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An Expert System Approach for Quality of Life Evaluation

Author Affiliations

  • 1South-West University “Neofit Rilski”, Faculty of Mathematics and Natural Sciences, Department of Informatics, Blagoevgrad, BULGARIA

Res. J. Recent Sci., Volume 4, Issue (11), Pages 134-145, November,2 (2015)

Abstract

The aim of this study is topresent an architectural framework of expert systems and to describe the design, development, and evaluation of an expert system for quality of life evaluation.A general goal of the article is to develop a prototype of expert system for social area to estimate quality of life. The presented expert system for quality of life evaluation was designated to be useful and helpful to specialists in social area. The proposed new expert system uses only qualitative data. That is the way it differs from the old methods for measuring the quality of life and the standard of living; all of them have been using only quantitative data. The expert system also uses certainty factor in its rules indicating the strength of belief in the rule. The system model consists of 150 rules covering 49 indicators of 8 factors for social area. These indicators cover: Economic situation; Housing and environment; Employment, education and skills; Structure of the household and family relationships; Balance between work and life; Health and healthcare; Urban subjective; Concepts of the quality of society. The indicators and the method of quality of life assessment were selected from series of discussions with human experts in the field of social sciences. An expert system shell called CLIPS© is used to develop a prototype of expert system which uses facts and heuristic rules to estimate the quality of life of people. The system was verified and validated for completeness, consistency, and correctness.

References

  1. Ferrell B., Theimpactofpain on quality of life, A decade of research, The Nursing Clinics of North America, 30(4), 609 (1995)
  2. Oort F., Using structural equation modeling to detect response shifts and truechange, Quality of Life Research, 14(3),587-598 (1994)
  3. European Commission, Communication from the Commission to the Council and the European Parliament: GDP and beyond: measuring progress in a changing world. COM/2009/0433 final, Brussels: Brussels: Retrievable at http://www.beyond-gdp.eu/. Accessed January 2013, (2009)
  4. European Commission, Summary notes from the Beyond GDP conference, Highlights from the presentations and the discussion, Brussels: retrievable at http://www.beyond-gdp.eu/, Accessed January 2013, (2009)
  5. Stiglitz J.E., Sen A.K. and Fitoussi J.P., Report by the Commission on the measurement of economic and social progress, Available at http://www. stiglitz-sen-fitoussi. fr/en/index.htm. Accessed February 2013, (2009)
  6. Eurofound European Foundation for the Improvement of Living and Working Conditions, 2012, Annual work programme, (2012)
  7. http://www.eurofound.europa.eu/pubdocs/2012/03/en/1/EF1203EN.pdf. Accessed January 2013, (2013)
  8. European Commission, The life of women and men in Europe: A statistical portrait, Data 1980–2000, Eurostat. Theme 3. Population and social conditions, Luxembourg, Office for Official Publications of the European Communities, (2002)
  9. WHO World Health Organization, http://www.who.int /en/, Accessed January 2013, (2013)
  10. Atanasova I. and Krupka J., On Design and Process of Development of an Expert System for Quality of Life Evaluation, 209) of 'Wulfenia' Journal (2013)
  11. Atanasova I. and Krupka J., Tools Selection for Design and Development of an Expert System for Social Area Domain, Published in the proceedings of the Fifth international scientific conference FMNS 2013, Blagoevgrad, Bulgaria, 169 – 174 (2013)
  12. Atanasova I. and Krupka J., Architecture and Design of Expert System for Quality of Life Evaluation, Informatica Economica Journal, 173), (2013)
  13. http://www.revistaie.ase.ro/current.html.Accessed September, (2013)
  14. Eurofound (project no. 0310), European Foundation for the Improvement of Living and Working Conditions, Integration of migrants and access to social rights: role of local authorities, http://www.eurofound.europa.eu/ areas/worklifebalance/eswt.htm. Accessed January 2013, (2013)
  15. Shakoor A., Shamsoddini A., Karami N., Modabri A. and Hatami M., Evaluation of Factors Affecting Women’s Political Participation in Society Case Study: Women’s Population in Jahrom City (Iran), Res. J. Recent Sci., 2(2), 23-27 (2013)
  16. Kasparova M., Krupka J. And Jirava P., Approaches to Air Quality Assessment in Locality of the Pardubice Region, Book of proceedings of the 5th International Conference EMAN (2009)
  17. Taghizadeh H., Moghadam S.S., Yasrebdoost H. and Razmi A.,Evaluation of the Relation of Business Ethics and Job Satisfaction, Res. J. Recent Sci., 2(8), 56-62 (2013)
  18. Long C.S., Jusoh A., Ajagbe M.A. and Ghee L.C., A Review on Job Stressor in the Perspective of Health Care Industry, Res. J. Recent Sci., 2(3), 81-86 (2013)
  19. European Parliament, Report on reconciling professional, family and private lives. Brussels: Committee on Women’s Rights and Equal Opportunities (A5-0092/2004), (2004)
  20. Eurofound (project no. 0272) , European Foundation for the Improvement of Living and Working Conditions, European survey on working time and work-life balance, http://www.eurofound.europa.eu/areas/worklifebalance/eswt.htm.Accessed January 2013, (2013)
  21. Alber J. and Fahey T., Perceptions of living conditions in an enlarged Europe, European Foundation for the Improvement of Living and Working Conditions, Office for Official Publications of the European Communities, Luxembourg, (2004)
  22. Rocke C., Lachman M. E., Perceived Trajectories of Life Satisfaction Across Past, Present, and Future. Profiles and Correlates of Subjective Change in Young, MiddleAged, and Older Adults, Psychology and Aging. Vol. 23, No. , 833–847, Copyright 2008 by the American Psychological Association, (2008)
  23. Alesina A., La Ferrara E., Who trusts others?, Journal of Public Economics, 85, 207–234 www.elsevier.com/ locate / econbase, (2002)
  24. Genji P and Doust M.Y., Examining the Effect of the Social Confidence, Research Journal of Recent Sciences, 2(9), 25-28 (2013)
  25. Saeed M., Shamsodin N. and Ahmad Reza K.M., How Institutional Socialization Tactics Affects the Drivers of Socialization; Newcomers' Proactively and Socialization Outcomes, Res. J. Recent Sci., 2(6), 11-16 (2013)
  26. Turban E., Expert systems and applied artificial intelligence, MacMillan, New York (1992)
  27. CLIPS (2012) http://www.jsc.nasa.gov/clips/ CLIPS. html. Accessed December, (2012)
  28. http://www.ghg.net/clips /download/documentation/, Accessed December, (2012) CLIPS Documentation (2012)
  29. Carley K., Formalizing the Social Expert's Knowledge. Carnegie-Mellon University, 2012, doi: 10.1177 /0049124188017002003, Sociological Methods Research, November 1988 vol. 17, no. 2, pp. 165-232http://smr.sagepub.com/content/17/2/165.abstract, (2012)
  30. Kelly M. J., Teaching Applications of Expert Systems. Journal of Teaching in Social Work, 9(1-2), 37-47 (1994)
  31. Schoech D., Artificial Intelligence for Professional Decisions, Computers in Human Services, 1(1), 81-115 (1985)
  32. Schuerman J.R., Social Work. Research Abstracts 23): 14-18 .doi: 10.1093/swra/23.3.14, Oxford University press, (1987)