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Journal articles on the topic 'Non-precise logic method'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Danos, Vincent, Jean-Baptiste Joinet, and Harold Schellinx. "A new deconstructive logic: linear logic." Journal of Symbolic Logic 62, no. 3 (1997): 755–807. http://dx.doi.org/10.2307/2275572.

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AbstractThe main concern of this paper is the design of a noetherian and confluent normalization for LK2 (that is, classical second order predicate logic presented as a sequent calculus).The method we present is powerful: since it allows us to recover as fragments formalisms as seemingly different as Girard's LC and Parigot's λμ, FD ([10, 12, 32, 36]), delineates other viable systems as well, and gives means to extend the Krivine/Leivant paradigm of ‘programming-with-proofs’ ([26, 27]) to classical logic; it is painless: since we reduce strong normalization and confluence to the same propertie

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K, Hemalatha, and Venkateswarlu B. "Developing an Intelligent Washing Machine with a Fuzzy Logic Controller." International Research Journal of Multidisciplinary Scope 05, no. 03 (2024): 728–37. http://dx.doi.org/10.47857/irjms.2024.v05i03.0864.

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Nowadays, washing technologies are extensively used in every household. The purpose of this work is to create and develop a fuzzy logic-based system for improving the intelligence of washing machines. In complex control systems, fuzzy logic is more effective when compared to traditional procedures. The fuzzy technique combines machine precision as well as human intelligence to produce an adequate base for the future washing program. The entire method relies on the idea of using fuzzy logic to transform non-precise sensor inputs into a precise number representing the washing duration. Furthermo

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Starczewski, Janusz T., Piotr Goetzen, and Christian Napoli. "Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems." Journal of Artificial Intelligence and Soft Computing Research 10, no. 4 (2020): 271–85. http://dx.doi.org/10.2478/jaiscr-2020-0018.

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AbstractIn real-world approximation problems, precise input data are economically expensive. Therefore, fuzzy methods devoted to uncertain data are in the focus of current research. Consequently, a method based on fuzzy-rough sets for fuzzification of inputs in a rule-based fuzzy system is discussed in this paper. A triangular membership function is applied to describe the nature of imprecision in data. Firstly, triangular fuzzy partitions are introduced to approximate common antecedent fuzzy rule sets. As a consequence of the proposed method, we obtain a structure of a general (non-interval)

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Ashwini Dogga. "A Synergistic Approach to Software Effort Estimation Using Fuzzy Logic and Machine Learning." Journal of Information Systems Engineering and Management 10, no. 19s (2025): 1–9. https://doi.org/10.52783/jisem.v10i19s.2968.

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Precise software effort estimation is crucial for efficient project management, impacting planning, budgeting, and resource allocation. Conventional models frequently need help dealing with software development's inherent unpredictability and intricacy. This study introduces a new hybrid model that combines the clarity of fuzzy logic with the predictive capabilities of machine learning to improve software work estimation. By employing the Takagi-Sugeno-Kang (TSK) fuzzy logic method, we can account for the vague and uncertain elements of effort estimation. At the same time, machine learning mod

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Nazha, Hasan Mhd, Mhd Ayham Darwich, Ebrahim Ismaiel, et al. "Portable Infrared-Based Glucometer Reinforced with Fuzzy Logic." Biosensors 13, no. 11 (2023): 991. http://dx.doi.org/10.3390/bios13110991.

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Diabetes mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels owing to decreased insulin production or sensitivity. Current diagnostic approaches for gestational diabetes entail intrusive blood tests, which are painful and impractical for regular monitoring. Additionally, typical blood glucose monitoring systems are restricted in their measurement frequency and need finger pricks for blood samples. This research study focuses on the development of a non-invasive, real-time glucose monitoring method based on the detection of glucose in human tears and finger

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Woud, Woud, Murtadha M. Hamad, and Azmi Tawfeq Hussein Alrawi. "Enhancing Osteoporosis Detection with Fuzzy Logic Preprocing and Pre-Trained Deep Convolutional Neural Networks." Journal of Intelligent Systems and Internet of Things 16, no. 2 (2025): 214–35. https://doi.org/10.54216/jisiot.160216.

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This study investigates combining fuzzy logic with deep learning methodologies in classifying X-ray images for osteoporosis detection. Osteoporosis, defined by compromised bone integrity and heightened fracture susceptibility, requires prompt and precise diagnosis for effective treatment. We devised a hybrid approach that amalgamates transfer learning from Convolutional Neural Network (CNN) architectures, including MobileNetV2, AlexNet, ResNet50V2, and Xception, utilizing fuzzy logic during the preprocessing phase to address uncertainty and imprecision in X-ray images, thereby enhancing the qu

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Chandra Pradhan, Mohan. "An Intelligent Fuzzy Based Technique of Making Food Using Rice Cooker." Asian Journal of Electrical Sciences 5, no. 1 (2016): 1–7. http://dx.doi.org/10.51983/ajes-2016.5.1.1971.

