scholarly journals ANFIS Definition of Focal Length for Zoom Lens via Fuzzy Logic Functions

10.5772/67823 ◽  
2017 ◽  
Author(s):  
Bahadır Ergün ◽  
Cumhur Sahin ◽  
Ugur Kaplan
Keyword(s):  
Fuzzy Logic ◽  
Focal Length ◽  
Zoom Lens ◽  
Definition Of ◽  
Logic Functions

DEVELOPMENT OF MODELS FOR DIAGNOSTIC DIABETES BASED ON FUZZY LOGIC METODS

2021 ◽  
pp. 90-95
Author(s):  
Евгений Николаевич Коровин ◽  
Екатерина Ивановна Новикова ◽  
Олег Валерьевич Родионов
Keyword(s):  
Mathematical Modeling ◽  
Decision Making ◽  
Information Technology ◽  
Fuzzy Logic ◽  
Human Body ◽  
Patient Information ◽  
Decision Making Process ◽  
Speed Up ◽  
Definition Of

В статье рассматриваются разработки методов интеллектуальной поддержки процесса диагностики сахарного диабета, а также определение его типа. В последние годы количество людей, страдающих данным заболеванием, неуклонно растет, а без своевременной диагностики эта патология может нанести огромный вред организму человека. Сахарный диабет 1 типа опасен тем, что в основном возникает у людей молодого возраста. Оперативное обнаружение диабета, а также определение его типа, поможет не только избежать возможных осложнений, но и в некоторых случаях предотвратить смерть пациента. Информационные технологии все чаще используются в различных сферах деятельности для разработки новых или совершенствования существующих методов обработки данных, особенно это можно заметить в сфере медицины. В настоящее время врач самостоятельно ставит диагноз, основываясь на результатах различных анализов, однако, для ускорения процесса принятия решения, можно воспользоваться методами математического моделирования, а именно: моделями диагностики диабета на основе нечеткой логики. Для наибольшего удобства данный способ распознавания заболевания впоследствии можно реализовать в информационно-программное обеспечение, которое сможет еще больше увеличить эффективность и скорость распознавания патологии The article discusses the issues of the incidence of diabetes in the population, in particular, the definition of its type. In recent years, the number of people suffering from this disease has been steadily growing, and without timely diagnosis, this pathology can cause enormous harm to the human body. Prompt detection of diabetes, as well as determination of its type, will help not only avoid possible complications, but also in some cases prevent the death of the patient. Information technology is increasingly being used in various fields of activity to develop new or improve existing methods of data processing, especially in the field of medicine. Currently, the doctor independently makes a diagnosis based on the results of various analyzes, however, to speed up the decision-making process, you can use the methods of mathematical modeling, namely, models of diabetes diagnostics based on fuzzy logic. For the greatest convenience, this method of disease recognition can subsequently be implemented in information software, which can further increase the efficiency and speed of pathology recognition

An implicit function theorem for regular fuzzy logic functions

2008 ◽  
Vol 159 (22) ◽  
pp. 2983-2987 ◽  
Author(s):  
Miguel Campercholi ◽  
Diego Vaggione
Keyword(s):  
Fuzzy Logic ◽  
Implicit Function Theorem ◽  
Implicit Function ◽  
Logic Functions

A Fuzzy Ontology-Based Platform for Flexible Querying

2015 ◽  
Vol 6 (3) ◽  
pp. 12-26 ◽  
Author(s):  
Amira Aloui ◽  
Amel Grissa Touzi
Keyword(s):  
Fuzzy Logic ◽  
Initial Data ◽  
Data Retrieval ◽  
Conceptual Clustering ◽  
Large Databases ◽  
Flexible Queries ◽  
Definition Of ◽  
Preliminary Classification ◽  
Flexible Querying

Flexible queries have recently received increasing attention to better characterize the data retrieval. In this paper, a new flexible querying approach using ontological knowledge is proposed. This approach presents an FCA based methodology for building ontologies from scratch then interrogating them intelligently through the fusion of conceptual clustering, fuzzy logic, and FCA. The main contribution is the definition of the ontology rom classes resulting from a preliminary classification of the data and not the initial data. The data cleansing provides a simple ontology and an optimal research of relevant data taking into account the preferences cited by the user in his initial interrogation. To realize this approach, a new platform called “FO-FQ Tab plug-in” is implemented. This plug-in is integrated within the ontology editor Protégé to allow building fuzzy ontologies from large databases and querying them intelligently

Applying Interval Fuzzy Petri Net to Failure Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 14-30
Author(s):  
Lajmi Fatma ◽  
Jalel Ghabi ◽  
Hedi Dhouibi
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Petri Nets ◽  
Graphical Representation ◽  
Logic Gate ◽  
New Approach ◽  
Novel Method ◽  
Definition Of ◽  
Fuzzy Logic Technique ◽  
The Relationship

In this article, the authors propose a new approach for modelling and failure analysis by combining the graphical representation provided by Petri nets and fuzzy logic. The graphical method is used for describing the relationship between conditions and events. The use of Petri nets in failure analysis enables replacing logic gate functions in fault trees. The Fuzzy logic technique allows natural language descriptions of process entities as well as an if-then rule-based definition of production. In addition, this study devises an alternative, a trapezoidal graph method in order to account for failure scenarios. Examples validating this novel method in dealing with failure analysis are also provided.

Is it Useful to Have a Clear-cut Definition of Life? On the Use of Fuzzy Logic in Prebiotic Chemistry

2010 ◽  
Vol 40 (2) ◽  
pp. 137-143 ◽  
Author(s):  
Gilles Bruylants ◽  
Kristin Bartik ◽  
Jacques Reisse
Keyword(s):  
Fuzzy Logic ◽  
Prebiotic Chemistry ◽  
Definition Of Life ◽  
Clear Cut ◽  
Definition Of

Definition of fuzzy logic rules representing finite element method experts’ reasoning

2009 ◽  
Vol 160 (10) ◽  
pp. 1444-1456 ◽  
Author(s):  
Guido Sangiovanni
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Fuzzy Logic ◽  
Definition Of ◽  
Element Method
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