Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability
In this paper, we introduce for the first time the notions of neutrosophic measure and neutrosophic integral, and we develop the 1995 notion of neutrosophic probability. We present many practical examples. It is possible to define the neutrosophic measure and consequently the neutrosophic integral and neutrosophic probability in many ways, because ...
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The Flow chart represents a model for the selection of optimized diagnostic approach for cardio vascular diseases. This novel model follows the concept of computational process incorporated with novel aggregation operators that are more flexible in nature.
M. Ameer +3 more
wiley +1 more source
Neutrality and Many-Valued Logics [PDF]
In this book, we consider various many-valued logics: standard, linear, hyperbolic, parabolic, non-Archimedean, p-adic, interval, neutrosophic, etc. We survey also results which show the tree different proof-theoretic frameworks for many-valued logics, e.
Schumann, Andrew, Smarandache, Florentin
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Introduction To Neutrosophic Measure, Neutrosophic Integral, And Neutrosophic Probability
Neutrosophic Science means development and applications of neutrosophic logic/set/measure/integral/probability etc. and their applications in any field.
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Anomaly Detection in an Open Set Environment Using Reinforcement Learning
In this research, we attempt to develop unknown anomaly detection models using a large‐scale unlabeled dataset and a limited number of partially labeled anomalies, addressing an important but mostly unsolved anomaly detection problem. This is a common situation in many important applications.
Dharani Kanta Roy +2 more
wiley +1 more source
A Neutrosophic Monte Carlo Framework for Modeling Indeterminate Participation and Cultural Impact in Tourism Service Quality of Ethnic Sports Events [PDF]
Ethnic sports tourism involves complex cultural, social, and economic interactions, where uncertainty arises not only from randomness but also from incomplete and contradictory information. Classical probability models cannot fully capture these features.
Chaolumen Ge, Xuelian Liu
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Neutrosophic and Modal Components of Relations in Complex Systems [PDF]
Semiotic components in the relations of complex systems depend on the Subject. There are two main semiotic components: Neutrosophic and Modal. Modal components are alethical and deontical.
Nescolarde-Selva, Josué Antonio +1 more
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Fixed Point Results for Geraghty Type Contraction Mapping in Neutrosophic b‐Metric Spaces
In this article, we introduce the C‐triangular property and develop a new class of Geraghty‐type contractions within the framework of neutrosophic b‐metric spaces. These tools allow us to derive several new fixed point theorems that not only generalize the classical results but also provide a unified approach to various existing contraction principles.
M. Pandiselvi +3 more
wiley +1 more source
A New Neutrosophic Confidence Density Model for Statistical Effectiveness Evaluation in Highway and Bridge Project Internal Control [PDF]
This paper proposes a new mathematical model in the field of neutrosophic probability and statistics, called the Neutrosophic Confidence Density Function (NCDF).
Shuai Huang, Kesong Zhu
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The Combination of Paradoxical, Uncertain, and Imprecise Sources of Information based on DSmT and Neutro-Fuzzy Inference [PDF]
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems ...
Dezert, Jean, Smarandache, Florentin
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