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This paper aims at presenting the idea of controlling the cooking time of rice based on the type of rice and quantity of water using fuzzy logic control. The paper describes the procedure that can be used to get a suitable cooking time for different types of rice. The process is based entirely on the principle of taking non-precise inputs from the sensors, subjecting them to fuzzy arithmetic and obtaining a crisp value of the cooking time. It is quite clear from the paper itself that this method can be used in practice to further automate the rice cookers. Nevertheless, this method, though wit

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Song, Le Peng, and Hua Bin Wang. "The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System." Advanced Materials Research 846-847 (November 2013): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.321.

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As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,t

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Pinheiro, João Ricardo, Paulo de Tarso Fernandes, Augusto Baffa, and Bruno Feijó. "Exploring extensions of neurotransmitter-based emotion models." Journal on Interactive Systems 16, no. 1 (2025): 392–404. https://doi.org/10.5753/jis.2025.5642.

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Advancements in artificial intelligence have significantly enhanced the gaming experience, enabling more engaging and adaptive interactions between players and digital characters. A key aspect of this progress is the ability of non-player characters (NPCs) to display more lifelike realistic emotional responses that simulate the fluid and unpredictable nature of human emotions. This work presents a novel emotion model integrating Lövheim’s Cube of Emotions with Plutchik’s Wheel of Emotions, combining the dynamic aspects of the former with the detailed structure of the latter. The model was expa

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Bernardová, Dana, Eva Jílková, Miroslav Pokorný, and Zdeňka Krišová. "Abstract Modelling of the Impact of Activities of Economic Entities on the Social System." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 3 (2017): 965–76. http://dx.doi.org/10.11118/actaun201765030965.

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Economic entities as integral parts of the social system have an impact on it. The complexity of structures and uncertainty of behaviour which are also conditioned by incorporating the human factor are the typical characteristics of economic entities and the social system. The lack of precise measurement data as well as precise information is their typical feature. Methods of creating computer models of such systems must therefore be based on uncertain, incomplete or approximate data and hypothetical assumptions. The paper deals with the synthesis of the abstract model of the expert system for

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Wang, Kai, Sanpeng Deng, Xiangling Zhang, Yucong Cao, and Shiping Zhang. "Research on trajectory tracking of wheeled mobile robots using fuzzy PID based on TD3." Journal of Physics: Conference Series 2896, no. 1 (2024): 012057. https://doi.org/10.1088/1742-6596/2896/1/012057.

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Abstract This study addresses the issues and limitations of trajectory tracking for Non-holonomic wheeled mobile robot (NWMR) under traditional PID control, including low accuracy, high response delay, poor robustness, and stability concerns. We propose a strategy that combines the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm with fuzzy PID control to optimize PID parameter tuning for more precise robot trajectory tracking. Fuzzy logic is introduced to adjust the PID controller parameters, making them more adaptive and robust. The bidirectional long short-term memory (BiLSTM

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Kosheleva, I. N. "ENGLISH GRAMMAR TEACHING ENHANCEMENT: FROM RULES TO REASON-BASED APPROACH." Bulletin of Kemerovo State University, no. 1 (April 25, 2018): 201–7. http://dx.doi.org/10.21603/2078-8975-2018-1-201-207.

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When describing grammar phenomena, many course-books comprise rules of thumb and turn students’ attention to the construction methods of grammar forms. However, in practice these rules can be abstract, not giving precise or full explanation to the language units. In some cases explanations don’t correspond to the examples from the authentic sources. The subject of this research is the problem of the effective teaching English grammar to the students of non-linguistic universities. The purpose of the article is to describe methods of teaching English grammar from the standpoint of meaning of th

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Francisco Trejo, Rafael Torres Escobar, and Alberto Ochoa-Zezzatti. "Forecasting 3PL demand of warehousing services with interval type-3 fuzzy logic and GM (1,1)." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 4 (2024): 186–98. http://dx.doi.org/10.61467/2007.1558.2024.v15i4.441.

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Real-world information can be vague or imprecise, not reliable, where the information is presented in fragments, ambiguity in the data, or even contradictory information, these can lead to uncertainty, but even this uncertainty we need to take decisions [1]. Part of this uncertainty can be handled by different un-certainty models, such: grey systems [2-3], type-1, type-2 [4-7] or typ-3 fuzzy systems, all used represent this uncertainty with numbers. But some-times, there more complex situations are, it is extremely difficult to find the precise numeric value or model to provide accurate value

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Shaukat, Nabil, Muhammad Moinuddin, and Pablo Otero. "Underwater Vehicle Positioning by Correntropy-Based Fuzzy Multi-Sensor Fusion." Sensors 21, no. 18 (2021): 6165. http://dx.doi.org/10.3390/s21186165.

