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This paper focuses on developing prototype architecture for intelligent decision support systems that can help top political decision makers in Kuwait. The system is intended to be used to strengthen bilateral economic relationship between Kuwait and friendly nations. The scope of the study is conducted within two sectors that are closely linked to the top political decision maker and fall under different domains, political and investment domains. These two sectors are Kuwait Investment Authority (KIA) and Ministry of Foreign Affairs (MFA). Both of these sector equally impact the political decision making process. The aim in this research is to support systems that help top political decision maker in the decision making process to strengthen bilateral economic relationship between nations. Typically, such decisions are influenced by certain factors and variables that are based on scattered, unstructured, heterogeneous and vague information. The location of such information can be in the political and investment domains. The data sets involved in the decision making are unusually non-numeric and sometimes even immeasurable. A natural language is thus needed to describe such information which requires human knowledge for interpretation. A serious problem that the decision-maker faces is the difficulty in building efficient political decision support systems (DSS) with heterogeneous, scattered and distributed data. Applying ontology based method is one of the possible solutions that address: for the integration of information, lack of clarity of content and knowledge of relations between different concepts. This method can be used to generate high level knowledge and Information Integration. In this research, we propose to use ontology to integrate the scattered informational resources from the political and investment domains by extracting key concepts and relations between sets of information. Furthermore, we will integrate fuzzy logic with ontology to obtain a solution that is more suitable for solving the uncertainty and reasoning problems to make intelligent decision support solutions that can help top political decision makers for the purpose of strengthening bilateral economic relationship between nations. Fuzzy ontology membership value that reflects the strength of an inter-concept relation will be consistently used to represent pair of concepts across ontology. Each concept considers a concept consistency by assigning a fixed numeric value. Concept consistency is computed as a function of strength of all the relations associated to the concept.