APPLICATION OF THE MATHEMATICAL APPARATUS FUZZY LOGIC IN THEMATIC DATA PROCESSING SPACE HYPER SPECTRAL SHOOTING

Author(s):  
V.V. Mironov ◽  
◽  
S.V. Truhanov ◽  
Author(s):  
Farshad Hakimpour ◽  
Boanerges Aleman-Meza ◽  
Matthew Perry ◽  
Amit Sheth

2019 ◽  
Vol 11 (9) ◽  
pp. 2544 ◽  
Author(s):  
Sayabek Ziyadin ◽  
Elena Streltsova ◽  
Alex Borodin ◽  
Nataliya Kiseleva ◽  
Irina Yakovenko ◽  
...  

This article is devoted to the creation of intelligent modelling tools for decision support in the evaluation of intellectual projects submitted for financing, as based on qualitatively defined characteristics. The economic and mathematical models that form the basis of the toolkit are constructed using the mathematical apparatus of fuzzy logic, which allows for the description of poorly structured knowledge of specialists, as well as their application in solving questions about the extent of the impact of the proposed projects on the environment. The authors classify investment projects according to the degree of impact on the environment, the environmental criteria required by the investor for the evaluation of investment projects, and the formal formulation of the problem of evaluation of investment projects when taking into account the environmental factor. The toolkit was created based on the concept of intellectualization, where economic and mathematical models for the evaluation of investment projects are programmatically implemented via the tools and functions available in the MATLAB package.


Author(s):  
N. V. Apatova ◽  
A. I. Gaponov

In the modern pedagogical literature a large number of works are devoted to the issue of evaluating students mastered knowledge. Ensuring the quality of diagnostics of the level of knowledge acquisition by students of educational organizations is based on an adequate, reasonable, acceptable and accessible mathematical apparatus. The adequacy and validity of the mathematical apparatus allows you to significantly reduce the influence of the subjective factor on the assessment of knowledge acquisition and minimize objections to its application. On the other hand, acceptability makes it possible to use a specific situation under consideration as a diagnosis, taking into account only its inherent nuances. Accessibility also means the ability to use the proposed mathematical algorithm by teachers who have the necessary minimum of elements of the proposed mathematical apparatus. The article considers the possibility of determining the level of development of the studied topic by students on the basis of five factors of knowledge acquisition: 1. Understanding; 2. Recognition; 3.Reproduction; 4. Application; 5. Creativity. In this case, the calculations are performed by using a simplified method of hierarchy analysis and fuzzy set theory in order to reduce the subjectivity inherent in the rating system of evaluation, the use of elements of the hierarchy analysis method and fuzzy logic is proposed. The fuzzy set theory algorithm is implemented using the fuzzy Logic Toolbox application package of the MATLAB software environment. Using the method of hierarchy analysis is to aggregate scores based on the application of a matrix of paired comparisons. The synthesis of these methods allows us to obtain a fairly effective comparative assessment of students development of educational material. On the basis of the considered methodology for evaluating students assimilation of educational material, it is suggested that it is possible to reduce the influence of a subjective factor to a minimum.


2021 ◽  
pp. 36-41
Author(s):  
V. S. Kokhanova

In this article, the author gives an example of using the apparatus of fuzzy logic in assessing the effectiveness of digitalization of an enterprise, specifies indicators that can be used as criteria for building a system for assessing the effectiveness of digitalization, as well as provides an overview of existing developments. Within the framework of the article, the study outlines the directions of modification of classical estimation methods that are possible using the apparatus of fuzzy logic. The paper substantiates the choice of a universal fuzzy logic tool as a mathematical apparatus for forming an assessment: a system of fuzzy logical conclusions – standard five-level [0; 1]-classifiers. The possibility of fuzzy classification of properties, as well as qualimetry based on the aggregation of hierarchies of factors, will make it possible to assess the level of efficiency of enterprise digitalization by the degree of success. 


2000 ◽  
Author(s):  
Winfried Halle ◽  
Holger Venus ◽  
Wolfgang Skrbek

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Yulia Shichkina ◽  
Alexander Koblov

This article presents the results of research on the acceleration of data processing in the construction routing in dynamic DTN, realized through the devices established in moving objects and connected by means of Wi-Fi. The routes are constructed based on the prehistory of the movement of objects, which is stored in the database in the csv format. This database has a large volume and contains unnecessary and incorrect information. The article shows the possibility of speeding up the process of constructing routes using data precleaning. Reducing data volume is proposed by constructing an enlarged grid on the object movement map. This article also demonstrates the use of fuzzy logic and graph theory for constructing routes.


2018 ◽  
Author(s):  
Akim Manaor Hara Pardede

Handling the distribution of the amount of teachingcredits at the faculty is one thing that deserves to be more attention by the academic part in STMIK KAPUTAMA, thus reducing the risk of not optimal control of the implementation of learning and teaching. The distribution of the amount of teaching credits in the faculty using FuzzyLogic Inference System Mamdani Model to process the data so that it can producemore informed decisions, quickly and efficiently. By using Mamdani Fuzzy Logic reasoning in data processing input and output, and implemented using MATLAB Toolbox R2010a.


2019 ◽  
Vol 3 (1) ◽  
pp. 150
Author(s):  
Fadhillah Azmi ◽  
William William ◽  
Kevin Kristanto Salim ◽  
Tommy Tiara Hartanto ◽  
Felix Tham

<span>Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the attention of cleaning officers to dispose of trash. To dispose of garbage, the clerk needs to shift the open and close trash button so that the lid will open. The author hopes that this smart trash can can increase public awareness to dispose of garbage in its place. The results of study show that PIR sensors work by well in detecting the presence of humans and ultrasonic sensors in detecting the height of garbage are not accurate, so that if the trash if the trash can is empty, sometimes the garbage is minus, whereasif the garbage is &lt; 3.5 cm, the sensor fails detect it.</span>


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