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The ability of the underwater vehicle to determine its precise position is vital to completing a mission successfully. Multi-sensor fusion methods for underwater vehicle positioning are commonly based on Kalman filtering, which requires the knowledge of process and measurement noise covariance. As the underwater conditions are continuously changing, incorrect process and measurement noise covariance affect the accuracy of position estimation and sometimes cause divergence. Furthermore, the underwater multi-path effect and nonlinearity cause outliers that have a significant impact on positional

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Ye, Yilin, Qian Zhu, Shishi Xiao, Kang Zhang, and Wei Zeng. "The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–31. http://dx.doi.org/10.1145/3641019.

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Image search is an essential and user-friendly method to explore vast galleries of digital images. However, existing image search methods heavily rely on proximity measurements like tag matching or image similarity, requiring precise user inputs for satisfactory results. To meet the growing demand for a contemporary image search engine that enables accurate comprehension of users' search intentions, we introduce an innovative user intent expansion framework. Our framework leverages visual-language models to parse and compose multi-modal user inputs to provide more accurate and satisfying resul

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Coşkun, Abdulkadir. "An Overview of Logic in Avicenna." Journal Of The Near East Unıversıty Islamıc Research Center 8, no. 1 (2022): 33–52. http://dx.doi.org/10.32955/neu.istem.2022.8.1.03.

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Avicenna, who defines logic as a method of reaching non-actual information based on actual information, or a method that protects people from mistakes while thinking, basically aims to reach information in the art of logic. In this respect, logic is a tool that leads to knowledge. Although Ibn Sînâ included the logic in all his works, he dealt with logic in more detail in his works called Kitâb Al-Shifâ and Remark and Admonitions. Besides, in Kitâb Al-Shifâ, written by Ibn Sînâ in accordance with the Peripatetic tradition, all the logic topics that Aristotle examined were the subject of resear

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Anitha L. "Multiple Sclerosis Severity Classification in MRI using SCAN-ExOrU-Net and Siren-CNN." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 283–94. https://doi.org/10.52783/jisem.v10i44s.8599.

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Multiple Sclerosis (MS) is a progressive neurological disorder that leads to significant structural and functional changes in the brain, impacting both white and gray matter. Magnetic Resonance Imaging (MRI) plays a critical role in MS diagnosis and monitoring, yet existing lesion-based classification methods often fail to capture broader pathological changes beyond visible lesions. This research proposes an advanced severity classification framework leveraging multimodal MRI data (T1, T2, and FLAIR) and integrating both lesion-specific and non-lesion-specific attributes. The proposed approach

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Attaullah, Attaullah, Adil Khurshaid, Zeeshan Zeeshan, Sultan Alyobi, Mansour F. Yassen, and Din Prathumwan. "Computational Framework of the SVIR Epidemic Model with a Non-Linear Saturation Incidence Rate." Axioms 11, no. 11 (2022): 651. http://dx.doi.org/10.3390/axioms11110651.

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In this study, we developed an autonomous non-linear epidemic model for the transmission dynamics of susceptible, vaccinated, infected, and recovered individuals (SVIR model) with non-linear saturation incidence and vaccination rates. The non-linear saturation incidence rate significantly reduces the death ratio of infected individuals by increasing human immunity. We discuss a detailed explanation of the model equilibrium, its basic reproduction number R0, local stability, and global stability. The disease-free equilibrium is observed to be stable if R0<1, while the endemic equilibrium exi

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Kyaw, Ei Ei, Hongchan Zheng, and Jingjing Wang. "Stability and Hopf Bifurcation Analysis for a Phage Therapy Model with and without Time Delay." Axioms 12, no. 8 (2023): 772. http://dx.doi.org/10.3390/axioms12080772.

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This study proposes a mathematical model that accounts for the interaction of bacteria, phages, and the innate immune response with a discrete time delay. First, for the non-delayed model we determine the local and global stability of various equilibria and the existence of Hopf bifurcation at the positive equilibrium. Second, for the delayed model we provide sufficient conditions for the local stability of the positive equilibrium by selecting the discrete time delay as a bifurcation parameter; Hopf bifurcation happens when the time delay crosses a critical threshold. Third, based on the norm

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Adere, Endale Mitiku. "Toward a Definition of Blockchain: Analyzing Definitions to Propose a Definition." KNOWLEDGE ORGANIZATION 51, no. 6 (2024): 380–413. http://dx.doi.org/10.5771/0943-7444-2024-6-380.

