scholarly journals Defuzzification in the process of managerial estimating the value of agricultural lands

2021 ◽  
Vol 7 (4) ◽  
pp. 62-81
Author(s):  
Tetiana Ostapchuk ◽  
Kateryna Orlova ◽  
Svitlana Biriuchenko ◽  
Andrii Dankevych ◽  
Galyna Marchuk
Keyword(s):  
Fuzzy Logic ◽  
Methodological Approach ◽  
Humus Content ◽  
Linguistic Variables ◽  
Land Resources ◽  
Agricultural Lands ◽  
Land Plot ◽  
Plot Size ◽  
Managerial Decisions ◽  
Qualitative Factors

Purpose. The main purpose of the research is to substantiate the methodological approach of defuzzification and to define its peculiarities in the process of estimating the value of agricultural lands. Methodology / approach. The research purpose included the use of a set of appropriate methods. In particular, the fuzzy logic techniques formed the basis of the research. The system approach was used in order to determine the role of land resources in the enterprise potential and the corresponding spheres of their management. The analysis and synthesis methods were used in the process of definition of impact factors of land resources value. The cartographic method was used for the needs of graphical display of humus content in the land plots of the analyzed enterprise. The generalization method was used in the process of forming conclusions. Results. The article defines the peculiarities of defuzzification in the process of estimating the value of agricultural lands. The results provided the methodological basis for considering the qualitative metrics in the process of estimation as well as for granting the numerical interpretation for linguistic variables. The corresponding methodology was overviewed at the example of land plot size. The quantitative reference limits for “small”, “medium” and “large” land plots were defined. Research results made it possible to form the sequence of stages, which are to be undertaken, in order to provide numerical values for qualitative characteristics of agricultural lands. A decision tree was built for the needs of formation of management decisions. According to the data of researched enterprise, the dependence of the value of agricultural lands (for the needs of management accounting) on the size of the land plot and the humus content was determined. Originality / scientific novelty. The article improves the methodological approach to determining the value of agricultural lands as of an element of enterprise potential based on the use of fuzzy logic techniques, which, in contrast to existing approaches, allows taking into account both quantitative and qualitative factors in the process of estimating the value of land resources for the needs of their management. Applying the respective approach increases the level of accuracy, relevance, and adequacy to market realities of the results of estimating the value of agricultural lands for the needs of their management. Practical value / implications. The results of the research provided an opportunity to improve the quality and efficiency of the process of estimating the value of agricultural lands. The corresponding process is characterized by a high level of complexity and uncertainty due to the presence of a significant number of qualitative factors influencing the value of the land resources. The approach considered in the article makes it possible to take into account the influence of relevant qualitative factors by giving them numerical certainty through the use of fuzzy logic techniques. The proposed approach will provide an opportunity to increase the accuracy and relevance of estimating the value of land resources as of an element of enterprise potential for the making of corresponding managerial decisions. The proposed methodological approach was implemented with the use of data of agricultural enterprise, which made it possible to take into account linguistic variables (land plot size and chemical properties of the soil) when forming the managerial decisions about land plots. The decision tree was also formed, which serves as a means of supporting management decisions in the process of forming the value of agricultural lands.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Applying Fuzzy Logic and Fuzzy Methods to Marketing

2012 ◽  
pp. 1056-1068
Author(s):  
Laurent Donzé ◽  
Andreas Meier
Keyword(s):  
Fuzzy Logic ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Future Research ◽  
Computing With Words ◽  
Linguistic Variables ◽  
Research Directions ◽  
Fuzzy Methods ◽  
Future Research Directions

Marketing deals with identifying and meeting the needs of customers. It is therefore both an art and a science. To bridge the gap between art and science, soft computing, or computing with words, could be an option. This chapter introduces fundamental concepts such as fuzzy sets, fuzzy logic, and computing with linguistic variables and terms. This set of fuzzy methods can be applied in marketing and customer relationship management. In the conclusion, future research directions are given for applying fuzzy logic to marketing and customer relationship management.

Computational Intelligence for Modelling and Control of Multi-Robot Systems

2011 ◽  
pp. 122-135
Author(s):  
M. Mohammadian
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Control Systems ◽  
Fuzzy Systems ◽  
Methodological Approach ◽  
Knowledge Bases ◽  
Fuzzy Logic Systems ◽  
Fuzzy Knowledge Bases ◽  
Robot Systems ◽  
Logic Systems

With increased application of fuzzy logic in complex control systems, there is a need for a structured methodological approach in the development of fuzzy logic systems. Current fuzzy logic systems are developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. In this chapter a method for development of fuzzy systems that can interact with other (fuzzy) systems is proposed. Specifically a method for designing hierarchical self-learning fuzzy logic control systems based on the integration of genetic algorithms and fuzzy logic to provide an integrated knowledge base for intelligent control of mobile robots for collision-avoidance in a common workspace. The robots are considered as point masses moving in a common work space. Genetic algorithms are employed as an adaptive method for learning the fuzzy rules of the control systems as well as learning, the mapping and interaction between fuzzy knowledge bases of different fuzzy logic systems.

scholarly journals Methodology for cadastral valuation of agricultural lands occupied by water bodies

2020 ◽  
Vol 175 ◽  
pp. 06014 ◽  
Author(s):  
Kirill Zhichkin ◽  
Vladimir Nosov ◽  
Lyudmila Zhichkina ◽  
Mira Alborova ◽  
Aleksey Kuraev
Keyword(s):  
Natural Water ◽  
Agricultural Land ◽  
Water Bodies ◽  
Added Value ◽  
Hydraulic Structures ◽  
Agricultural Lands ◽  
Land Plot ◽  
The Right ◽  
Artificial Water ◽  
Natural Water Bodies

The article considers features of cadastral valuation of agricultural lands occupied by water bodies. The research is based on natural water bodies of the Samara region water fund. A methodology for determining the cadastral value of agricultural lands occupied by artificial water bodies is proposed. The methodology links the land value with the size of the land plot, profit and such objects as dams and other hydraulic structures located within the land plot. The paper confirmed the suggestion that the owner of the land that shall be used for the construction of a pond has the right to the added value of land in the amount of return rate of contributed capital (26.28%). The cadastral value of 1 square meter of agricultural land is 3.11 rubles.

