FORMALIZATION OF THE PROBLEM OF MATHEMATICAL INTERPRETATION RECOGNITION OF MEDICAL IMAGES FOR EXAMPLE ALOPECIA

2021 ◽  
pp. 126-129
Author(s):  
Ахмед Магомедович Денгаев
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Image Recognition ◽  
Support System ◽  
Medical Knowledge ◽  
Recognition System ◽  
Subject Area ◽  
Main Task ◽  
Medical Image Recognition ◽  
Mathematical Interpretation

Одним из перспективных и эффективных направлений автоматизированной диагностики заболевания является использование системы распознавания медицинских образов. Главная задача - это максимально точная интерпретация изображения. Прежде всего, необходимо правильно формализовать задачу, провести структуризацию основных условий функционирования системы. В статье составлено содержательное описание предметной области, разработано формализованная схема исследуемой системы. Обозначено, что решение задачи структуризации сводится к разработке отдельных классов, сгруппированных по общим признакам и характеристикам болезни. В этом случае точность и информативность диагноза будет зависеть от полноты базы данных конкретного класса. Приведена математическая интерпретация отношений и связей элементов системы. Применение математических моделей и алгоритмов в медицине является важной задачей. Выбор того или иного алгоритма определяется решаемой задачей. Необходимо понимать, что получаемый результат особо ценен, если он подтверждается математическими расчетами. Предложена многоуровневая архитектура системы поддержки принятия решений, где ключевое место отведено модулю автоматизированной диагностики и распознавания изображения. Отмечено, что при создании системы поддержки принятия решения в медицине специалисты сталкиваются с двумя концептуальными барьерами: первый - связан с колоссальным объемом медицинских знаний, а второй - с постоянным обновлением этих знаний и технологий их обработки. Поэтому главной задачей является правильная структуризация и формализация системы поддержки принятия решений для его эффективного применения One of the most promising and effective areas of automated diagnosis of the disease is the use of a medical image recognition system. The main task is to interpret the image as accurately as possible. First of all, it is necessary to properly formalize the task, to structure the basic conditions for the functioning of the system. The article contains a meaningful description of the subject area, and a formalized scheme of the system under study is developed. It is indicated that the solution to the problem of structuring is reduced to the development of separate classes grouped by common signs and characteristics of the disease. In this case, the accuracy and informativeness of the diagnosis will depend on the completeness of the database of a particular class. The mathematical interpretation of the relations and connections of the system elements is given. The application of mathematical models and algorithms in medicine is an important task. The choice of an algorithm is determined by the problem being solved. It is necessary to understand that the result obtained is particularly valuable if it is confirmed by mathematical calculations. A multi-level architecture of the decision support system is proposed, where the key place is given to the module of automated diagnostics and image recognition. It is noted that when creating a decision support system in medicine, specialists face two conceptual barriers: the first one is associated with a huge amount of medical knowledge, and the second one is associated with the constant updating of this knowledge and technologies for their processing. Therefore, the main task is to properly structure and formalize the decision support system for its effective application

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajar Syahputra ◽  
Mesran Mesran ◽  
Ikhwan Lubis ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Basic Education ◽  
Selection Index ◽  
Main Task ◽  
Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

scholarly journals Decision support system for individual athlete’s diet based on optimization modeling’ development

2020 ◽  
Vol 215 ◽  
pp. 01008
Author(s):  
Igor Kotciuba ◽  
Evgenii Ermakov ◽  
Alexey Shikov
Keyword(s):  
Mathematical Model ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic Generation ◽  
Subject Area ◽  
Calorie Intake ◽  
Sports Activity ◽  
Food Components ◽  
Optimization Formulation

The article discusses the main areas of information technology tools application in the training of athletes, analyzes the types of expert systems that can be applied for this subject area, indicating the features of their use, including the tasks of supporting the plans preparation for individual diets of athletes. The formulated mathematical model is considered as a decision-making model in an optimization formulation for seeking the optimal ratio of food components from the space of admissible decisions of the various food products ratio. The recommendations regarding the daily needs of athletes in the necessary vital components for various sports activity categories, considering the norms of daily calorie intake in accordance with the Mifflin-San Geor formula, indicating the maximum norms of proteins, fats, carbohydrates, are analyzed. A mathematical model is presented in an optimization formulation from the class of discrete programming, on which the developed intelligent decision support system is based. The implementation components of the software system in the pseudocode format and examples of the implementation of the model for the formation of individual diet plans in the optimization setting are presented. The developed software package can be used for automatic generation of basic recommendations for the proposal of individual diets as an auxiliary means of supporting the activities of a dietitian to find the optimal plan in terms of maximizing individual preferences for food in the area of permissible values for the restrictions on the type of sports activities and the maximum norms of food components.