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Definitions serve a range of purposes, including providing meaning to a term, describing the characteristics of an object being defined, eliminating any ambiguity about the meaning of a term, demonstrating the etymology of a word, and so on. However, scholars hold differing opinions on everything from the necessity of definitions to the very existence of definitions. This disagreement is evident in various definition theories, types, and methods. This article aims to provide a tentative definition of blockchain using the Aristotelian method of definition, after thoroughly examining existing de

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Gazzari, René. "Formal Theories of Occurrences and Substitutions." Bulletin of Symbolic Logic 28, no. 2 (2022): 261–63. http://dx.doi.org/10.1017/bsl.2021.53.

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AbstractGazzari provides a mathematical theory of occurrences and of substitutions, which are a generalisation of occurrences constituting substitution functions. The dissertation focusses on term occurrences in terms of a first order language, but the methods and results obtained there can easily be carried over to arbitrary kinds of occurrences in arbitrary kinds of languages.The aim of the dissertation is twofold: first, Gazzari intends to provide an adequate formal representation of philosophically relevant concepts (not only of occurrences and substitutions, but also of substitution funct

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Bai, Chengchao, Fei Lu, and Xibao Xu. "Hybrid BTT/STT missile autopilot design." Aircraft Engineering and Aerospace Technology 89, no. 6 (2017): 809–14. http://dx.doi.org/10.1108/aeat-05-2015-0134.

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Purpose Traditional skid-to-turn (STT) missile control mode is adopted mostly, but with the improvement of requirements for mobility and the emergence of new aerodynamic layout, a bank-to-turn (BTT) control mode gradually shows a greater advantage. However, the BTT missile also has certain defects, for example, when attacking against a maneuvering target and at the last section of guidance, the maximum lifting surface position of the missile needs to be adjusted frequently, thereby increasing the difficulty of control as well as introducing high-frequency noise. Design/methodology/approach Bas

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Louda, Souhaib, Nora Karkar, Fateh Seghir, and Oussama Boutalbi. "Fuzzy Dynamic Feedback Linearization for Efficient Mobile Robot Trajectory Tracking and Obstacle Avoidance in Autonomous Navigation." International Journal of Robotics and Control Systems 5, no. 2 (2025): 881–901. https://doi.org/10.31763/ijrcs.v5i2.1780.

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Mobile robots are increasingly used in various applications that require precise trajectory tracking and efficient obstacle avoidance. Dynamic Feedback Linearization (DFL) is powerful method, however, it’s has limitations such as increased computational requirements, model dependency, inability to avoid obstacles, and reduced robustness. In this paper, we address the challenges of trajectory tracking and obstacle avoidance for non-holonomic mobile robots in certain static environments subjected to the challenge of the robot to follow the reference trajectory accurately while avoiding the known

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Jaydeepsinh, C. Baria, Patel Kuldip, C. Dalwadi Darshankumar, and Dalwadi C. "High-Performance and Robust Field-Oriented Control of IPMSM Drive Over Wide Speed Operation by PI and Fuzzy Intelligent Controllers." Indian Journal of Science and Technology 16, no. 26 (2023): 1947–57. https://doi.org/10.17485/IJST/v16i26.776.

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Abstract <strong>Objectives:</strong> This paper simulates a high-performance PI and FLC-based controller for an IPMSM drive in which the speed should closely follow the reference speed and voltage-current trajectory with different conditions like load disturbance, variation in circuit parameters, and control strategy. In FOC, the PI and fuzzy controller are used for sliding mode control. This controller generates the d-axis current (Id) and q-axis current (Iq), which control the torque and magnetic field vector for each stator winding, so the speed of the motor can be effectively control

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ANTONIOU, GRIGORIS, and NEIL V. MURRAY. "Logical methods for computational intelligence." Knowledge Engineering Review 12, no. 4 (1997): 407–9. http://dx.doi.org/10.1017/s0269888997003056.

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Over the past years, two main approaches to computational intelligence have emerged: the symbolic and the non-symbolic approach. The perhaps most prominent methods of the symbolic approach are based on logic. Logical methods exhibit a series of desirable properties:[bull ] Transparent representation of meaning[bull ] Precise understanding of the meaning of statements (semantics).[bull ] Sound reasoning methods.[bull ] Explanation capabilities.A special session on logical methods for computational intelligence was held at the 3rd Joint Conference on Information Sciences. The field of computatio

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Fihakhir, Amine Mehdi, Guerbouz Abdesselam, and Azzaoui Mohammed. "3D industrial crane model: a comparative study of intelligent control strategies." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e10037. http://dx.doi.org/10.54021/seesv5n2-424.

