scholarly journals Fuzzy Logic in Financial Management

10.5772/35574 ◽  
2012 ◽  
Author(s):  
Tomasz Korol
Keyword(s):  
Fuzzy Logic ◽  
Financial Management

scholarly journals Fuzzy Logic Analysis of the Build, Capacity Build and Transfer (B-CB-T) Modality for Urban Water Supply Service Delivery in Ethiopia

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 979 ◽  
Author(s):  
Samuel Godfrey ◽  
Getachew Asmare ◽  
Tamene Gossa ◽  
Michele Paba
Keyword(s):  
Fuzzy Logic ◽  
Water Supply ◽  
Financial Management ◽  
Urban Water ◽  
Urban Water Supply ◽  
Rapid Urbanization ◽  
Appropriate Behavior ◽  
Contractual Arrangements ◽  
And Performance ◽  
Fuzzy Logic Analysis

Rapid urbanization in Ethiopia is resulting in the need for alternative sustainable service models for urban water supply. Contractual arrangements to improve the functionality of urban water services in Ethiopia have included build, operate and transfer (BOT), design, build and operate (DBO), performance-based contracts (PBC) and utility development. UNICEF undertook a review of these modalities and concluded that a modified version of the BOT modality was required to both incentivize private sector engagement in urban water supply and to enhance public sector utilities. This paper describes the contractual modality developed to achieve this aim, namely an Ethiopian build, capacity build and transfer (B-CB-T) modality. This paper tests the applicability of the B-CB-T model using fuzzy logic statistical analysis and concludes that of the four tested variables (internal accountability, external accountability, operation and maintenance and financial management), the most statistically significant was the clear mandate to address complaints and maintain a positive relationship with the clients (users). This paper concludes that the B-CB-T is an effective contracting modality that should be accompanied by appropriate behavior change and social mobilization outreach to maximize tariff, billing, extension and performance of the infrastructure that is administered within the B-CB-T arrangement.

scholarly journals Behavioural Aspects of the Financial Decision-Making

Organizacija ◽  
2019 ◽  
Vol 52 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Katarina Valaskova ◽  
Viera Bartosova ◽  
Pavol Kubala
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Financial Management ◽  
Decision Making Process ◽  
Linguistic Variables ◽  
Behavioural Finance ◽  
Financial Decision Making ◽  
Economic Decision Making ◽  
Financial Decision ◽  
Behavioural Aspects

Abstract Background and Purpose: Behavioural finance is a relatively new, but rapidly evolving field that provides explanations of an economic decision-making by cognitive psychology, conventional economic and financial theory. Behavioural finance searches the influence of psychology on the behaviour of financial practitioners and the subsequent effects on the financial markets. The purpose of the paper is the research on behavioural aspects of financial decision-making as they help explain why and how markets might be inefficient. Design/Methodology/Approach: Fuzzy logic is an excellent tool for working with linguistic variables that are often found when working with behavioural data. Thus, we analyse the financial decision-making process from the perspective of behavioural finance aimed at better understanding of the decision-making process of investors applying the principles of fuzzy logic to solve various financial problems. Results: The results of the study indicate that fuzzy logic is applicable when solving problems of financial management and financial decision-making problems. The urgency of the fuzzy logic application for managerial and financial decisions should be emphasized. Research in this area indicates that in some cases, as in the case of behavioural financing, the use of fuzzy logic is far more suitable than the use of other methods (Peters, Aguiar and Sales). Conclusion: The novelty of the paper is to extend the application of fuzzy sets in the area of financial decision-making. The paper demonstrates that despite the fact, that fuzzy logic is currently used mainly in technical directions, it is applicable also in financial management, especially, in cases where it is necessary to consider the influence of human and the occurrence of linguistic variables.

Financial Management

2010 ◽  
Vol 44 (8) ◽  
pp. 55
Author(s):  
LEE SAVIO BEERS
Keyword(s):  
Financial Management

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic

Continuous Estimation of CO2 Production during Exercise

1997 ◽  
Vol 36 (04/05) ◽  
pp. 368-371
Author(s):  
R. Soma ◽  
Y. Yamamoto
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Infusion Rate ◽  
Feedback System ◽  
Whole Body ◽  
Co2 Production ◽  
Cycle Exercise ◽  
Continuous Estimation ◽  
Breath Measurement ◽  
13Co2 Enrichment

Abstract.A new method was developed for continuous isotopic estimation of human whole body CO2 rate of appearance (Ra) during non-steady state exercise. The technique consisted of a breath-by-breath measurement of 13CO2 enrichment (E) and a real-time fuzzy logic feedback system which controlled NaH13CO3 infusion rate to achieve an isotopic steady state. Ra was estimated from the isotope infusion rate and body 13CO2 enrichment which was equal to E at the isotopic steady state. During a non-steady state incremental cycle exercise (5 w/min or 10 w/min), NaH13CO3 infusion rate was successfully increased by the action of feedback controller so as to keep E constant.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

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.

PENGARUH TRANSPARANSI PENGELOLAAN KEUANGAN DANA DESA DAN PEMBERDAYAAN MASYARAKAT TERHADAP KESEJAHTERAAN MASYARAKAT DESA SIDOHARJO

2020 ◽  
Vol 28 (1) ◽  
pp. 35-50
Author(s):  
Dewi Kusuma Wardani ◽  
Ratih Ranika Putri Utami
Keyword(s):  
Financial Management ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Community Empowerment ◽  
Primary Data ◽  
Community Members ◽  
The People ◽  
Quantitative Descriptive ◽  
Positive Effect

This study aims to determine the effect of transparency in financial management of village funds and community empowerment on community welfare in Sidoharjo Village, Tepus District, Gunungkidul Regency. This research method uses quantitative descriptive methods and primary data using questionnaires. This study took a sample of residents who were divided into 11 hamlets in Sidoharjo Village, Tepus District, Gunung kidul Regency. The sampling technique is stratified random sampling. Data collection is done by distributing questionnaires directly to people’s homes, attending social gatherings and routine meetings held by community members. It aims to obtain more data from respondents directly. The number of questionnaires processed was 120 questionnaires. Data were analyzed using multiple linear regression analysis. The results of this study indicate that community empowerment has a positive effect on the welfare of the people of Sidoharjo Village, Tepus District, Gunungkidul Regency, while transparency in financial management of village funds does not affect the welfare of the community in Sidoharjo Village, Tepus District, Gunungkidul Regency.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

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