, Russia, respublika Tatarstan, g. Kazan', ul. K.marksa, 10

Kat_726@mail.ru
ƒругие публикации этого автора
 

 

Abstract.

The subject of the present research article is the development and practical implementation of the intelligent decision support system that distributes tasks related to maintenance of the personal data processors register. The object of the research is the task of a rational choice of task performers in the system of electronic flow of documents run by the territorial body of the Federal Supervision Agency for Information Technologies and Communications. The authors examine tasks of defending the rights of personal data owners, scheme for processing and distributing these tasks of keeping the registry of personal data processors, analyze the problem of manual distribution of tasks and set a goal to automate an efficient distribution of tasks between performers. To achieve the research target, the authors offer their own fuzzy-production model that has been developed especially for these purposes. This model allows to rationally distribute tasks of different difficulty levels based on the expert evaluation of competence, working capacity and work load of performers. The authors also give a description of the decision support system and algorithm for using it in the process of tasks distribution. The scientific novelty of the authors' approach to achieving the aforesaid goal is caused by the fact that they offer an automated distribution of tasks between performers based on developing and practically implementing the fuzzy-production model. They also provide original fuzzy-production rules to formalize expert knowledge concerning a rational selection of tasks performers taking into account their competence, working capacity and current work load. Analysis of the adequacy of this fuzzy-production model as well as efficient solution of the set goals based on the developed system has proved that it is possible to considerably decrease the intellectual load of an expert in the process of tasks distribution as well as increase the speed of the decision making process by 80.3 percent. 

Keywords: software package, fuzzy-production model, tasks distribution, applied subsystem, unified information system, personal data operator, electronic flow of documents, decision support, inference algorithm, intelligent system

DOI:

10.7256/2306-4196.2016.6.21271

Article was received:

30-11-2016


Review date:

01-12-2016


Publish date:

02-02-2017


This article written in Russian. You can find full text of article in Russian here .

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