scholarly journals Influence of Investment Projects on Dividend Policy of a Company in Conditions of Fuzzy Information

2012 ◽  
Vol 11 (1) ◽  
pp. 86-96
Author(s):  
Bartłomiej Jabłoński
Keyword(s):  
Fuzzy Logic ◽  
Dividend Policy ◽  
Fuzzy Numbers ◽  
Fuzzy Information ◽  
Investment Projects ◽  
Triangular Numbers ◽  
Central Result ◽  
A Company ◽  
Financial Result

Abstract This article describes the problem of using fuzzy logic in the forecasts of variants of the results of implemented investment projects. It also shows the possibility of using calculations with the application of fuzzy triangular numbers L-R in the variants of results: an optimistic result, a pessimistic result and the most probable result (the central result). Moreover, the article draws attention to the possibility of using fuzzy numbers to estimate fuzzy risk of a forecasted financial result of a company. In addition, the article presents how a dividend may be shaped in consideration of multiplicity of variants if dividend policy takes into account dependence on company results as well as implemented investment projects.

scholarly journals Shareholding Structure and Dividend Policy as Exemplified by the Stock-listed Industrial Companies

2015 ◽  
Vol 16 (1) ◽  
pp. 7-22
Author(s):  
Iwona Gawryś
Keyword(s):  
Dividend Policy ◽  
Listed Companies ◽  
Economic Environment ◽  
Processing Industry ◽  
Dividend Payout ◽  
Investment Projects ◽  
Industrial Companies ◽  
Economic Slowdown ◽  
A Company

AbstractThis article is aimed at evaluating the influence of the forms of controlling stock-listed companies upon the decisions being taken in regard of the distribution of profits and the payout of dividends in the unstable macro-economic environment. The form of the ownership supervision reflects the relations between shareholders and managers of the company. The conflicts resulting from the separation of ownership and management of a company concern, among others, the dividend payout. The dividend constitutes a shareholder’s reward for rendering his capital available to the company, while for a company it is a cost in the form of the capital’s reduction and the limitation of investing abilities. Whereas the macro-economic environment influences the financial standing of companies and their profits, which are then used for paying out dividends, and simultaneously defines the investment needs of companies. A hypothesis can be put forward that the economic slowdown limits the access to attractive investment projects, which results in companies being interested in the payout of relatively high dividends. This hypothesis is verifiable on the ground of the decisions taken in regard of the distribution of the profit made by the stock-listed companies of the processing industry between 2007 and 2012.

scholarly journals Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 474 ◽  
Author(s):  
Lazaros Moysis ◽  
Christos Volos ◽  
Sajad Jafari ◽  
Jesus M. Munoz-Pacheco ◽  
Jacques Kengne ◽  
...  
Keyword(s):  
Lyapunov Exponent ◽  
Image Encryption ◽  
Fuzzy Numbers ◽  
Statistical Tests ◽  
Logistic Map ◽  
Simple Rule ◽  
Pseudorandom Number ◽  
Bifurcation Diagrams ◽  
Triangular Numbers ◽  
Pseudorandom Number Generation

A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption.

scholarly journals Do Callable Convertibles Support The Investment Process Of A Company? An Analysis Of The World Market Of Hybrid Debt

2017 ◽  
Vol 20 (2) ◽  
pp. 5-19
Author(s):  
Damian Kaźmierczak
Keyword(s):  
United States ◽  
The United States ◽  
World Market ◽  
Convertible Bonds ◽  
Investment Projects ◽  
Service Companies ◽  
The World ◽  
Investment Process ◽  
A Company

Using a sample of 1,705 convertible bonds issued by manufacturing and service companies from the United States (1,138 issues); Europe (270); and Asia (297) between 2004 and 2014 this paper investigates the role of callable convertibles in the corporate investment process. This research shows first that callable convertibles are used to finance investment projects particularly by American firms which may exercise new investment options to improve poor financial performance. Secondly, the same strategy may be followed by European companies, but they seem not to carry out investments on as large a scale as American firms. Thirdly, the research results do not provide evidence that Asian enterprises use callable convertibles for investment purposes: they likely use these instruments for different reasons.

scholarly journals Penerapan metode fuzzy sugeno untuk prediksi persediaan bahan baku

2019 ◽  
Vol 9 (2) ◽  
pp. 12-20
Author(s):  
Julio Warmansyah ◽  
Dida Hilpiah
Keyword(s):  
Fuzzy Logic ◽  
Raw Materials ◽  
Mean Absolute Percentage Error ◽  
Raw Material ◽  
Percentage Error ◽  
Human Power ◽  
Absolute Percentage Error ◽  
Input Variables ◽  
A Company

 PT. Cahaya Boxindo Prasetya is a company engaged in the manufacture of carton boxes or boxes. The company's activities also include cutting and printing services using machinery and human power. The problem faced in this company is the difficulty of predicting the amount of inventory of raw materials that will be  included in the production. The remaining raw materials for production will be used as the final stock to get the minimum, the goal is to reduce excess stock Overcoming this problem, fuzzy logic is used to predict raw material inventories by focusing on the final stock. In this study using Fuzzy Sugeno, with three input variables, namely: initial inventory, purchase, production, while the output is the final stock. Determination of prediction results using defuzzification using the average concept of MAPE (Mean Absolute Percentage Error). The results obtained, using the Fuzzy Sugeno method can predict the inventory of raw materials with a MAPE value of 38%. 

scholarly journals Implementasi Fuzzy Tsukamoto Dalam Menentukan Upah Gaji Karyawan Perbulan

