IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

On Design and Development of QLIFEX: An Expert System for Social Area

On Design and Development of QLIFEX: An Expert System for Social Area
View Sample PDF
Author(s): Irena Atanasova (South-West University “Neofit Rilski”, Bulgaria & University of Pardubice, Czech Republic)
Copyright: 2018
Pages: 17
Source title: Intelligent Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5643-5.ch055

Purchase

View On Design and Development of QLIFEX: An Expert System for Social Area on the publisher's website for pricing and purchasing information.

Abstract

This article presents an architectural framework of an expert system in the social area domain, and describes the design and the process of development of the expert system. The designed system is intended for the evaluation of quality of life (QL). The development of expert system for quality of life evaluation is a new information technology derived from artificial intelligence research. The new expert system will contain knowledge about sets of factors and indicators, which may be used for quality of life measure, as followings: equal protection by the law; freedom from discrimination; right to be treated equally without regard to gender, race, language, religion, political beliefs, etc. Details of the expert system for quality of life evaluation, its basic modules, design and some implementation details are also explained. The system uses the vast database and the knowledge acquired from social experts. The system is being developed in C Language Integrated Production System CLIPS. The expert system, described in this paper, is called QLIFEX, and it has already been designed so it uses the same knowledge for the following function: to provide expert evaluation for quality of life in the social area. The knowledge for the expert system will be acquired from domain experts, texts and other related sources.

Related Content

Mohammed Adi Al Battashi, Mohamad A. M. Adnan, Asyraf Isyraqi Bin Jamil, Majid Adi Al-Battashi. © 2026. 30 pages.
Potchong M. Jackaria, Al-adzran G. Sali, Hana An L. Alvarado, Rashidin H. Moh. Jiripa, Al-sabrie Y. Sahijuan. © 2026. 26 pages.
Elizabeth Gross. © 2026. 30 pages.
Siti Nazleen Abdul Rabu, Xie Fengli, Ng Man Yi. © 2026. 44 pages.
Mohammed Abdul Wajeed. © 2026. 30 pages.
Aldammien A. Sukarno, Al-adzkhan N. Abdulbarie, Wati Sheena M. Bulkia, Potchong M. Jackaria. © 2026. 24 pages.
Abdulla Sultan Binhareb Almheiri, Humaid Albastaki, Hanadi Alrashdan. © 2026. 26 pages.
Body Bottom