Journal of Neutrosophic and Fuzzy Systems

In this paper, we are concerned with truncated distributions that have multiple truncations,  due to being very useful in representing natural phenomena that cannot be studied at all intervals of their growth or development, for example, phenomena that are related to Agriculture, airplanes, health, and the environment.  left truncation is utilized in this study. The statistical characteristics, such as the rth moments, moment generating function, order statistics,  reliability function, hazard rate function, and reversed  Hazard function, have been introduced. triple left truncated exponential distribution has been applied.  Employed the maximum likelihood method to estimate. Also, the performance of triple left truncated exponential distribution was tested by calculating some statistical criteria and testing the goodness of fit for distribution, with comparisons between the distributions and testing them on real data for patients infected with covid-19.

Numerous frameworks have been developed to address uncertainty in various domains. Among the most prominent are Fuzzy Sets, Rough Sets, Hyperrough Sets, Vague Sets, Intuitionistic Fuzzy Sets, Neutrosophic Sets, Plithogenic Sets, as well as other emerging theories that continue to be actively explored. These concepts for handling uncertainty have also been studied in the context of educational applications. In this paper, we provide formal mathematical definitions for the Fuzzy Education Process and the Neutrosophic Education Process. These educational process frameworks are applicable in a wide range of contexts, including secondary education, corporate training programs, and beyond.

The aim of this paper is to introduce the concept of fuzzy neutrosophic boundary and fuzzy neutrosophic semi-boundary of a fuzzy neutrosophic topological space. Some characterization are discussed. Several examples and properties are obtained.The aim of this paper is to introduce the concept of fuzzy neutrosophic boundary and fuzzy neutrosophic semi-boundary of a fuzzy neutrosophic topological space. Some characterization are dis- cussed.Several examples and properties are obtained.

Numerous frameworks have been developed to address uncertainty in various domains. Among the most prominent are Fuzzy Sets,26 Rough Sets,15 Intuitionistic Fuzzy Sets,4 Hesitant Fuzzy Sets,23 Neutrosophic Sets,3 as well as other emerging theories that continue to be actively explored. Supply Chain Management (SCM) involves planning, coordinating, and optimizing the flow of goods, information, and finances across the entire supply network.9, 16 In this paper, we introduce rigorous Mathematical Frameworks for Fuzzy Supply Chain Management (FSCM) and Neutrosophic Supply Chain Management (NSCM). We hope that these formulations will foster further advances in both supply chain optimization and the development of Fuzzy Set and Neutrosophic Set-based models.

Fuzzy sets, intuitionistic fuzzy sets, neutrosophic sets, plithogenic sets, and other uncertainty handling frameworks are the subject of intensive daily research. Analogous investigations have been pursued in the contexts of graphs, hypergraphs, and superhypergraphs. In this paper, we introduce new definitions of the hyperfuzzy hypergraph and superhyperfuzzy hypergraph, which extend the notion of the fuzzy hypergraph. We also revisit and refine the concepts of the hyperfuzzy graph and the superhyperfuzzy graph.