The following information was submitted:
Transactions: Please, select the Journal that you submit to
Transactions ID Number: 20-816
Full Name: Sameera Al Shayji
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: Ahmadi block 15 street 12 home 13
Country: KUWAIT
Tel: 0096599635461
Tel prefix:
Fax: 22222026
E-mail address: samira@fasttelco.com
Other E-mails: znahla@yahoo.fr
Title of the Paper: Building Fuzzy-Logic Ontology for Political Decision-Makers
Authors as they appear in the Paper: Sameera Al shayji, Nahla El Zant El Kadhi
Email addresses of all the authors: samira@fasttelco.com, znahla@yahoo.fr
Number of paper pages: 11
Abstract: Many applications have been developed in various government departments, aimed at providing and enhancing delivery of services to citizens, businesses, and organizations. However, little work has been done in building a knowledge base on ontologies that facilitate communication between stakeholders and that identify the processes and describe the data of these applications. This paper focuses on developing prototype architecture for intelligent decision support systems that can help top political decision-makers. The system is intended to be used to strengthen bilateral economic relationships between nations. Typically, decisions are influenced by certain factors and variables that are based on heterogeneous and vague information. A commons language is thus needed to describe such information, which requires human knowledge for interpretation. In this research, we propose to use an ontology to integrate vague information from the political and investment domains. T!
he process will begin with the extraction of key concepts and relationships between sets of information, and proceed to integrate fuzzy logic with ontology. The ontology includes information about important concepts in each domain. We will present a case study that contains clear concepts for the political and investment domains, the Object Paradigm ontology (OP) for each concept will be presented in order to capture a high level of knowledge to facilitate the work of decision-makers in the decision-making process of the political field. To build our ontology, we will use the Protégé-OWL editor. In this paper we will present the Ontology for the domain of bilateral economic relationships and demonstrate how using this Ontology we can obtain more suitable solution to solve the uncertainty and reasoning problems in this intelligent decision support system. The intended users are the top political decision-makers.
Keywords: Decision Support Systems, Fuzzy-Logic-Based Ontology, Government System, Ontology
EXTENSION of the file: .pdf
Special (Invited) Session: On fuzzy-logic-Baesd Ontology Decision Support System for Government Sector
Organizer of the Session: 656-106
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