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Architecture and Design of Expert System for Quality of Life Evaluation

Author

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  • Irena ATANASOVA
  • Jiří KŘUPKA

Abstract

This article presents an architectural framework of an expert system (ES) in the social area domain and describes the design of the ES, using the shell Expert System for Text Animation (ESTA). The designed system is intended for the evaluation of quality of life (QL). The development of ES for QL evaluation is a new information technology derived from artificial intelligent research, using ESTA system with application in social area domain. The proposed ES contains knowledge about sets of factors (objective conditions and subjective perception) and indicators, which may be used to QL measure, as followings: equal protection of the law; freedom from discrimination; right to be treated equally without regard to gender, race, language, religion, political beliefs, nationality, socio-economic status and more; right to privacy; freedom of thought; free choice of employment; right to fair pay; equal pay for equal work; right to vote; right to rest and leisure; right to education. The system is developed in the ESTA, which is Visual Prolog 7.3 Application. The knowledge for the ES will be acquired from domain experts, texts and other related sources.

Suggested Citation

  • Irena ATANASOVA & Jiří KŘUPKA, 2013. "Architecture and Design of Expert System for Quality of Life Evaluation," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(3), pages 28-35.
    • Handle: RePEc:aes:infoec:v:17:y:2013:i:3:p:28-35
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    References listed on IDEAS

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    1. Alesina, Alberto & La Ferrara, Eliana, 2002. "Who trusts others?," Journal of Public Economics, Elsevier, vol. 85(2), pages 207-234, August.
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    Cited by:

    1. Irena Atanasova & Elena Karashtranova, 2016. "A Novel Approach for Quality of Life Evaluation: Rule-Based Expert System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 709-722, September.

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