Relevant bibliographies by topics / Neutrosophic modal logic

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Academic literature on the topic 'Neutrosophic modal logic'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Neutrosophic modal logic"

1

Smarandache, Florentin. "Neutrosophic Modal Logic." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 10, no. 2 (2019): 26. https://doi.org/10.70594/brain/v10.i2/3.

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<p>We introduce now for the first time the neutrosophic modal logic. The Neutrosophic Modal Logic includes the neutrosophic operators that express the modalities. It is an extension of neutrosophic predicate logic and of neutrosophic propositional logic.</p>
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2

De, Soumitra, and Jaydev Mishra. "Neutrosophic Logic - A Better Approach to Execute Imprecise Queries Through the Neutrosophic Database Model." Indian Journal Of Science And Technology 17, no. 29 (2024): 2981–91. http://dx.doi.org/10.17485/ijst/v17i29.673.

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Objectives: The neutrosophic set has a more powerful ability to process imprecise information compared to the vague set. The objective of the authors is to process the uncertain query using vague as well as neutrosophic logic and compare the result. Methods: Authors have designed a new architecture to process uncertain queries using vague as well as neutrosophic sets. In the architecture at first, the imprecise query has been taken as input. From the inputted imprecise query uncertain data and fuzzy attributes are identified. Next, using the truth membership algorithm the truth membership valu
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Calefariu, Emilia, Mircea Boșcoianu, Florentin Smarandache, and Traian Alexandru Buda. "Neutrosophic Modeling of Investment Architectures." Applied Mechanics and Materials 657 (October 2014): 1011–15. http://dx.doi.org/10.4028/www.scientific.net/amm.657.1011.

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Despite numerous attempts to refocus traditional bivalent logic, usually, logic is tributary by keeping fixed limits for truth or false. An alternative answer to this need is the system of Neutrosophy, and its connected logic, Neutrosophic Logic, presented in the work of the authors W. B. Vasantha Kandasamy and Florentin Smarandache. Neutrosophy is a new branch of philosophy that studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. We are surrounded by indeterminacy, which can be pointed in any situation that, from one point of
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Sert, Eser, and Ahmet Alkan. "Image Edge Detection Based on Neutrosophic Set Approach Combined with Chan–Vese Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 03 (2019): 1954008. http://dx.doi.org/10.1142/s0218001419540089.

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Since edge detection is a field of study used by various disciplines, it is of vital importance to calculate it accuretly. In addition, an edge detection algorithm may be involved in many image processing phases. A recent and contemporary approach, neutrosophy is based on neutrosophic logic, neutrosophic probability, neutrosophic set and neutrosophic statistics. This method yields better results compared to various other optimization methods. Neutrosophic Set (NS) is based on the origin, nature and scope of neutralities. In NS, problems are separated into true, false and indeterminacy subsets.
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Yasser, Ibrahim, Aya A. Abd El-Khalek, A. A. Salama, and Doaa A. Abdo. "Neutrosophic Cox Proportional Hazards Model for Robust Variable Selection in Survival Analysis." Neutrosophic Systems with Applications 24 (December 1, 2024): 1–17. https://doi.org/10.61356/j.nswa.2024.24409.

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This paper introduces a novel approach for variable selection in survival analysis by integrating neutrosophic logic into the Cox Proportional Hazards (Cox PH) model to address the limitations of recent studies related to high dimensionality. Neutrosophic logic, is a mathematical framework that allows for uncertainty, indeterminacy, and inconsistency, and particularly well suited for handling the complexity and often-ambiguous nature of biological data. By incorporating neutrosophic sets into the Cox PH model, we aim to enhance model robustness, improve variable selection, and address the curs
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E., E., Ranokhon Sharofutdinova, Aleksey Ilyin, K. Shankar, and E. Laxmi Lydia. "An Intelligent Decision Support Systems for Financial Fraud Detection Using Pythagorean Neutrosophic Bonferroni Mean Approach with Machine Learning Models." International Journal of Neutrosophic Science 25, no. 4 (2025): 218——229. https://doi.org/10.54216/ijns.250418.

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Neutrosophy has developed as a generalization to fuzzy logic and is being employed in the research field in many areas such as set theory, logic, and others. Neutrosophic Logic is one of the neonate study regions and its intention is assessed to have the percentage of truth in a subset T, the percentage of falsity in a subset F, and the percentage of indeterminacy in a subset I. Recently, financial fraud has become a highly major issue, which results in severe consequences across firm sectors and affects people’s everyday lives. Therefore, financial fraud recognition is critical for the preven
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Paraskevas, Antonios, and Michael Madas. "A Neutrosophic Model for Measuring Evolution, Involution, and Indeterminacy in Species: Integrating Common and Uncommon Traits in Environmental Adaptation." Neutrosophic Systems with Applications 23 (November 1, 2024): 23–32. http://dx.doi.org/10.61356/j.nswa.2024.23400.