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An overhead crane is a commonly used apparatus in industries and seaports for efficiently transporting, loading, and unloading large, heavy containers. This paper presents a 3D model of an overhead crane, referred to as the "3D Crane," and explores the application of two intelligent control strategies: Fuzzy Logic Control (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The 3D Crane model replicates the dynamics and non-linear behavior of real-world cranes, making it a suitable model for evaluating control systems. FLC is based on a rule-based approach, utilizing expert knowledge to ha

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Gubanov, Sergey A. "THE EPITHET COMPLEX IN THE PROSE OF MARINA TSVETAEVA: LINGUISTIC MECHANISMS OF FORMATION." IKBFU's Vestnik. Series: Humanities and Social Sciences, no. 1 (2025): 56–65. https://doi.org/10.5922/vestnikpsy-2025-1-5.

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The article examines the features of verbalizing the category of quality in Marina Tsvetaeva’s prose texts through the lens of the vectors of figurative semantics formation by means of epithet complexes. The purpose of the study is to identify the mechanisms of representing qualitative, attributive semantics in Marina Tsvetaeva’s idiolect. To achieve this goal, the following methods were employed: descriptive, component analysis, and cognitive-semantic analysis of linguistic units. Epithet complexes of metaphorical, metonymic, and metaphonymic types were analyzed, allowing the identification o

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Rogacz, Dawid. "Operating with Names: Operational Definitions in the Analects and Beyond." Dao 21, no. 1 (2022): 19–35. http://dx.doi.org/10.1007/s11712-021-09813-9.

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AbstractThe philosophy of Confucius has often been accused of lacking classical definitions of its core concepts. However, as I shall argue, Confucius systematically used nonclassical definitions—to be precise, operational ones. The notion of operational definition comes from Percy Bridgman’s The Logic of Modern Physics (Bridgman 1927) and means that the definiendum is defined by a set of operations that results in determining the meaning of the term in question. In the case of Confucian argumentation, operational definitions are mostly nominal and, in contrast to unambiguous methods of measur

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Ali, Nur Husnina Mohamad, Rozaimi Ghazali, Abdul Wafi Tahir, et al. "Enhanced Hybrid Robust Fuzzy-PID Controller for Precise Trajectory Tracking Electro-Hydraulic Actuator System." International Journal of Robotics and Control Systems 4, no. 2 (2024): 795–813. http://dx.doi.org/10.31763/ijrcs.v4i2.1407.

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The Electro-Hydraulic Actuator (EHA) system integrates electrical and hydraulic elements, enabling it to generate a rapid reaction, a high power-to-weight ratio, and significant stiffness. Nevertheless, EHA systems demonstrate non-linear characteristics and modeling uncertainties, such as friction and parametric uncertainty. Designing a controller for accurate trajectory tracking is greatly challenging due to these limitations. This paper introduces a hybrid robust fuzzy proportional-integral-derivative (HFPID) and (HF+PID) controller. The controller is designed to effectively control a third-

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Elbatanouny, Hagar, Natasa Kleanthous, Hayssam Dahrouj, et al. "Insights into Parkinson’s Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis." Sensors 24, no. 12 (2024): 3959. http://dx.doi.org/10.3390/s24123959.

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Parkinson’s Disease (PD) is a complex neurodegenerative disorder characterized by a spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait (FOG), which significantly impairs patients’ quality of life. Despite extensive research, the precise mechanisms underlying FOG remain elusive, posing challenges for effective management and treatment. This paper presents a comprehensive meta-analysis of FOG prediction and detection methodologies, with a focus on the integration of wearable sensor technology and machine learning (ML) approaches. Through an exhaustive review of

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Bran, Cristina, Jose Angel Fernandez-Roldan, Rafael P. del Real, Agustina Asenjo, Oksana Chubykalo-Fesenko, and Manuel Vazquez. "Magnetic Configurations in Modulated Cylindrical Nanowires." Nanomaterials 11, no. 3 (2021): 600. http://dx.doi.org/10.3390/nano11030600.

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Cylindrical magnetic nanowires show great potential for 3D applications such as magnetic recording, shift registers, and logic gates, as well as in sensing architectures or biomedicine. Their cylindrical geometry leads to interesting properties of the local domain structure, leading to multifunctional responses to magnetic fields and electric currents, mechanical stresses, or thermal gradients. This review article is summarizing the work carried out in our group on the fabrication and magnetic characterization of cylindrical magnetic nanowires with modulated geometry and anisotropy. The nanowi

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Alomair, Abdullah Mohammed, and Usman Shahzad. "Neutrosophic Mean Estimation of Sensitive and Non-Sensitive Variables with Robust Hartley–Ross-Type Estimators." Axioms 12, no. 6 (2023): 578. http://dx.doi.org/10.3390/axioms12060578.

