Record linkage is a tool used to gather information and data from different sources. It is used in activities related to government, such as e-government and the production of register-based data. This method compares the strings in the databases and there are different methods for record linkage, such as deterministic and probabilistic assumption. This paper presents a proposed expert System for record linkage of data received from multiple databases. The System is designed to save time and reduce errors in the process of aggregating data. The inputs for this System include several linked fields, thresholds, and Metric methods, which are explained along with the Evaluation of the used method. To validate the System, inputs from two databases and seven information fields, comprising 100,000 simulated records, were used. The results reveal a higher accuracy of possible record linkage compared to deterministic records. Furthermore, the highest linkage was achieved using five fields with varying thresholds. In assessing the various Metric methods, it was found that Metric methods with less than 80% accuracy and the Winkler Metric method with over 86% accuracy were utilized. These findings demonstrate that the implementation of the proposed automated System significantly saves time and enhances the flexibility of selection methods.

Record linkage is a tool used to gather information and data from different sources. It is used in activities related to government, such as e-government and the production of register-based data. This method compares the strings in the databases, and there are different methods for record linkage, such as deterministic and probabilistic assumptions. This paper presents a proposed expert System for record linkage of data received from multiple databases. The System is designed to save time and reduce errors in the process of aggregating data. The inputs for this System include several linked fields, thresholds, and Metric methods, which are explained along with the Evaluation of the used method. To validate the System, inputs from two databases and seven information fields, comprising 100, 000 simulated records, were used. The results reveal a higher accuracy of possible record linkage compared to deterministic records. Furthermore, the highest linkage was achieved using five fields with varying thresholds. In assessing the various Metric methods, it was found that Metric methods with less than 80% accuracy and the Winkler Metric method with over 86% accuracy were utilized. These findings demonstrate that the implementation of the proposed automated System significantly saves time and enhances the flexibility of selection methods.

In this paper, we introduce the cigar- shaped Metric . Such Metric can be obtained by the Schwarzschild black hole. Here, we write the Dirac equation in the corresponding background. We take some change of variable for the above equation and re- write the mentioned equation similar to the hypergeoMetric equation. We take advantage from the known polynomial( hypergeoMetric) and factorized the Dirac equation in cigar- shaped background in terms of first order equations and achieve the wave function. Also, this first order equations lead us to use super symmetry(SUSY) approach and obtain the energy spectrum. SUSY quantum mechanics can be used to solve ordinary differential equation. Using this method, we obtained the energy spectrum of the Fermions on the aforementioned background. Then, by computing the partition function, we obtained the statistical quantities of the System. Finally, we take information from thermodynamic and investigate the thermal properties of the System.

For a class of fuzzy Metric spaces (in the sense of George and Veeramani) with an H-type t-norm, we present a method to construct a Metric on a fuzzy Metric space. The induced Metric space shares many important properties with the given fuzzy Metric space. Specifically, they generate the same topology, and have the same completeness. Our results can give the constructive proofs to some problems for fuzzy Metric spaces in the literature, which are shown by examples in this paper.