Atmospheric metal pollutants and environmental injustice: A methodological approach to environmental risk analysis using fuzzy logic and tree bark

2016 ◽  
Vol 71 ◽  
pp. 428-437 ◽  
Author(s):  
Bruno Martins Gurgatz ◽  
Regiani Carvalho-Oliveira ◽  
Daniel Canavese de Oliveira ◽  
Emerson Joucoski ◽  
Gisele Antoniaconi ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Environmental Risk ◽  
Methodological Approach ◽  
Tree Bark ◽  
Environmental Injustice ◽  
Metal Pollutants ◽  
Environmental Risk Analysis

scholarly journals EVALUATION OF CUSTOMER STATISFACTION IN INSTITUTE OF TEACHER EDUCATION DATO' RAZALI ISMAIL CAMPUS USING FUZZY LOGIC

2021 ◽  
Vol 4 (17) ◽  
pp. 28-42
Author(s):  
Mas Norbany Abu Samah ◽  
Yuslaini Yunus ◽  
Nur Ruzaini Che Mansor ◽  
Azman Jusoh ◽  
Mohd Aminudin Abu Bakar
Keyword(s):  
Fuzzy Logic ◽  
Customer Satisfaction ◽  
Fuzzy Inference ◽  
Descriptive Analysis ◽  
Educational Institutions ◽  
Linguistic Variables ◽  
Inference System ◽  
Level Of Satisfaction ◽  
Four Levels ◽  
Fuzzy Logic Analysis

Customer satisfaction is an important issue in various sectors including in educational institutions. The needs and requirements of students and lecturers as customers of an institution must be met by the management to ensure quality services are offered. The performance of an organization is measured by customer satisfaction with their needs. Customer satisfaction issues do not only occur in Malaysia but also abroad. Complaints and grievances about the facilities and services provided were the cause of this study. Therefore, this study was conducted to determine the level of satisfaction of students and lecturers on the services and facilities provided at IPG Kampus Dato’ Razali Ismail. The respondents of the study consisted of students and lecturers selected by stratified random sampling. Data were collected based on a questionnaire distributed online and involved seven dimensions. Descriptive analysis was performed using SPSS 26 for windows and then fuzzy logic analysis using Matlab R2020b for windows. Fuzzy logic uses linguistic variables given degrees of membership. A fuzzy inference system using the Fuzzy Mamdani model was used to process the data. Hence, to get the output there are four levels that need to be done namely blurring, ordering, inference and defuzzification. The findings of this study enable management to maintain existing performance and make continuous improvements over time to ensure service quality and customer satisfaction.

scholarly journals Paradigm of Financial Provision of the Agricultural Land Restoration in Ukraine

2017 ◽  
Vol 17(32) (4) ◽  
pp. 41-51
Author(s):  
Nadiya Davydenko ◽  
Natalia Wasilewska
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
The State ◽  
European Countries ◽  
Land Resources ◽  
Land Restoration ◽  
Agricultural Lands ◽  
Agrarian Sector ◽  
Fixed Assets ◽  
State Strategy

The purpose of the research was to determine the system of measures aimed at financial provision of restoration and improvement of the fertility of the agricultural lands, which are an important part of the state strategy for the development of the Ukrainian economy agrarian sector. Characteristics of land use in European countries and Ukraine were presented. The sources of financial provision of agricultural land restoration were analyzed. The measures aimed at successful restoration of fixed assets of agrarian enterprises, in particular land resources are proposed.

scholarly journals Voltage Stability Of South Sulawesi Power System Using Fuzzy Logic Method Based On The Linguistic Variable

2019 ◽  
Vol 54 (6) ◽  
Author(s):  
Sugianto ◽  
Syarifuddin Nojeng ◽  
Yustinus Upa Sombolayuk
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Voltage Stability ◽  
Stability Control ◽  
Control Measures ◽  
Short Message ◽  
Linguistic Variables ◽  
South Sulawesi ◽  
Message Service ◽  
Human Thinking

This study aims to apply a new method for controlling voltage stability in electric power systems, using new modeling with linguistic variables of cryptic logic. The method can easily carry out appropriate control measures in accordance with human thinking and acting. The Fuzzy Logic Stabilizer periodically checks the voltage in real time at each bus and maps into linguistic variables, analyzes its control decisions, then calculates how much stability control is sent to all mobile operator numbers that have been registered at the short message service center, so that appropriate control measures are carried out on the On Load Tap Changer, or On Load Voltage Regulator at each substation, according to the contents of the short message it receives. Application of fuzzy logic stabilizer in the 46 bus electricity system of South Sulawesi will increase the quality of bus voltage from an average of 0.08% to 0.5% of the nominal voltage.

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