Introduction to artificial intelligence and expert systems
Introduction to artificial intelligence and expert systems
Integration of weighted knowledge bases
Artificial Intelligence
A semantics for reasoning consistently in the presence of inconsistency
Artificial Intelligence
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Trust in inter-organizational exchanges: a case study in business to business electronic commerce
Decision Support Systems
Coping with conflict in cooperative knowledge-based systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
IEEE Transactions on Fuzzy Systems
Automated interpretation of key performance indicator values and its application in education
Knowledge-Based Systems
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This paper deals with the notion of constructing an efficient fuzzy rule-base (FRB) as a knowledgebase (KB) from raw fuzzy rules to build a fuzzy expert system (FES) for consumer trustworthiness in Internet marketing. No business transaction can be performed without trust. Trust is not only a short-term issue but also the most significant long-term barrier for realizing the potential of Internet marketing to consumers. Due to the increasing complexity of the systems, many factors affecting trust are defined by fuzzy variables for more meaningful representation. The fuzzy responses for the factors are given by fuzzy rules for fuzzy decision making about trust. In fact, a large numbers of rules are surveyed heuristically at the initial stage where redundancy, inconsistency and conflicting rules may be present, which may lead to contradictory decision. In order to remove such problems, an interactive fuzzy rule classification approach based on a fuzzy rule similarity index is introduced with a decision-maker's satisfaction level. Finally an application of generating a fuzzy rule base for online purchasing is illustrated in order to apply the proposed methodology.