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Under classical statistics, research typically relies on precise data to estimate the population mean when auxiliary information is available. Outliers can pose a significant challenge in this process. The ultimate goal is to determine the most accurate estimates of the population mean while minimizing variance. Neutrosophic statistics is a generalization of classical statistics that deals with imprecise, uncertain data. Our research introduces the neutrosophic Hartley–Ross-type ratio estimators for estimating the population mean of neutrosophic data, even in the presence of outliers. We also

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Bharati, S. K., and S. R. Singh. "Interval-Valued Intuitionistic Fuzzy Linear Programming Problem." New Mathematics and Natural Computation 16, no. 01 (2020): 53–71. http://dx.doi.org/10.1142/s1793005720500040.

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In many existing methods of linear programming problem (LPP), precise values of parameters have been used but parameters of LPP are imprecise and ambiguous due to incomplete information. Several approaches and theories have been developed for dealing LPP based on fuzzy set (FS), intuitionistic fuzzy set (IFS) which are characterized by membership degree, membership and non-membership degrees, respectively. It’s interesting to note that single membership and non-membership degrees do not deal properly the state of uncertainty and hesitation. Further, we face a kind of uncertainty occurs a kind

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Puchkov, Andrii. "Artistic Language of Contemporary as a Form of Visual Zaum: to the Problem Statement." Bulletin of KNUKiM. Series in Arts, no. 45 (December 17, 2021): 23–33. https://doi.org/10.31866/2410-1176.45.2021.247339.

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The purpose of the article is to offer consideration of the visual and mental nature of the projects of contemporary as a kind of form of visual zaum. Research methodology: the mechanism for undertaking the research lies in the logical and conceptual disclosure of the conditions for the existence of visual forms of contemporary as creative methods of the artist's realisation of common sense through “beyonsense”. The study is based on the deductive and inductive methods and is focused on revealing contradictions and demonstrating an interdisciplinary comparative approach to iden

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Nawari. "A Generalized Adaptive Framework (GAF) for Automating Code Compliance Checking." Buildings 9, no. 4 (2019): 86. http://dx.doi.org/10.3390/buildings9040086.

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Building design review is the procedure of checking a design against codes and standard provisions to satisfy the accuracy of the design and identify non-compliances before construction begins. The current approaches for conducting the design review process in an automatic or semi-automatic manner are either based on proprietary, domain-specific or hard-coded rule-based mechanisms. These methods may be effective in their specific applications, but they have the downsides of being costly to maintain, inflexible to modify, and lack a generalized framework of rules and regulations modeling that c

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Nikolić, Dušan. "On the division of things into immovable and movable." Zbornik radova Pravnog fakulteta, Novi Sad 59, no. 1 (2025): 1–21. https://doi.org/10.5937/zrpfns59-57620.

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Legal theory has long been dominated by the opinion that immovable things are those that cannot be moved from one place to another without damaging their essence. Scientific achievements and technical progress have made that traditional notions anachronistic. There are devices, equipment and processes that make it possible to transmit what once could not be transmitted without breaking it down into components (elements). Of essential importance is not the possibility of physical transfer of thing, but the determination of its place, i.e., locating (locus). According to the laws of classical ph

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Mahmoud, Mervat Mohamed Adel, and Nahla Elazab Elashker. "Novel Integer Division for Embedded Systems: Generic Algorithm Optimal for Large Divisors." Applied and Computational Mathematics 13, no. 4 (2024): 83–93. http://dx.doi.org/10.11648/j.acm.20241304.12.

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The integer Constant Division (ICD) is the type of integer division in which the divisor is known in advance, enabling pre-computing operations to be included. Therefore, it can be more efficient regarding computing resources and time. However, most ICD techniques are restricted by a few values or narrow boundaries for the divisor. On the other hand, the main approaches of the division algorithms, where the divisor is variable, are digit-by-digit and convergence methods. The first techniques are simple and have less sophisticated conversion logic for the quotient but also have the problem of t

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Rufaro, Chipo Phiri, Meh Nge Deris, and Suzanne Ayonghe Lum. "The impact of English-Shona translation of adverts on consumer attitudes in Zimbabwe." GPH-International Journal of Educational Research 7, no. 12 (2024): 15–31. https://doi.org/10.5281/zenodo.14566512.

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Abstract This study aims to explore and investigate translation procedures and how linguistic and cultural adaptation affects communication and marketing outcomes on consumer attitudes and behaviors in Zimbabwe. To answer pertinent questions, the study adopted a mixed-method research design, combining qualitative corpus analysis and quantitative data from questionnaires. Two different questionnaires were administered to different groups, and English-to-Shona translated adverts were collected. The study made use of participant observation and responses from both company representatives and cons

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Omeed, M. Memar MD PhD, Caughlin MD Benjamin, and Djalilian MD Hamid. "Low Level Laser Treatment for Patterned Hair Loss: A Systematic Review." Archives of Dermatology and Skin Care 1, no. 2 (2018): 20–24. https://doi.org/10.5281/zenodo.2250507.

