fuzzy logic

Identification of Factors by Priority Influence on the Quality of the Book Layout Process Stages

The article analyzes the factors that determine the quality of the stages of the book layout process within the structure of prepress preparation. Layout is considered as a multilevel technological system within which the functional, compositional, and aesthetic integrity of a publication is formed, taking into account the multifactorial nature and structural interdependence of parameters.

Model for Evaluating the Quality of Interface Prototyping

This article is devoted to the development and substantiation of a comprehensive model for evaluating the quality of interface prototyping in software systems. The relevance of the study is determined by the increasing complexity of modern interfaces and the need to make well-founded design decisions prior to the software implementation stage. The paper addresses the problem of formalizing the evaluation of prototype quality while accounting for the multidimensional nature of evaluation criteria and the significant proportion of subjective qualitative characteristics.

Data-Driven Detection of Wheel Imbalance Using Accelerometer Signals and Fuzzy Logic

This paper presents an experimental study of imbalance detection in a rotating bicycle wheel using vibration measurements from a tri-axial accelerometer. A laboratory test bench, in which a bicycle wheel equipped with an in-wheel motor has been mounted on a stand and instrumented with an accelerometer for real-time vibration monitoring, has been developed. Experiments have been conducted under balanced conditions and under controlled imbalance introduced by adding external mass to the wheel rim. Acceleration signals have been collected and analyzed in time and frequency domains.

Using Fuzzy Logic in the Research of the Data Visualization Process in Infographics

Data visualization in infographics is a rather interesting and yet little-studied process that requires comprehensive research. In the study, an analysis of the factors identified by an expert survey and divided by importance, which affect the visualization of data in infographics, is carried out. The analytic hierarchy process and the ranking method were used for the research. These methods show good calculation results when studying processes in which factors cannot be described using mathematical data.

Fuzzy expert model to assess the soil fertility for soybean production in Madhya Pradesh

Fuzzy expert model to assess the soil fertility for soyabean production in Madhya Pradesh India is an agricultural country.  Around 70 percent of the country's population are farmers.  Farmers are the backbone of the country's economy.  In this paper, we have developed a fuzzy logic-based expert model which will help suggest to the farmers the appropriate quantity and ratio of nutrients required by the soil for the proper growth of the soyabean crop in Madhya Pradesh.  This fuzzy model can assist farmers in determining the status of available pH values, electric conduct

Methods of Semantic Analysis in Annotated Generalization of Text Documents

The article is devoted to the use of semantic analysis in the generalization of text documents. The analysis of features of the most widespread methods of generalization of text documents and an estimation of quality of results of an estimation is carried out. Features of the improved method of annotative generalization of text documents, which uses the principles of hidden semantic analysis and elements of fuzzy logic to identify semantically important sentences, are presented.

Application of a Fuzzy Particle Filter to Observe a Dynamical System States in Real Time

One of the key problems in the implementation of closed-loop control systems is to measure all states of a dynamic system, especially, when there are severe environmental conditions. Consequently, the use of certain types of sensors is impossible for technical or economic reasons. Also, in electromechanical systems, there are a lot of values that cannot be directly measured by physical sensors. Thus, mathematical algorithms named as observers and estimators are in use to calculate the states of the dynamic system utilizing math model and available set of sensors.

A novel computation for predicting time series using fuzzy logical distance connectivity function and visibility graph theory

The visibility graph is a set of locations that lie in a line that can be interpreted as a graph-theoretical representation of a time series, while the fuzzy graph speaks about the connection between the lines by accurately demonstrating the level of the connection between the objects of a given set.  Many graphs do not show proper previous values.  Even knowing the previous values of times series,  prediction of the future values will not be accurate.  Therefore, to find the real values exactly, this paper introduces the Visibility graph by time series values $(x_{t},y

An estimation accuracy of state observers under uncertain initial conditions

A fast convergence speed of an observer helps improve the capability to track the states of a system for an arbitrary divergence between a real and an estimated initial conditions.  This property of the observers is significantly useful if a system has fast dynamics and its states change rapidly.  Thus, the convergence time is one of the main performance criteria of linear and non-linear state observers.

Neuro-fuzzy Genetic Algorithm of Optimization of Rehabilitation Therapy Plans

Proposed method of optimization of rehabilitation therapy plans using a genetic algorithm. For evaluation of alternatives generated during the optimization process, a fuzzy algorithm with neuro defazification – T-Controller, was used. Developed method tested on samples based on real plans of rehabilitation therapy.