scholarly journals The Evaluation of Master Theses in MATLAB Software Tool: Fuzzy Approach Makes Sense

2018 ◽  
Vol 19 (1) ◽  
pp. 51
Author(s):  
Đurađ Hajder
Keyword(s):  
Fuzzy Logic ◽  
Software Tool ◽  
Fuzzy Evaluation ◽  
Classical Approach ◽  
Fuzzy Approach ◽  
Scientific Contribution ◽  
Matlab Software ◽  
Mathematical Argumentation ◽  
Scientific Results ◽  
Interpretation Of Results

The aim of conducted investigation was to evaluate defined objectives, presented materials and methods and interpretation of results in student’s master theses in order to assess their scientific contribution. Firstly, evaluation was performed by using the traditional methodology and fuzzy evaluation was then conducted in a Fuzzy Logic Toolbox. Obtained values from two levels of evaluation were generally compared. Results indicate that fulfilment of defined criteria of evaluation is moderate. Evaluation mark in classical approach was higher in most cases but fuzzy approach showed some advantages. The criteria fulfilment for the logical-mathematical argumentation, as a prerequisite for the analysis of scientific results, showed its paramount importance in the process of classical and fuzzy evaluation as well.

scholarly journals Classical and Fuzzy Logic Evaluation of Students' Master Theses in Matlab Fuzzy Logic Toolbox Software: Dealing with Subjectivity in Human Reasoning

2018 ◽  
Vol 19 (2) ◽  
pp. 109
Author(s):  
Đurađ Hajder ◽  
Nikola Mićić
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Human Reasoning ◽  
Fuzzy Approach ◽  
Scientific Contribution ◽  
Mathematical Argumentation ◽  
Leading Role ◽  
Statistical Relevance ◽  
Definition Of ◽  
Levels Of Evaluation

The two−level evaluation of defined objectives, presented materials and methods and interpretation of results in master theses was done, in order to estimate their scientific contribution and statistical relevance. First level of evaluation was performed using classical methods and consisted of three steps: defining criteria of evaluation, analyzing their fulfilment and positioning 26 master theses into the Likert−type scale in the range from 0 to 1. Second level of evaluation was based on fuzzy logic methodology, conducted mostly in Matlab Fuzzy Logic Toolbox software and consisted of definition of variables, fuzzification, fuzzy inference, defuzzification and interpretation. Obtained marks from two levels of evaluation were than compared. Results indicate that fulfilment of defined criteria of evaluation is moderate. Common mistakes made by authors are accentuated, and clear advices for improving scientific contribution of theses were pointed out here. Classical evaluation marks were higher in 96.15% cases (or 25 out of 26 theses). However, fuzzy approach has advantages, which is also discussed. The interpretation of research results, defined as logical−mathematical argumentation, was found to have the leading role in forming mark in both levels of evaluation.

scholarly journals Research Methodology of the Method of Optimization of Information Interaction in the Aspect of Solving the User's Problem

Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 50-58
Author(s):  
M. Buinevich ◽  
P. Kurta
Keyword(s):  
Information System ◽  
Scientific Research ◽  
Interaction Model ◽  
Software Tool ◽  
Assessment Method ◽  
Performance Criteria ◽  
Model Interaction ◽  
Scenario Optimization ◽  
Information Interaction ◽  
Scientific Results

Research subject. Information interaction of the user with the information system. Objective. Improving the efficiency of user interaction with the information system to solve the main problem by customizing its interface and work script. Core results. The proposed methodology of scientific research aimed at achieving the goal, and consisting of 3 steps. As a result of each of them, the following main scientific results are expected to be obtained: interaction model, interaction assessment method, interaction optimization method. Also, it is expected to obtain private scientific results: the classification of the disadvantages of interaction, the influence of its parameters on the final efficiency, the architecture of the interface and scenario optimization system. Main conclusions. The proposed research scheme is scientifically correct and allows you to conduct a fullfledged scientific research and achieve the goal of the work. As a result, a method and a software tool will be developed that will make it possible to adjust a specific interface and a scenario for its work according to its own performance criteria - potency, operativeness and resource efficiency; at the same time, the general logic of solving the problem by the information system will remain unchanged.

Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web

2021 ◽  
pp. 447-481
Author(s):  
Amit Singh ◽  
Aditi Sharan
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Real World ◽  
Fuzzy Programming ◽  
Data Sources ◽  
Fuzzy Approach ◽  
Entity Linking ◽  
Efficient Information ◽  
Domain Independent

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.

Implementation of Fuzzy Technology in Complicated Medical Diagnostics and Further Decision

Fuzzy Systems ◽  
2017 ◽  
pp. 935-968
Author(s):  
A. B. Bhattacharya ◽  
Arkajit Bhattacharya
Keyword(s):  
Prostate Cancer ◽  
Fuzzy Logic ◽  
Urinary Incontinence ◽  
Expert Systems ◽  
Domestic Animals ◽  
Medical Diagnostics ◽  
Classical Approach ◽  
Medical Work ◽  
Neurological Signs ◽  
Fuzzy Expert Systems

This chapter presents the importance of fuzzy expert systems in the medical field. Efficient and suitable medical work becomes difficult many times without the knowledge of the rules of logic. The chapter highlights the ways of implementing both classical logic and non-classical approach (e.g. temporal and fuzzy logic) in some adverse areas of medical diagnostics. The implementation of fuzzy expert systems is supported by some examples illustrating how indispensable the cognition of logic and showing how applying logic can effectively improve work in medicine. Fuzzy Expert Systems for diagnosis of urinary incontinence, Parkinson's disease, including neurological signs in domestic animals, as well as its implementation for diagnosis of prostate cancer are elaborately discussed.