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  <strong>LOW LEVEL LASER TREATMENT FOR PATTERNED HAIR</strong><strong> LOSS: A    SYSTEMATIC REVIEW</strong>   Omeed Memar<sup>1*</sup>, Benjamin Caughlin<sup>2</sup>, Hamid Djalilian<sup>3</sup> 1 Academic Dermatology & Skin Cancer Institute, Chicago, Illinois 2 Department of Surgery / Division of Otolaryngology, John H. Stroger, Jr. Hospital of Cook County, Chicago, Illinois. Division of Facial Plastic and Reconstructive Surgery, Jesse Brown VAMC, Chicago, Illinois. Division of Facial Plastic and Reconstructive Surgery, University of Illinois Health Hospital Sys

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Xie, Xiaodong, Yue Liu, Mengwei Li, Fengying Pang, and Chao Yi. "Deep learning-based vibration control of vehicle suspension on non-Gaussian roads using fuzzy logic." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, July 15, 2025. https://doi.org/10.1177/09544062251341754.

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This paper presents an advanced vibration control method for vehicle suspension systems operating on non-Gaussian random road surfaces. The proposed approach integrates deep learning for precise road surface recognition with fuzzy logic control to dynamically adjust the suspension system’s stiffness and damping parameters. A dynamic model of the suspension system is developed, capturing the non-linear characteristics of the vehicle’s response to external disturbances. The deep learning model, based on Convolutional Neural Networks (CNN), predicts road surface conditions, including slope and cu

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Timorian, Safiullah, Michael Valásek, Neusser Zdeněk, and Nejat Olgac. "Design of active undamped and damped resonant absorber with guaranteed stability." Advances in Mechanical Engineering 17, no. 7 (2025). https://doi.org/10.1177/16878132251353569.

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This paper deals with the development of a feedback control strategy on a SDoF (Single Degree of Freedom) absorber. It is desired to be resonant at two arbitrarily selected frequencies so that it suppresses vibration of primary system at these two frequencies. This problem has already been treated using time-delayed feedback control logic, which brings infinite dimensionality into the treatment. This paper offers a non-delayed feedback control logic with some additional benefits. It handles three facts of the problem: (a) the creation of a feedback logic to achieve resonance at two arbitrarily

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Li, Dong, Ruijuan Qi, Pengfei Zhu, et al. "Controllable carrier transfer modulation of ambipolar van der Waals semiconductors toward forksheet FETs." Applied Physics Letters 124, no. 21 (2024). http://dx.doi.org/10.1063/5.0197266.

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The imperative for continuous device miniaturization has heightened the need for logic reconfigurability due to its benefits in circuit design simplification and process optimization. Van der Waals ambipolar transistors, notable for their inherent reconfigurable characteristics, have garnered significant interest for their potential to revolutionize information electronics. Nevertheless, as the semiconductor thickness approaches the 3-nm mark, precise modulation of electrical polarity presents a considerable challenge as minor variations in thickness can lead to significant electrical disparit

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Granata, Consuelo, Philippe Bidaud, Joseph Salini, and Ragou Ady. "Human activity analysis: a personal robot integrating a framework for robust person detection and tracking and physical based motion analysis." Paladyn, Journal of Behavioral Robotics 4, no. 2 (2013). http://dx.doi.org/10.2478/pjbr-2013-0011.

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AbstractThe analysis of certain parameters related to cognitive and to motor humans’ activities in everyday life conditions can allow to detect potential behavioral troubles, make diagnoses and assess patients’ progress after a therapy. Within this context, personal robots can provide an autonomous movable platform for embedded sensors allowing to detect and track humans while ensuring an optimal observability of the person’s activity in complex and cluttered environments. This paper presents a framework combining a multimodal human detector based on sensors embedded in a mobile robot and a de

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Sadouni, Radhwane, M’hamed Sahnoun, Ilyes Zababe, and Hassen Reghioui. "Direct Torque Control of Dual Three Phase Induction Motor fed by Direct Power Control Rectifier using Fuzzy Logic Speed Controller." Science, Engineering and Technology 5, no. 1 (2025). https://doi.org/10.54327/set2025/v5.i1.173.

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This paper presents an advanced Direct Torque Control (DTC) approach for a Dual Three-Phase Induction Motor (DTPIM) powered by a Direct Power Control (DPC) rectifier. Traditional control methods, such as Proportional-Integral-Derivative (PID) controllers, often face performance issues when motor system parameters vary or exhibit non-linearity. To tackle these challenges, we propose a fuzzy logic-based speed controller for DTC, which enhances adaptability to system dynamics without necessitating a precise mathematical model. The fuzzy logic controller (FLC) is particularly effective in regulati

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Arava, Mohan, and Divya Meena Sundaram. "Multi‐Fatigue Feature Selection and Fuzzy Logic‐Based Intelligent Driver Drowsiness Detection." IET Image Processing 19, no. 1 (2025). https://doi.org/10.1049/ipr2.70052.

