Establishment Of Fuzzy Rules Research Articles

Multilevel control chart and fuzzy set theory to monitor inpatient falls

Monitoring hospital adverse events ensures the patient's safety. This study aims to develop a multilevel control chart and to apply fuzzy set theory and warning lines concept to monitor inpatient adverse events. This study uses a u chart to monitor the adverse events relating to falls. This study also considers the severity of fall injuries to develop multilevel control charts, and applies fuzzy set theory to determine the severity of falls. The final analysis of this study is a combination of multilevel control charts, fuzzy set theory, and warning lines concept. The findings of this study show that traditional control charts do not consider the severity of fall injury, whereas multilevel control charts can make up for the deficiencies of traditional control charts through the establishment of fuzzy rules and warning lines, thus reducing the shortcomings of traditional control charts, which cause error and low sensitivity.

Aplikasi Pengambilan Keputusan dengan Metode Tsukamoto pada Penentuan Tingkat Kepuasan pelanggan

Tsukamoto method is one method of fuzzy inference system on fuzzy logic for decision making. Steps of the decision making in this method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules, fuzzy logic analysis, defuzzyfication (affirmation), as well as the conclusion and interpretation of the results. The results from this research are steps of the decision making in Tsukamoto method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules by the general form IF a is A THEN B is B, fuzzy logic analysis to get alpha in every rule, defuzzyfication (affirmation) by weighted average method, as well as the conclusion and interpretation of the results. On customers at the case, in value of 16 the quality of services, the value of 17 the quality of goods, and value of 16 a price, a value of the results is 45,29063 and the level is low satisfaction