Development of requirements for a decision support system aimed at quality assessment of public services provided based on the ontological approach

Abstract

This article describes the requirements for a decision support system which is designed to assess the quality of public services. Requirements for a decision support system are used as a starting point at its design stage and determine the functions of the developed system without showing the mechanism of its implementation. At the same time, the requirements serve as constraints in the process of system development. The set of the developed requirements for the decision support system includes basic, functional, non-functional and economic requirements. We propose to use the ontological approach in the development of requirements for the system. This allows us to solve a number of problems arising from the description of the requirements in natural language: the lack of exposition clarity, misrepresentation of the requirements and so on. The ontological model allows developers to interpret the requirements in the same way, to structure the specifi cation of requirements for the system and to eliminate blurring in their defi nitions. Ontological representation of knowledge about requirements for the developed system and about the system providing public services in general is used for the semantic integration of existing information resources, appropriate interpretation of the content of text documents and search queries presented in a natural language. The developed ontology improves the quality of user (stakeholder) interaction during the system operation. In addition, it includes rules for term combination to provide reliable assertions on the state of the decision support system.

Concept of Multi-Level Simulation Model for Developing Regional Government’s Economic Strategy

“…The majority of them are the universal, multipurpose systems based on combined use of various methods and possessing significant opportunities of complex modeling. At the same time the practice of using this systems shows that despite of wide functionalities the essential lacks interfering reception of qualitative forecasts are inherent in them, including: weak equation of modeling results (Aitova, 2018); low forecasting accuracy (Nizamutdinov, 2017); scenarios analysis toolkit limitations (Akhmetov, 2017); information supply difficulties (Chernyakhovskaya, 2017). The main principles and requirements to the imitation model's toolkit have been formulated, namely: system approach as possibility to integrate all significant elements and relations of the real object; scientific validity as necessary to use scientifically-proved methods providing strict formalization and reliability of the simulation output; balance matrix -is complete account of formation and use sources providing preservation of basic productive proportions; alternativeness -is an opportunity of model to generate and estimate alternative development strategy realization in view of scenario conditions; practical applicability -is sufficiency of official statistical base for model construction in aim to transit from theoretical calculations to practical results.…”