Kompetensi yang Optimal Terhadap Penilaian Kinerja Guru dengan Metode Simple Additive Weighting

2021 ◽  
pp. 154-159
Author(s):  
A Alfarisdon ◽  
S Sumijan ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Assessment ◽  
Support System ◽  
Teacher Performance ◽  
Teacher Assessment ◽  
Main Task ◽  
Teacher Competence ◽  
Teacher Performance Assessment ◽  
Simple Additive Weighting

Professional teachers should be able to improve their quality to achieve the vision and mission of the school where the teacher is carrying out their duty. The main task of an educator is to provide students with the process of learning, educating, training and giving directions to create a better learning process. Besides carrying out the task of teaching, an educator also needs to be able to develop themselves sustainably in order to increase self-competencies. There are four competencies should be owned by an educator they are pedagogic, personality, social and professional. To measure those competencies, school head master have to conduct teacher assessment by pointed assessors. Teacher performance assessment functions to analyses teachers ' professionalism in learning processes at a school, teachers participation on self-empowerment activities as well as capacity building. This study aims to calculate the value of teacher performance assessment optimally based on competence through a decision support system. Simple Additive Weighting method is used in this decision support system. By using Simple additive weighting, the sum of weight ratings performance on each alternative in all the attributes can be collected. This decision support system used to make it easier to take a decision and a supporter of decision in performance evaluations. Dataset treat in this research was collected in SMP Negeri 25 Padang. The data consisting of four different criteria in accordance with teacher competence. The result of the study reaches the level of accuracy of 93%. This study is expected to bring benefits for school leaders as the reference in order to optimize the teacher performance evaluation objectively.

scholarly journals AN ONTOLOGICAL APPROACH TO THE DEVELOPMENT OF A KNOWLEDGE BASE OF A DECISION SUPPORT SYSTEM FOR CHOOSING AN INDIVIDUAL EDUCATIONAL TRAJECTORY

2021 ◽  
pp. 29-34
Author(s):  
О.В. Баюк ◽  
И.О. Лозикова
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Base ◽  
Support System ◽  
Subject Area ◽  
Educational Trajectories ◽  
Ontological Approach ◽  
The Subject ◽  
Ontological Modeling ◽  
Ontological Model

В статье рассмотрены актуальные вопросы онтологического моделирования базы знаний интеллектуальной системы поддержки принятия решения (СППР) по выбору индивидуальной образовательной траектории. Цель работы – разработка онтологической модели базы знаний системы поддержки принятия решения для построения индивидуальной образовательной траектории обучающегося. Предметом исследования является онтологическое моделирование процесса построения индивидуальной образовательной траектории. Актуальность работы обусловлена индивидуализацией образовательного процесса, который предлагается осуществлять по индивидуальным образовательным траекториям (ИОТ). При построении ИОТ большая роль отводится самостоятельному выбору и принятию решения обучающимся, где необходимо ясно видеть возможный результат своего выбора. Система построения сценариев выбора ИОТ или Система поддержки принятия решения (СППР, Decision Support System, DSS) является интеллектуальной системой, ядром которой будет база знаний на основе онтологической модели. Представлены методологические и технологические аспекты моделирования онтологии базы знаний предметной области индивидуальных образовательных траекторий, применение современных программных средств и стандартов разработки онтологических моделей. Описан метод и технология онтологического моделирования, представлены основные технологические стандарты и их теоретические основания, а также основные процессы методики проектирования. Дано описание предметной области онтологической модели, подход к построению модели базы знаний индивидуальной образовательной траектории, где сформулированы целевые вопросы данной онтологии для определения её масштаба и компетентности. Представлен последовательный процесс онтологического моделирования знаний описанной предметной области. Разработаны правила логического вывода для проверки компетентности онтологической модели и представлены результаты логических вычислений. Представлен выбор семантических технологий для разработки СППР. В заключение сделаны выводы о преимуществах онтологического подхода к разработке базы знаний системы поддержки принятия решения по выбору индивидуальной образовательной траектории и о программной архитектуре реализации данной системы. The article deals with topical issues of ontological modeling of the knowledge base of the intelligent decision support system (DSS) for the choice of an individual educational trajectory. The purpose of the work is to develop an ontological model of the knowledge base of the decision support system for building an individual educational trajectory of a student. The subject of the research is the ontological modeling of the process of building an individual educational trajectory. The relevance of the work is due to the individualization of the educational process, which is proposed to be carried out according to individual educational trajectories (IOT). When building an IOT, a large role is assigned to the independent choice and decision-making of students, where it is necessary to clearly see the possible result of their choice. The system for constructing IOT selection scenarios or the Decision Support System (DSS, Decision Support System, DSS) is an intelligent system, the core of which will be a knowledge base based on an ontological model. Methodological and technological aspects of modeling the ontology of the knowledge base of the subject area of individual educational trajectories, the use of modern software tools and standards for the development of ontological models are presented. The method and technology of ontological modeling are described, the main technical standards and their theoretical foundations are presented, as well as the main processes of the design methodology. The article describes the subject area of the ontological model, an approach to building a knowledge base model of an individual educational trajectory, where the target questions of this ontology are formulated to determine its scale and competence. A sequential process of ontological modeling of knowledge of the described subject area is presented. The rules of logical inference for checking the competence of the ontological model are developed and the results of logical calculations are presented. The choice of semantic technologies for the development of DSS is presented. In conclusion, conclusions are made about the advantages of the ontological approach to the development of the knowledge base of the decision support system for choosing an individual educational trajectory and about the software architecture of the implementation of this system.

