Rough Neutrosophic Digraphs with Application

A rough neutrosophic set model is a hybrid model which deals with vagueness by using the lower and upper approximation spaces. In this research paper, we apply the concept of rough neutrosophic sets to graphs. We introduce rough neutrosophic digraphs and describe methods of their construction. Moreover, we present the concept of self complementary rough neutrosophic digraphs. Finally, we consider an application of rough neutrosophic digraphs in decision-making

ETHNOBOTANICAL AND BIOLOGICAL ACTIVITIES OF Leptadenia pyrotechnica (Forssk.) Decne.: A REVIEW

Background: Leptadenia pyrotechnica is traditionally used for treating various diseases. This species holds variety of bioactive constituents that trigger healing properties. The present review was aimed to analyze nutritional, phytochemical and pharmacological activities of L. pyrotechnica. Materials and Methods: The present review regarding Leptadenia pyrotechnica (Forssk.) Decne. Is the compilation of data from the previous research works conducted by various scientists across the world. Various published papers, medicinal plant databases,etc were utilized to compile the information. Results: L. pyrotechnica is a wonderful desert plant belongs to the family Asclepiadaceae This plant possesses antifungal, antibacterial, anticancer, antioxidant, wound healing, anthelmintic, antiatheroscloretic, hypolipidemic, antdiabetic and hepatoprotective activities coupled with other multifarious uses. Almost all plant parts are used in the traditional medicinal system to treat various disorders. Conclusion: This review includes the substance of different ethnobotanical uses, phytochemistry and exclusive capability of this plant in the field of anti-microbial and human disease activities

Decision-Making Approach Based on Neutrosophic Rough Information

Rough set theory and neutrosophic set theory are mathematical models to deal with incomplete and vague information. These two theories can be combined into a framework for modeling and processing incomplete information in information systems. Thus, the neutrosophic rough set hybrid model gives more precision, flexibility and compatibility to the system as compared to the classic and fuzzy models. In this research study, we develop neutrosophic rough digraphs based on the neutrosophic rough hybrid model. Moreover, we discuss regular neutrosophic rough digraphs, and we solve decision-making problems by using our proposed hybrid model. Finally, we give a comparison analysis of two hybrid models, namely, neutrosophic rough digraphs and rough neutrosophic digraphs

Notions of Rough Neutrosophic Digraphs

[-3]Graph theory has numerous applications in various disciplines, including computer networks, neural networks, expert systems, cluster analysis, and image capturing. Rough neutrosophic set (NS) theory is a hybrid tool for handling uncertain information that exists in real life. In this research paper, we apply the concept of rough NS theory to graphs and present a new kind of graph structure, rough neutrosophic digraphs. We present certain operations, including lexicographic products, strong products, rejection and tensor products on rough neutrosophic digraphs. We investigate some of their properties. We also present an application of a rough neutrosophic digraph in decision-making