2020 ◽  
Vol 1 (2) ◽  
pp. 105-110
Author(s):  
Siti Maysaroh Saragih ◽  
Ayu Lestari ◽  
Mahadir Soleh Hutasuhut
Keyword(s):  
Fuzzy Logic ◽  
Knowledge Base ◽  
Fuzzy Inference ◽  
A Company ◽  
Central Statistics

In a company, salary is a salary for employees who have been working for a month. However, in order to provide fair salary to all employees, the company must determine the criteria for providing salary. By using fuzzy logic, wages can be determined by going through the following stages: Fuzzification, Formation of the knowledge base, Fuzzy Inference, and Defuzzification. One of the fuzzy logic methods that can be used is the Tsukamoto method, where this method has an output in the form of firm values. To determine the salary, the data is collected from the Central Statistics Agency website in accordance with the criteria to be examined. With this research, employers can use the calculations from this research to determine salary salaries for their employees quickly, well, and precisely. So that the problem of determining the wages of their employees' salaries can be resolved properly.

scholarly journals Investigation on Agricultural Land Selection using Hybrid Fuzzy Logic System

2020 ◽  
Vol 21 (4) ◽  
pp. 569-582
Author(s):  
Sudhakar Sengan ◽  
Vijayakumar V ◽  
Sujatha Krishnamoorthy ◽  
Gunasekaran S ◽  
Sathiya Kumar C ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Numbers ◽  
Agricultural Land ◽  
Test Results ◽  
Analytic Hierarchy ◽  
Fuzzy Degree ◽  
Hierarchy Process ◽  
Inherent Ambiguity ◽  
Different Levels ◽  
Logic System

For maintaining the horticultural generation, Land Selection Investigation (LSI) is essential. Though incorporates estimation of the criteria assortment from the soil, territory to financial, market, and foundation, and these components are considerably enigmatically characterized and described by their inherent ambiguity. Multi-criteria basic leadership systems like positioning, rating, and so on are utilized for reasonableness examination. Master learning and judgment by leaders at different levels is integrated into this process. In the field of farming sciences, the Fuzzy Logic (FL) strategy has been effectively used to take care of numerous issues. Fuzzy with AHP is a Hybrid Fuzzy Logic (HFL) methodology. The policies Analytic Hierarchy Process(AHP), Fuzzy Numbers, Fuzzy Degree Investigation, Alpha Cut, and Lambda capacity are associated with it. As expressed, the procedure of necessary leadership includes a scope of criteria and a considerable measure of master learning and decisions. The components result from impacts extraordinarily. The capacity of three methods to demonstrate the affectability of the necessary leadership procedure is researched. Alpha cut and lambda esteem give and encourage considerable affectability investigation. All techniques are actualized to examine the reasonableness of the crop in the Indian nation. Test results when performed on various datasets, demonstrate that the proposed procedure removes more highlights just as gives more exactness when  contrasted with existing techniques.

scholarly journals Análise dos Riscos em Projetos: Uma Aplicação do Método de Monte Carlo em uma Empresa do Setor Moveleiro

2018 ◽  
Vol 10 (2) ◽  
pp. 332-357
Author(s):  
Fernando Rodrigues de Amorim ◽  
Pedro Henrique Camargo de Abreu ◽  
Marco Tulio Ospina Patino ◽  
Leonardo Augusto Amaral Terra
Keyword(s):  
Monte Carlo ◽  
Investment Project ◽  
Modern Society ◽  
Exploratory Research ◽  
Investment Projects ◽  
A Value ◽  
The Monte Carlo Method ◽  
Monte Carlo Em ◽  
A Company

Globalization is a phenomenon that is present in modern society and, with its expansion, it is essential that companies can meet the constant demands of the market, but for this, it is necessary to make the best decisions and deal with various adversities related to the economy, competition, management, among others. The success of investment projects is determined by a set of techniques that must be applied so as not to compromise the viability of the project. When this viability is surrounded by uncertainties, a useful alternative to knowing the risks is the use of the Monte Carlo method. The present work aims to address the risk factors in a company of the furniture sector, using the Monte Carlo simulation to analyze the viability of this project. The methodology adopted was developed from a case study, through an exploratory research. The results showed that the investment project is viable, estimating a return between the 4th and 5th year of the project, in addition, the balance after the 10 years of investment would be around R$ 4,128,211.63, a value that represents 161.25% of the initial investment.

scholarly journals Fuzzy Logic Controller

2019 ◽  
Vol 3 (3) ◽  
pp. 16-29
Author(s):  
Muhammad Saqlain ◽  
Kashaf Naz ◽  
Kashf Gaffar ◽  
Muhammad Naveed Jafar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Numbers ◽  
Research Paper ◽  
Inference Process ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Water Ph ◽  
The Impact

In this research paper, the impact of water pH on detergent was measured by constructing a Fuzzy Logic Controller (FLC) based on Intuitionistic Fuzzy Numbers (IFNs) by incorporating three linguistic inputs and one output as taken by Saeed. M. et al. [1]. The inference process was carried out using MATLAB fuzzy logic toolbox and the results were compared with FLC based on fuzzy numbers. The objective of the study was the comparison of FLC based on intuitionistic and fuzzy numbers. The results showed that FLC based on IFNs is approximately the same but has more precise values. So, IFNs based FLC can be used in the Instinctive Laundry System. 

Semantic / Fuzzy Information Retrieval System

2017 ◽  
Vol 12 (1) ◽  
pp. 37-56
Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Fuzzy Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

Sign in / Sign up

Export Citation Format

Share Document