Rule Strategies for Intelligent Context-Aware Systems: The Application of Conditional Relationships in Decision-Support

Abstract

Rule-based systems have been shown to enable automated problem solving and decision-support. Rule-based systems are however inherently domain specific requiring strategic rules design to address the requirements specification for the problem under consideration. Rule-based systems fall into two (general) types: traditional and fuzzy rule-based systems. This paper considers rule types and strategies with an introduction to logic systems as they apply to the approach proposed in this paper and an overview of related research. Consideration is given to the principles that underlie rule-based system design. The novel Context Processing Rules and Fuzzy Event Condition Action rules are presented with an evaluation and proof-of-concept. This paper posits that fuzzy rule-based systems provide an effective approach to enable context processing with constraint satisfaction in pervasive intelligent context-aware systems with decision-support.