Name: Single-Valued Neutrosophic Graphs (Infosys Science Foundation Series) (en Inglés)
Price: 318.68 PEN
Availability: InStock
Author: Muhammad Akram
ISBN: 9789811335211

portada Single-Valued Neutrosophic Graphs (Infosys Science Foundation Series) (en Inglés)

Single-Valued Neutrosophic Graphs (Infosys Science Foundation Series) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Muhammad Akram

Año

2018

Idioma

Inglés

N° páginas

373

Encuadernación

Tapa Dura

ISBN13

9789811335211

N° edición

2018

Categorías

Matemáticas aplicadas

Single-Valued Neutrosophic Graphs (Infosys Science Foundation Series) (en Inglés)

Muhammad Akram (Autor) · Springer · Tapa Dura

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Reseña del libro "Single-Valued Neutrosophic Graphs (Infosys Science Foundation Series) (en Inglés)"

This book addresses single-valued neutrosophic graphs and their applications. In addition, it introduces readers to a number of central concepts, including certain types of single-valued neutrosophic graphs, energy of single-valued neutrosophic graphs, bipolar single-valued neutrosophic planar graphs, isomorphism of intuitionistic single-valued neutrosophic soft graphs, and single-valued neutrosophic soft rough graphs.Divided into eight chapters, the book seeks to remedy the lack of a mathematical approach to indeterminate and inconsistent information. Chap. 1 presents a concise review of single-valued neutrosophic sets, while Chap. 2 explains the notion of neutrosophic graph structures and explores selected properties of neutrosophic graph structures. Chap. 3 discusses specific bipolar neutrosophic graphs. Chap. 4 highlights the concept of interval-valued neutrosophic graphs, while Chap. 5 presents certain notions concerning interval-valued neutrosophic graph structures. Chap. 6 addresses the concepts of rough neutrosophic digraphs and neutrosophic rough digraphs. Chap. 7 focuses on the concepts of neutrosophic soft graphs and intuitionistic neutrosophic soft graphs, before Chap. 8 rounds out the book by considering neutrosophic soft rough graphs.