scholarly journals Assessment of the Performance Status of a Wharf

Pomorstvo ◽  
2018 ◽  
Vol 32 (2) ◽  
pp. 245-257
Author(s):  
Pereowei Garrick Ombor ◽  
Thaddeus C. Nwaoha
Keyword(s):  
Fuzzy Logic ◽  
Statistical Data ◽  
Performance Status ◽  
Rule Base ◽  
Subjective Judgement ◽  
The Status ◽  
Base Method ◽  
Logic Rule ◽  
Good Agreement

This paper suggests Fuzzy-logic-rule base method to assess the performance status of a wharf in order to classify it. The method proposed is predicated upon its ability to analyse processes and operations based on subjective judgement with little or no statistical data available. The study also shows that fuzzy-logic rule base is a veritable tool to qualitatively and quantitatively assess the status of a wharf offering ferry service. Using the model developed in this study, the performance status of Yenagoa wharf has been determined to be orange, having a (WPS) overall of 4.8. The status of the wharf has been in good agreement with the perception of stakeholders that the Yenagoa wharf needs restructuring to curb the frequent crisis occurring among stakeholders. The model also indicated those areas of the wharf’s operations needing attention. The study indicates that even though major components that determine the quality and profitability of the wharf’s ferry service are high in value, the overall status of the wharf may not be necessarily high. As such, the study method can be used to control the growing ill-feeling between boat operators and passengers while harmonizing all stakeholders (operators, passengers, and regulators etc) to work together to improve the status of the wharf.

scholarly journals Assessment of the Performance Status of a Wharf

Pomorstvo ◽  
2018 ◽  
Vol 31 (1) ◽  
pp. 245-257
Author(s):  
Pereowei Garrick Ombor ◽  
Thaddeus C. Nwaoha
Keyword(s):  
Fuzzy Logic ◽  
Statistical Data ◽  
Performance Status ◽  
Rule Base ◽  
Subjective Judgement ◽  
The Status ◽  
Base Method ◽  
Logic Rule ◽  
Good Agreement

This paper suggests Fuzzy-logic-rule base method to assess the performance status of a wharf in order to classify it. The method proposed is predicated upon its ability to analyse processes and operations based on subjective judgement with little or no statistical data available. The study also shows that fuzzy-logic rule base is a veritable tool to qualitatively and quantitatively assess the status of a wharf offering ferry service. Using the model developed in this study, the performance status of Yenagoa wharf has been determined to be orange, having a (WPS) overall of 4.8. The status of the wharf has been in good agreement with the perception of stakeholders that the Yenagoa wharf needs restructuring to curb the frequent crisis occurring among stakeholders. The model also indicated those areas of the wharf’s operations needing attention. The study indicates that even though major components that determine the quality and profitability of the wharf’s ferry service are high in value, the overall status of the wharf may not be necessarily high. As such, the study method can be used to control the growing ill-feeling between boat operators and passengers while harmonizing all stakeholders (operators, passengers, and regulators etc) to work together to improve the status of the wharf.

scholarly journals An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems

2018 ◽  
Vol 7 (2.15) ◽  
pp. 102
Author(s):  
Ratih Fitria Jumarni ◽  
Nurnadiah Zamri
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy Topsis ◽  
Rule Base ◽  
Multi Criteria Decision Making ◽  
Decision Matrix ◽  
Firing Strength ◽  
High Level ◽  
Logic Rule

Multi-Criteria Decision Making (MCDM) is a decision-making methods, which it is able to find a unique agreement from number of experts by evaluating the uncertain judgment among them. Several fuzzy logic based approaches have been employed in MCDM to handle the linguistic uncertainties and hesitancy. However, there is still a need to handle high level of uncertainties that exists in decision making problems. Thus, the purpose of this paper is to introduce the new concept namely fuzzy TOPSIS and fuzzy logic based MCDM. The proposed concepts aims to handle the high levels of uncertainties which exists due to the varying experts’ judgments and the vagueness of the appraisal. The proposed method utilized fuzzy logic rule-base in determining the alternatives and criteria for decision matrix. Then, in the aggregation phase, the min operator is used to compute the firing strength for each rule. The feasibility and applicability of the proposed methods are illustrated with an example. This new concept is seen be able to handle intangibles and less cumbersome in mathematical calculations.  

scholarly journals THE USE OF FUZZY LOGIC WHILE MODELING THE CREDITWORTHINESS OF LEGAL ENTITIES

2020 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Olga Palamarchuk
Keyword(s):  
Fuzzy Logic ◽  
Statistical Data ◽  
Expert Knowledge ◽  
Methodological Approach ◽  
Financial Statements ◽  
Rule Base ◽  
Decision Making Process ◽  
Domestic Enterprise ◽  
Practical Implications ◽  
Legal Entities

The purpose of the article is to develop a methodological approach to support the decision-making process in determining the creditworthiness of legal entities, as well as to create economic mathematical models based on this approach using the theory of fuzzy logic and fuzzy sets. Methodology. In the author's work (Palamarchuk, 2013), 49 real financial statements (Form 1 and Form 2) of Ukrainian enterprises were selected, 25 of which were potentially bankrupt and 24 were normally operating enterprises. As a result, 7 coefficients were obtained. Here we continue our modelling and building rule base. Result of the experiment is based on statistical data of domestic enterprise. The model has been constructed with the use of theory of fuzzy logic. Considering the expert knowledge, this model helps to make decisions on whether to provide the legal entity with the loan. Practical implications. The model and methodology can be used in commercial banks of Ukraine for calculating application risks. The known models do not fit to every economy. This is the reason which provides value originality of the topic of this study, which solves the problem of creating a method that would give the most sufficient assessment of creditworthiness.

Autogeneration of Fuzzy Logic Rule-Base Controllers

2011 ◽  
Vol 110-116 ◽  
pp. 5123-5130
Author(s):  
M. O. Abdalla ◽  
T.A. Al–Jarrah
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Search Algorithm ◽  
Rule Base ◽  
The Novel ◽  
Binary Search Algorithm ◽  
And Performance ◽  
Control Application ◽  
Logic Rule

A novel Fuzzy Logic controller design methodology is presented. The method utilizes a Particle Swarm Optimization (PSO) binary search algorithm to generate the rules for the Fuzzy Logic controller rule-base stage without human experience intervention. The proposed technique is compared with the well established Lyapunov based Fuzzy Logic controller design in generating the rules. Finally, the controller’s effectiveness and performance are tested, verified and validated using an elevator control application. The novel controller’s results are to be compared with traditional Proportional Integral Derivative (PID) controller and classical Fuzzy Logic (FL) controllers.

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

Innovations in Food Production - Status and Directions of Development

2012 ◽  
Vol 7 (2) ◽  
pp. 183-193
Author(s):  
Barbara Grzybowska
Keyword(s):  
Functional Food ◽  
Food Production ◽  
Food Industry ◽  
Statistical Data ◽  
New Products ◽  
Technological Innovations ◽  
The Status ◽  
Product Manufacturing ◽  
The Subject ◽  
And Storage

This paper characterises the directions of innovative activities undertaken by food industry enterprises concerning the manufacturing of food products. Based on the subject literature and secondary statistical data, the status of food industry innovativeness and areas of innovative activities related to implementation of technological and non-technological innovations are presented. The activities of enterprises focus on manufacturing new products in response to the ever-changing needs and expectations of consumers. In particular, the production of so-called functional food (which seeks to promote health, minimise the risk of specific diseases, improve psychophysical fitness, lose weight, etc.) is increasingly extensive. Manufacturers must also improve the technologies and techniques of product manufacturing, packaging and storage. 

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