|Title||Design logical linguistic models to calculate necessity in trucks during agricultural cargoes logistics using fuzzy logic|
Ivanov, Vitalii Oleksandrovych
harvesting and transport complex
збирання та транспортний комплекс
|Date of Issue||2020|
|Publisher||4S go, sro|
|License||Creative Commons Attribution - NonCommercial 4.0 International|
|Citation||Design logical linguistic models to calculate necessity in trucks during agricultural cargoes logistics using fuzzy logic [Електронний ресурс] / I. Medvediev, D. Muzylyov, N. Shramenko et al. // Acta logistica. — 2020. — Vol. 7, No. 3. — P. 155-166. — DOI:10.22306/al.v7i3.165|
The study is aimed to develop the logic-linguistic models to design a number of rules for the correct calculation
of the vehicles needed, taking into account the technical, technological, and weather and climate conditions of the harvesting and transport complex. The article has shown that the construction of the design of logic-linguistic models was not performed earlier to solve the problem of the agro-industrial production transportation support, considering the opportunity of forecasting size of influences of the weather and climatic factors on improving the productivity of the harvesting and transport complex elements. It is determined that the experience of applying the fuzzy logic theory in many practice situations confirms the universality of the mathematical apparatus. This toolkit provides better results than classical approaches (set theory, probability theory). This aspect indicates the expediency of the chosen mathematical apparatus for solving the tasks. The article using fuzzy logic explores the relationship and interdependence of technical, technological factors and weather and climate conditions for modeling transport support in harvesting and transport complex. Fuzzification of the parameters is carried out, based on the compiled equations using trapezoidal and triangular membership functions. The set of rules necessary for the creation of logical-linguistic models (LLM) for each factor has been arranged. LLMs were developed for dependent parameters, which will allow further modeling of the transport support of the harvesting and transport complex in the Fuzzy Logic Toolbox application of the MATLAB package.
|Appears in Collections:||
Наукові видання (ТеСЕТ)
Hong Kong SAR China
|Medvediev_Muzylyov_Shramenko_Nosko_Eliseyev_Ivanov_III_2020_02.pdf||237,69 kB||Adobe PDF||30950|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.