The design of analog circuits is a complex and repetitive process aimed at finding the best variant. It characterized by uncertainty multivariate approaches. designer has to make different choices satisfy predefined specification with required parameters. This paper proposes method for facilitating amplifiers based on m-polar fuzzy graphs theory deep learning. M-polar are used because their fle...

A prototype design tool-chain (VARDA) for the ARD hierarchical rule design method is presented in the paper. It is implemented in the Unix environment using Prolog and Graphviz for design visualization. 1 Rule Design with ARD+ The HeKatE project (hekate.ia.agh.edu.pl) aims at providing design methods and tools that support a rule-based systems design process. Currently HeKatE supports a concept...

Multivariate reward processes with reward functions of constant rates, defined on a semi-Markov process, first were studied by Masuda and Sumita, 1991. Reward processes with nonlinear reward functions were introduced in Soltani, 1996. In this work we study a multivariate process , , where are reward processes with nonlinear reward functions respectively. The Laplace transform of the covar...

Recent literature reports the growing interests in data analysis using Formal Concept Analysis (FCA), in which data is represented in the form of object and attribute relations. FCA analyzes and then subsequently visualizes the data based on duality called Galois connection. Attribute exploration is a knowledge acquisition process in FCA, which interactively determines the implications holding ...

Numerical attribute management is a usual preprocessing task in data mining. Most of the algorithms require the discretization of numerical attributes by splitting the continuous range of values into intervals. This task is critical in association rule induction since it has a significant influence in the quality of the induced rules. We have proposed a multivariate algorithm whose efficiency a...

User attribute classification aims to identify users’ attributes (e.g., gender, age and profession) by leveraging user generated content. However, conventional approaches to user attribute classification focus on single attribute classification involving only one user attribute, which completely ignores the relationship among various user attributes. In this paper, we confront a novel scenario ...

The split attribute in the decision tree algorithm, especially C4.5, has an important influence producing a performance that high predictive performance. This study aims to perform C4.5 algorithm using value of termination coefficient (R2/R Square) which is combined with aim increasing model produced by itself. data used this research are public datasets and private datasets. combines developed...