Application of User Interface Fuzzy Logic Toolbox  for Quality Control of Products and Services

Hrihorenko, I.; Drozdova, Tatyana; Hrihorenko, S.; Tverytnykova, Elena

doi:10.20998/2522-9052.2019.4.18

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…To carry out such a transition, the function of the belongingness of the values of the linguistic variable to the fuzzy set A is necessary. The process of fuzzification consists of the early collection of expert information and its processing to build the functions belonging to the input values [19]. The purpose of fuzzification is to establish correspondence between the specific value of a separate input variable of the system of fuzzy logical inference and the value of the membership function of the corresponding term of the input linguistic variable.…”

Section: Methods Of the Studymentioning

confidence: 99%

Qualitative Assessment of Ecosystem Services for Recreation and Tourism in the Spatio-Temporal Geosystem

Boyko¹,

Руда²,

Paslavskyi³

2023

MEM

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The paper proposes a comprehensive method of qualitative evaluation of services provided by various providers, which are expressed by characteristics that avoid a quantitative representation. The research foresees the application of the well-known method of deployment of quality functions, the development of which consists of the possibility of determining the coefficients of the weighting of technical characteristics of cultural ecosystem services for recreation and tourism of the spatiotemporal geosystem. To take into account the priority of consumer requirements, the expert method of pairwise comparisons was introduced, which was modified so that possible conclusions could be considered, in particular, the evaluation of the equivalence of characteristics was applied. To obtain the degree of correlation between the characteristics determined by experts based on consumer requirements and the technical characteristics of cultural ecosystem services for recreation and tourism, it is proposed to utilize the fuzzy logic method. Since both the presence of correlations links and the degree of correlation between consumer requirements and technical characteristics are the result of the interaction of a set of various factors, among which a significant number may be random, based on the central limit theorem, as well as the experience of applying correlation coefficients in other areas, a conclusion is drawn, that the probability distribution function of correlation degrees is properly described by a Gaussian curve. The value of the technical characteristics of the specified ecosystem services for three spatiotemporal geosystems was also obtained with the help of the fuzzy logic method.

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Section: Methods Of the Studymentioning

confidence: 99%

Qualitative Assessment of Ecosystem Services for Recreation and Tourism in the Spatio-Temporal Geosystem

Boyko¹,

Руда²,

Paslavskyi³

2023

MEM

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“…Використання нечіткої логіки для аналізу та дослідження технологічних процесів розглянуто у роботах провідних світових вчених [3 -5]. У роботах [6,7] запропоновано використання нечіткої логіки для контролю якості товарів та послуг. Використаємо також систему fuzzy-logic для визначення впливу параметрів водного середовища на якість води у акваріумі, що є частиною штучної екосистеми.…”

Section: вступunclassified

Development and research of the parameters control system of the artificial ecosystem environment by the fuzzy-logic system

Hryhorenko¹,

Kondrashov²,

Hryhorenko³

2021

A.I.S.

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The paper considers the solution of scientific and practical problem of development and research of control system of parameters of environment of artificial ecosystem, creation of structural and basic electric scheme of system, drawing up of algorithm of its work. The study consists of statistical processing of the results of direct repeated measurements of soluble oxygen level, pH, temperature in the aquarium of the artificial ecosystem, analysis of errors and total standard uncertainty of measurement results, construction of a system with fuzzy logic to determine the impact of aquatic parameters on aquarium water quality. The system makes it possible to measure illuminance up to 45,000 lux, air temperature in the range from 12 to 42 0C, water temperature in the range from 15 to 28 0C, pH level from 5 to 9, dissolved oxygen level from 5 to 10 mg / l, has a proximity sensor , has the ability to turn on, if necessary, heating, water aeration, additional light sources. The measurement error on each of the channels does not exceed 2.5%. The need to create a control system arose due to the fact that there is a need to ensure the natural development of plants and fish in an artificial ecosystem that mimics the environment as close as possible to the natural one. In order for the ecosystem to perform its functions, it is necessary to timely control these parameters and respond quickly to the parameters exceeding the critical values. This task can be accomplished only by creating a control system. In order to bring people closer to the wildlife of exotic countries of the world, you can create corners of wildlife at school, enterprise, institution. An artificial ecosystem, which is a clear and versatile example of wildlife, will help students in the formation of a new culture of relationships with nature, the environment, and allow workers to relax morally by observing wildlife. Such a fruitful rest affects the recovery of people. The artificial ecosystem helps to involve children with talent in research work, in designing projects, performing works related to creativity.

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“…Most often everyone uses the following methods: Mamdani, Tsukamoto, Sugeno, Larsen. The main analytical relations describing the functioning of the Mamdani algorithm, presented in [6]. In works [7 -9] the possibilities of using the Mamdani algorithm are presented.…”

Section: Fig 3 Steam Turbine Bearing Insertionmentioning

confidence: 99%

Substantiation of the Choice of Methods of Non-Destructive Testing of Elements of Energy Equipment Using a Fuzzy Logic Apparatus

Hryhorenko

Ovcharenko

2020

A.I.S.

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The paper illustrates the solution of the problem of choosing methods of quality control of manufacturing parts and assemblies of power equipment using a fuzzy logic device. The main methods of non-destructive testing for the detection of surface and internal defects are considered, as well as the main indicators of quality of metal products. The types of metal defects and welded joints are inspected. The description of the equipment and means of control for detection of defects is executed. The sequence and methods of quality control by ultrasonic, capillary and magnetic powder methods of control are described in detail. The results of quality control of parts during production and during their operation are obtained. The analysis of the revealed defects is carried out. An example of using an integrated approach to control is given. The obtained results of control of the percentage of coincidence of detection of defects on the product are analyzed. Comprehensive quality control was performed by visual, ultrasonic, capillary and magnetic powder methods of nondestructive testing to determine the percentage of coincidences of defects. By creating a heuristic analyzer based on the interface of the fuzzy logic system Fuzzy Logic Toolbox of the Matlab program, an example of determining a combination of non-destructive testing methods for quality control of a steam turbine bearing liner is considered. Computer simulation according to the Mamdani algorithm is carried out, which consists of fazzification with determination of ranges of change of input values for each example, task of distribution functions for each input parameter; calculation of rules based on the adequacy of the model; defuzzification with the transition from linguistic terms to quantitative assessment and graphical construction of the response surface. The simulation made it possible to determine the optimal combination of nondestructive testing methods, which provides the highest quality of defect detection in the steam turbine bearing liner.

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Application of User Interface Fuzzy Logic Toolbox for Quality Control of Products and Services

Cited by 4 publications

References 9 publications

Qualitative Assessment of Ecosystem Services for Recreation and Tourism in the Spatio-Temporal Geosystem

Qualitative Assessment of Ecosystem Services for Recreation and Tourism in the Spatio-Temporal Geosystem

Development and research of the parameters control system of the artificial ecosystem environment by the fuzzy-logic system

Substantiation of the Choice of Methods of Non-Destructive Testing of Elements of Energy Equipment Using a Fuzzy Logic Apparatus

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