Complete Characterization of Structure of Rule 54

A Characterization of the Infinitesimal Conformal Transformations on Tangent Bundles

Improvement of Rule Generation Methods for Fuzzy Controller

This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states in training data causes high error in modeling. Here, Probability fuzzy system presents to...

Characterization of fuzzy complete normed space and fuzzy b-complete set

The present paper introduces the notion of the complete fuzzy norm on a linear space. And, some relations between the fuzzy completeness and ordinary completeness on a linear space is considered, moreover a new form of fuzzy compact spaces, namely b-compact spaces and b-closed spaces are introduced. Some characterizations of their properties are obtained.

Numeric Multi-Objective Rule Mining Using Simulated Annealing Algorithm

Abstract as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the rule. This objective represents the accuracy of the rules extracted from the da...

Effects of Implementing the Rule of Mitigation of Damages in Medical Law

Under theenforcing the law on damage, when patients are exposed to damage and injury when acting or leaving action on health-related factors such as physicians and laboratory officials, patients must take standard action to mitigate the loss or claim. Otherwise they will lose the right to defend themselves. The most important effect of this rule is that the assignment of a claim against a loss ...