scholarly journals Kompetensi yang Optimal Terhadap Penilaian Kinerja Guru dengan Metode Simple Additive Weighting

2021 ◽  
pp. 156-161
Author(s):  
A Alfarisdon ◽  
S Sumijan ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Assessment ◽  
Support System ◽  
Teacher Performance ◽  
Teacher Assessment ◽  
Main Task ◽  
Teacher Competence ◽  
Teacher Performance Assessment ◽  
Simple Additive Weighting

Professional teachers should be able to improve their quality to achieve the vision and mission of the school where the teacher is carrying out their duty. The main task of an educator is to provide students with the process of learning, educating, training and giving directions to create a better learning process. Besides carrying out the task of teaching, an educator also needs to be able to develop themselves sustainably in order to increase self-competencies. There are four competencies should be owned by an educator they are pedagogic, personality, social and professional. To measure those competencies, school head master have to conduct teacher assessment by pointed assessors. Teacher performance assessment functions to analyses teachers ' professionalism in learning processes at a school, teachers participation on self-empowerment activities as well as capacity building. This study aims to calculate the value of teacher performance assessment optimally based on competence through a decision support system. Simple Additive Weighting method is used in this decision support system. By using Simple additive weighting, the sum of weight ratings performance on each alternative in all the attributes can be collected. This decision support system used to make it easier to take a decision and a supporter of decision in performance evaluations. Dataset treat in this research was collected in SMP Negeri 25 Padang. The data consisting of four different criteria in accordance with teacher competence. The result of the study reaches the level of accuracy of 100 %.This study is expected to bring benefits for school leaders as the reference in order to optimize the teacher performance evaluation objectively.

Visualization Techniques for Confidence Based Data

2011 ◽  
pp. 2068-2073
Author(s):  
Andrew Hamilton-Wright ◽  
Daniel W. Stashuk
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Visual Processing ◽  
Support Systems ◽  
Recognition System ◽  
Human Decision ◽  
Visualization Techniques

Decision support algorithms form an important part of the larger world of data mining. The purpose of a decision support system is to provide a human user with the context surrounding a complex decision to be based on computational analysis of the data at hand. Typically, the data to be considered cannot be adequately managed by a human decision maker because of its volume, complexity or both; data mining techniques are therefore used to discover patterns in the data and inform the user of their saliency in terms of a particular decision to be made. Visualization plays an important role in decision support, as it is through visualization that we can most easily comprehend complex data relationships (Tufte, 1997, 2001, 2006; Wright, 1997). Visualization provides a means of interfacing computationally discovered patterns with the strong pattern recognition system of the human brain. As designers of visualization for decision support systems, our task is to present computational data in ways that make intuitive sense based on our knowledge of the brain’s aptitudes and visual processing preferences. Confidence, in the context of a decision support system, is an estimate of the value a user should place in the suggestion made by the system. System reliability is the measure of overall accuracy; confidence is an estimate of the accuracy of the suggestion currently being presented. The idea of an associated confidence or certainty value in decision support systems has been incorporated in systems as early as MYCIN (Shortliffe, 1976; Buchanan & Shortliffe, 1984).

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