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A Novel Approach for Quality of Life Evaluation: Rule-Based Expert System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39912285" target="_blank" >RIV/00216275:25410/16:39912285 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s11205-015-1052-0" target="_blank" >http://dx.doi.org/10.1007/s11205-015-1052-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11205-015-1052-0" target="_blank" >10.1007/s11205-015-1052-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Novel Approach for Quality of Life Evaluation: Rule-Based Expert System

  • Original language description

    This article presents a completely novel and innovative approach for quality of life evaluation—the usage of expert systems. The use of an expert system to evaluate the degree of quality of life is a research project, based entirely on a qualitative method, which aims at helping in understanding of how in an era of great changes residents from different countries live and work in diverse economic organizations, and how they would rate their work and life. In this article the architectural framework of an expert system in the social area domain is presented; the design and the development process of the system are also described. The designed system is intended for the evaluation of quality of life. The development of expert system for quality of life evaluation is a new information technology derived from artificial intelligent research. The novel expert system contains knowledge about sets of factors and indicators, which may be used for quality of life measure (equal protection by the law; freedom from discrimination; right to be treated equally without regard to gender, race, language, religion, political beliefs; and etc.) and works with them. The knowledge for the expert system was acquired from domain experts, texts, and other related sources. The tasks of the presented expert system are: to interact, to access knowledge, to make logical decisions, to result in conclusions, and to interpret its conclusions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EE2.3.30.0021" target="_blank" >EE2.3.30.0021: Strenthening of Research and Development Teams at the University of Pardubice</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Social Indicators Research

  • ISSN

    0303-8300

  • e-ISSN

  • Volume of the periodical

    128

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    709-722

  • UT code for WoS article

    000382401900014

  • EID of the result in the Scopus database

    2-s2.0-84961198764