In this paper, a new fuzzy interpolative reasoning method is proposed for the sparse rule bases by using the highest points and slopes of the antecedent and consequent fuzzy sets. The proposed fuzzy reasoning methods are not only suitable for the four kinds of fuzzy sets in inference rules, but also can guarantee the convexity and normality of the reasoning consequence. Furthermore, the computa...

This paper examines the traditional architecture of fuzzy expert reasoning and suggests a reorientation, which is simpler, more intuitive, and more implementable. This new approach centers on first determining the degree of satisfaction that a rule applies to the current situation, and then using this degree of satisfaction to qualify the rule’s conclusion. This provides a theoretical basis for...

In this paper we propose a wet lab algorithm for prediction of radiation fog by DNA computing. The concept of DNA computing is essentially exploited for generating the classifier algorithm in the wet lab. The classifier is based on a new concept of similarity based fuzzy reasoning suitable for wet lab implementation. This new concept of similarity based fuzzy reasoning is different from convent...

The paper describes the usage of the fuzzy Mamdani analysis and Taguchi method to optimize the tourism satisfaction in Thailand. The fuzzy reasoning system is applied to pursue the relationships among the options of a tour company in order to be used in Taguchi experiments as the responses. In this research, tourism satisfaction is carried out using L18 Taguchi orthogonal arrays on parameters s...

Some difficulties emerging during the construction of fuzzy rule bases are inherited from the type of the applied fuzzy reasoning. The fuzzy rule base requested for many classical reasoning methods needed to be complete. In case of fetching fuzzy rules directly from expert knowledge, the way of building a complete rule base is not always straightforward. One simple solution for overcoming the n...

The notion of the fuzzy assertion based on propositional modal logic is introduced and the properties of the fuzzy reasoning based on fuzzy assertions are studied. As an extending of the traditional semantics of modal logics, the fuzzy Kripke semantics is considered and a formal fuzzy reasoning system based on fuzzy constraint is established. In order to decide whether a fuzzy assertion is a lo...