Two-Decision-Maker Conflict Resolution with Fuzzy Preferences

2014 ◽  
Vol 2 (2) ◽  
pp. 40-59
Author(s):  
Mubarak S. Al-Mutairi
Keyword(s):  
Fuzzy Logic ◽  
Conflict Resolution ◽  
Decision Maker ◽  
Decision Makers ◽  
Fuzzy Approach ◽  
Model Uncertainties ◽  
Preference Information ◽  
Fuzzy Preferences ◽  
Illustrative Application ◽  
Fuzzy Preference

A unique fuzzy approach is developed to model uncertainties in the preferences of a decision maker involved in a conflict. Human judgments, including expressing preferences over a set of feasible outcomes or states in a conflict, are usually imprecise. Situations characterized by vagueness, impreciseness, incompleteness and ambiguity, are often reflected in the decision maker's preferences. When modeling a conflict, it is assumed that the decision makers, the courses of actions available for each, and the preferences of each decision maker are known. When the preferences of the decision maker over a certain set of actions are not known with certainty, this could affect the overall equilibria which are predicted in an analysis. Hence, fuzzy logic is used to handle imprecise or vague preference information so that realistic equilibria can be found. The well-known game of Prisoner's Dilemma, in which one must decide whether or not to cooperate, is employed as an illustrative application to demonstrate how the fuzzy preference methodology works in practice.

Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web

2018 ◽  
Vol 14 (3) ◽  
pp. 134-166 ◽  
Author(s):  
Amit Singh ◽  
Aditi Sharan
Keyword(s):  
Fuzzy Logic ◽  
Semantic Web ◽  
Linked Data ◽  
State Of The Art ◽  
Fuzzy Programming ◽  
Data Sources ◽  
Fuzzy Approach ◽  
Entity Linking ◽  
Efficient Information ◽  
Domain Independent

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.

A software tool: Type-2 fuzzy logic toolbox

2008 ◽  
Vol 16 (2) ◽  
pp. 137-146 ◽  
Author(s):  
Muzeyyen Bulut Ozek ◽  
Zuhtu Hakan Akpolat
Keyword(s):  
Fuzzy Logic ◽  
Software Tool

FUZZY LOGIC APPLICATIONS IN TRANSPORTATION SYSTEMS

1995 ◽  
Vol 04 (03) ◽  
pp. 413-432 ◽  
Author(s):  
NICHOLAS MARCHALLECK ◽  
ABRAHAM KANDEL
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
State Of The Art ◽  
Transportation Systems ◽  
Fuzzy Approach ◽  
Fuzzy Logic Controllers ◽  
Aerospace Applications ◽  
Wide Range ◽  
Surface Transportation ◽  
Logic Controllers

The purpose of this paper is to provide a survey of state of the art fuzzy logic applications in the field of transportation, illustrating the usefulness, and the promising future of the fuzzy approach. The majority of the discussion covers the area of fuzzy control. A wide range of Fuzzy Logic Controllers (FLCs) is discussed, ranging from traffic, to aircraft controllers. Although the majority of applications are to surface transportation, surveys of several aerospace applications are also given.

scholarly journals AN APPLICATION OF FUZZY LOGIC TO ASSESS SERVICE QUALITY ATTRIBUTES IN LOGISTICS INDUSTRY

Transport ◽  
2015 ◽  
Vol 30 (2) ◽  
pp. 172-181 ◽  
Author(s):  
Ahmad Esmaeili ◽  
Reza Ahmadi Kahnali ◽  
Reza Rostamzadeh ◽  
Edmundas Kazimieras Zavadskas ◽  
Babak Ghoddami
Keyword(s):  
Fuzzy Logic ◽  
Service Quality ◽  
Competitive Advantage ◽  
Quality Attributes ◽  
Membership Degree ◽  
Fuzzy Approach ◽  
Logistics Industry ◽  
Customer Expectations ◽  
Logistics Company ◽  
Uncertainty Level

Differentiation, growing competitive advantage, and excellence has been proved to be the result of service quality. At the same time, measuring attributes of service quality and customer satisfaction is fuzzy and ambiguous, and methods available for their measurement are generally classical. This paper proposes a fuzzy method to identify the service quality attributes. This approach was developed using crisp assessment methods in a logistics company. Applying the proposed fuzzy approach, service quality attributes and indicators are identified and then organized into 8 categories, to see the uncertainty level of each. The proposed method was successfully conducted in a real logistics company. The results show the membership degree of each indicator, suggesting customer expectations regarding quality. Also, the membership degrees of the service quality attributes suggest the ability of each to describe service quality in logistics industry.

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