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In 2017, Professor F. Smarandache introduced the Neutrosophic Theory of Evolution, Involution, and Indeterminacy (or Neutrality) (NToEIaI). He concluded that every theory of evolution is characterized by a certain degree of truth, indeterminacy, and untruth, as in neutrosophic logic. In this perspective, he raised several open questions on evolution, neutrality, and involution that required further research effort. Very recently, in 2024, Smarandache conducted research, from a soft sciences/philosophical viewpoint, on identifying and studying common parts in uncommon things and uncommon parts
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Kadali, Dileep Kumar, R. N. V. Jagan Mohan, and M. Chandra Naik. "Software Reliability Model Estimation for an Indeterministic Crime Cluster through Reinforcement Learning." Neutrosophic Systems with Applications 17 (May 2, 2024): 47–58. http://dx.doi.org/10.61356/j.nswa.2024.17246.

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The software reliability model estimates the probability of data failure in a specific environment, significantly impacting reliability and trustworthiness. The paper study focuses on cluster crime data, i.e., indeterministic in Neutrosophic Logic, using a software reliability model. The study utilizes reinforcement learning, Neutrosophic logic, and non-homogeneous Poisson process crime data to estimate indeterministic cluster data in crime. The "Non-homogeneous Poisson Process with Neutrosophic Logic" technique performs well in evaluating and deterring crime based on crime data analysis. The
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Abdelgalal, Abdelgalal, Abdelgalal O. I. Abaker, Sayed Abdel Abdel-Khalek, Fahad Mohammed Alhomayani, and M. Aripov. "Neutrosophic Logic Empowered Machine Learning Algorithm with Salp Swarm Optimization for Biomedical Image Analysis." International Journal of Neutrosophic Science 23, no. 4 (2024): 104–16. http://dx.doi.org/10.54216/ijns.230408.

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Leukemia recognition and classification contain the identification of dissimilar kinds of leukemia, a group of blood cancers that affects the bone marrow and blood. A classical model containing microscopic analysis of blood smears to classify abnormal cells analytic of leukemia. Leukemia recognition employing a united technique of neutrosophic logic and deep learning (DL) signifies a new and complete approach to handling uncertainty and difficulty in medical data. Neutrosophic logic permits the representation of unstated or imperfect data, which is general in medical analyses. DL mainly convol
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10

Soumitra, De, and Mishra Jaydev. "Neutrosophic Logic - A Better Approach to Execute Imprecise Queries Through the Neutrosophic Database Model." Indian Journal of Science and Technology 17, no. 29 (2024): 2981–91. https://doi.org/10.17485/IJST/v17i29.673.

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Abstract <strong>Objectives:</strong>&nbsp;The neutrosophic set has a more powerful ability to process imprecise information compared to the vague set. The objective of the authors is to process the uncertain query using vague as well as neutrosophic logic and compare the result.&nbsp;<strong>Methods:</strong>&nbsp;Authors have designed a new architecture to process uncertain queries using vague as well as neutrosophic sets. In the architecture at first, the imprecise query has been taken as input. From the inputted imprecise query uncertain data and fuzzy attributes are identified. Next, usin
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Book chapters on the topic "Neutrosophic modal logic"

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Karadayi-Usta, Saliha. "The Role of the Paper Packaging Industry in the Circular Economy." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch027.

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The circular economy movement has paved the way for the sustainable supply chains with its nature-friendly structure via recycling and repeated use of products. Hence, this study aims to determine the factors affecting the paper packaging industry in the circular economy in order to provide a conceptual model of the cause-and-effect relationships through neutrosophic cognitive mapping. Paper packaging machinery manufacturer Windmöller &amp; Hölscher's representatives have been in-depth interviewed to gather their opinions. Since there are some relations that cannot be determined (i.e., existen
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Hussain S., Satham, Jahir Hussain R., Isnaini Rosyida, and Said Broumi. "Quadripartitioned Neutrosophic Soft Graphs." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch034.