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ABSTRACTDriver drowsiness poses a critical threat, frequently resulting in highly perilous traffic accidents. The drowsiness detection is complicated by various challenges such as lighting conditions, occluded facial features, eyeglasses, and false alarms, making the accuracy, robustness across environments, and computational efficiency a major challenge. This study proposes a non‐intrusive driver drowsiness detection system, leveraging image processing techniques and advanced fuzzy logic methods. It also introduces improvements to the Viola‐Jones algorithm for swift and precise driver face, e

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Lobovikov, Vladimir O. "Synthesizing Normal and Non-Normal Modal Logics in Philosophical Epistemology Axiomatic System Modeled by the Logic Square and Hexagon of Opposition." Journal of Siberian Federal University. Humanities & Social Sciences, May 2019, 894–907. http://dx.doi.org/10.17516/1997-1370-0336.

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The paper aims at coping with the difficult problem of rationally uniting astonishingly huge amount of qualitatively different modal logics. For realizing this aim artificial languages of symbolic logic and the axiomatic methodology are used. Therefore, the method of constructing and studying formal logic inferences within the axiom system under investigation is exploited systematically. Inventing and elaborating a hitherto not-considered axiomatic system of epistemology uniting normal and not-normal modal logics is the new nontrivial scientific result of this work. History of philosophy and s

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Aluş Tokat, M. "O-016 Hypnofertility for reducing stress and increasing fertility preparedness." Human Reproduction 36, Supplement_1 (2021). http://dx.doi.org/10.1093/humrep/deab125.065.

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Abstract text Using systematic, holistic and knowledge-based approaches for support the couples by nurses may be effective in reducing stress and increasing pregnancy outcomes, Hypnofertility is one of the methods that can help in reducing stress and increase fertility preparedness of couples. This program was first formed in 2013 by the HypnoBirthing Institute trainer, Sherry Gilbert. Its basic principle is that fertility is a natural function. The program is based on powerful and effective mind-body interaction. Mind consciously or unconsciously records all of our experiences and external me

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Guillaume, Koum. "Geo-Ontology and Geographical Information System Extended by a first-order logic language: Application to malaria control." September 28, 2012. https://doi.org/10.5121/ijbb.2012.2301.

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International Journal on Bioinformatics & Biosciences (IJBB) Vol.2, No.3, September 2012 DOI : 10.5121/ijbb.2012.2301 1 Geo-Ontology and Geographical Information System Extended by a first-order logic language: Application to malaria control Guillaume Koum[1]Josiane Etang [2],[3] [1] Département d’Informatique. Ecole Nationale Supérieure Polytechnique. B.P. 8390 Yaoundé, Cameroun g_koum@yahoo.fr [2] Organisation de Coordination pour la lutte contre les Endémies en Afrique Centrale B.P. 288 Yaoundé, Cameroun [3] Faculté de Médecine et d

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Taimy, Rimsa, and Shafiullah Shafiullah. "Reduction of Non-Productive Time in Apparel Manufacturing: A Garment Factory Case." International Journal of Textile Engineering and Management, March 30, 2025, 29. https://doi.org/10.63261/ijtem116.

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Garment manufacturers constantly seek methods to improve efficiency and productivity. Thus, the study was undertaken to identify non-productive time (NPT) and analyze the root causes. The effect of NPT on productivity standard minute value, labor efficiency, and targets was also analyzed in an apparel manufacturing unit of Bangladesh. The study discusses various approaches to reduce NPT. These include applying time study why-why-bacause of logic (WWBLA), fishbone techniques to minimize the NPT of cutting and sewing process, and detecting the reason for NPT through root cause analysis and the p

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de Koning, Christopher, and Anahita Jamshidnejad. "Hierarchical Integration of Model Predictive and Fuzzy Logic Control for Combined Coverage and Target-Oriented Search-and-Rescue via Robots with Imperfect Sensors." Journal of Intelligent & Robotic Systems 107, no. 3 (2023). http://dx.doi.org/10.1007/s10846-023-01833-2.

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AbstractSearch-and-rescue (SaR) in unknown environments is a crucial task with life-threatening risks. SaR requires precise, optimal, and fast decisions to be made. Robots are promising candidates expected to execute various SaR tasks autonomously. While humans use heuristics to effectively deal with uncertainties of SaR, optimisation of multiple objectives (e.g., the mission time, the area covered, the number of victims detected), in the presence of physical and control constraints, is a mathematical challenge that requires machine computations. Thus including both human-inspired and mathemat

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