99,565 research outputs found

    Educational approach for fault detection in Internal Combustion Engines with Matlab Toolbox Fuzzy Logic

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    Fuzzy logic is the logic defined from the theory of fuzzy sets. It differs from the crisp logic (traditional) in their characteristics and their details. In textbooks on fuzzy inference systems, exemplified superficially implementation creating doubts among computer science students. Traditionally, teachers teach IC with the use of conceptual models. This model was to serve specified parameters computing courses, allowing students to study and development of computational models using Matlab Fuzzy Logic Toolbox (MFLT) for fault detection in engines. This paper proposes an academic learning model based on fuzzy inference and modeling to detect incipient faults in components of internal combustion engines

    Hypersequents and the Proof Theory of Intuitionistic Fuzzy Logic

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    Takeuti and Titani have introduced and investigated a logic they called intuitionistic fuzzy logic. This logic is characterized as the first-order Goedel logic based on the truth value set [0,1]. The logic is known to be axiomatizable, but no deduction system amenable to proof-theoretic, and hence, computational treatment, has been known. Such a system is presented here, based on previous work on hypersequent calculi for propositional Goedel logics by Avron. It is shown that the system is sound and complete, and allows cut-elimination. A question by Takano regarding the eliminability of the Takeuti-Titani density rule is answered affirmatively.Comment: v.2: 15 pages. Final version. (v.1: 15 pages. To appear in Computer Science Logic 2000 Proceedings.

    A Review of Digital Image Classification Based on Fuzzy Logic

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    Fuzzy logic has long been an important issue for in the field of computer science, computer vision, image processing, machine learning and control theory and mathematics. In this review paper, we also see that the basics of fuzzy logic as well as fuzzy logic system (Fuzzy Inference System) use as decision making technique under a linguistic view of fuzzy sets. In this study, we focused to review the fuzzy logic to classification of digital image. The aim of this study was to review the fuzzy logic algorithm for classification of image

    ELEMENTS OF ‘‘FUZZY LOGIC’’ AS A COMPONENT OF PROFESSIONAL AND PEDAGOGICAL TRAINING OF FUTURE MATHEMATICS AND INFORMATICS TEACHERS

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    Introduction: the article describes the application of fuzzy logic in the teaching of mathematics. This theory has a great creative ability to solve various pedagogical tasks for the implementation of the developing and applied functions of school mathematical education. The purpose of the article is to identify the possibilities of including the theory of fuzzy logic in the composition of professional training for future teachers of mathematics and computer science with the definition of content and methodological features. Materials and Methods: normative and programmatic documents describing the implementation of the training of future teachers of mathematics and computer science were studied during the writing of the article. The authors looked through the results of sociological surveys of students. Theoretical analysis and comparison of domestic and foreign approaches to the study of fuzzy logic were used, as well as analysis of the content and features of the professional training process for future teachers of mathematics and com¬puter science. Pedagogical measurements, generalization of the experience of teaching special subjects at the Penza State University, and pedagogical experiments were involved. Results: the need to study the elements of fuzzy mathematics in the school and the appropriateness of including this subject in the content of professional preparation of future mathematics and computer science teachers was demonstrated. Methodological prerequisites for studying this topic are defined, the Using Elements of Fuzzy Logic to Solve Pedagogical Problems intensive course is developed. Discussion and Conclusions: the fuzzy logic course allows to strengthen the motivational and developing potential of teachers of mathematics and computer science at school and university due to the non-conventionality of the involved thinking techniques and the possibility of connecting diverse subject interrelations. As the main way of preparing future teachers of mathematics and computer science for teaching students the elements of fuzzy mathematics, it is advisable to consider an elective course that includes elements of fuzzy logic and their pedagogical applications. Students used the materials quite effectively in the course of their practical work as teachers of mathematics and computer science in high school

    LOGIKA FUZZY UNTUK MENENTUKAN ASUPAN KALORI PADA TERAPI DIET TERHADAP PENDERITA OBESITAS

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    It takes time for a while to determine calory intake for diabetics. Computer technology has been growing rapidly, that can help human life even outside the field of computer science. One of the ways to fulfill those needs is by using fuzzy methode. Fuzzy methode has been applicated in many fields, especially in health. In diet theraphy, obesity can be prevented by restriction in food intake, called diet. Calory intake is determined manually by counting ideal weight combined with other weight. In this research, researcher use fuzzy logic to determine calory intake for patients with obesity when nutrition section still use counting ideal weight, basal needs and activity manually. Therefore, it is a need a methode that can determine calory intake in diet therapy for the sake of a new knowledge and more competitive like for Puskesmas Ambacang.Keywords : Fuzzy Logic, Mamdani Method, Calory Inta
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