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The neutrosophic quadripartitioned soft model is a hybrid model by combining neutrosophic soft sets with quadripartitioned sets. This work concerns with the quadripartitioned neutrosophic soft graphs for treating neutrosophic soft information by employing the theory of quadripartitioned neutrosophic soft sets with graphs. Operations like Cartesian product, cross product, lexicographic product, and strong product of quadripartitioned neutrosophic soft graphs are established. The proposed concepts are explained with examples.
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Voskoglou, Michael Gr, Joachim Feuerstein, and Evangelos Athanassopoulos. "Use of Soft and Neutrosophic Sets for a Mathematical Representation of the Ethical Rules." In NeutroGeometry, NeutroAlgebra, and SuperHyperAlgebra in Today's World. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-4740-6.ch005.

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Soft and neutrosophic sets are used in this chapter as tools for introducing a multi-valued logic for ethics. The introduction of a multi-valued logic in ethics is not a new idea, but there is not any integrated proposal about this reported in the literature until now. The target is not to add another theory about ethics, but instead to create a new basis enabling a modern approach to the subject. The chapter starts by examining the role of human logic and statistical thinking for the creation and evolution of ethics. A brief historical account of the development of ethics follows with emphasi
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Rajeswari, S., Sugapriya C., Nagarajan Deivanayagam Pillai, Said Broumi, and Florentin Smarandache. "Application of Triangular Fuzzy Neutrosophic Number to an Effective Economic Order Quantity Model." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch029.

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The advance payment of acquiring cost is mostly encouraged by both supplier and retailer in current situations. This chapter discusses the economic order quantity model with multiple payments of acquiring cost in advance at equal intervals. The current research examines two-warehouse economic order quantity model with imperfect items under neutrosophic environment by considering the proportion of defective product as triangular fuzzy neutrosophic number. An inventory model is framed, and the proposed model is formulated under triangular neutrosophic environment. The expected total profit and t
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Ding, Juanjuan, Wenhui Bai, Chao Zhang, Deyu Li, and Said Broumi. "A New Neutrosophic Multigranulation Model for Multi-Attribute Group Decision Making." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch024.

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Neutrosophic theories and methods are suitable for handling a variety of uncertain information, especially in complex decision-making situations. Nowadays, how to study multi-attribute group decision-making (MAGDM) problems in neutrosophic environments is a vital task for scholars and practitioners. Granular computing is a popular mathematical framework for uncertain problems, and it has been proved as a useful tool for solving MAGDM problems. In this chapter, a new neutrosophic multigranulation model for MAGDM is proposed, and some theoretical models and decision-making algorithms are present
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Debnath, Somen. "Inverse Single-Valued Neutrosophic Soft Set and Its Application." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch032.

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Single-valued neutrosophic set (SVNS) can be viewed as an instance of the neutrosophic set (NS) proposed by Smarandache in 2005 to solve real decision-making problems that contain imperfect knowledge of the domain. Embedding the idea of SVNS with the soft set (SS), a new mathematical structure known as a single-valued neutrosophic soft set (SVNSS) is introduced to model the vague concept parametrically. In this chapter, the authors introduce a new soft model, namely inverse single-valued neutrosophic soft set (ISVNSS), that can be perceived as another mathematical model which is used to solve
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Karadayi-Usta, Saliha. "A Novel Neutrosophic Interpretive Structural Modeling Approach." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch026.

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Interpretive structural modeling is of paramount importance in barrier/risk/challenge analysis as a hierarchical visual map by emphasizing the root cause of the problems. It asks expert opinions to evaluate the causal relationships of identified variables. However, in many cases experts cannot determine a relationship or can be doubtful about stating an idea. In the meantime, the neutrosophic cognitive mapping provides a step-by-step guidance in order to deal with the indeterminate relationships. Therefore, this study aims to propose a neutrosophic ISM approach and to implement it for the medi
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Miriam, M. Renee, Nivetha Martin, Akbar Rezaei, and Seyyed Ahmad Edalatpanah. "Neutrosophic Inventory Model With Coordinated Rework Stations and Distribution Centers With Ant Colony Optimization." In Advances in Chemical and Materials Engineering. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3204-7.ch011.

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In the realm of supply chain management, achieving optimal inventory control and efficient rework processes within distribution centers are critical for maintaining competitiveness and customer satisfaction. This chapter introduces an approach that integrates a neutrosophic inventory model (NIM) with coordinated rework stations and distribution centers, bolstered by ant colony optimization (ACO). Coordinated rework stations within distribution centers aim to minimize cycle times and improve product quality. ACO, inspired by the foraging behavior of real ants, is employed to adaptively optimize
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