Graphs for the analysis of bipolar fuzzy information

Bibliographische Detailangaben

Titel
Graphs for the analysis of bipolar fuzzy information
verantwortlich
Akram, Muhammad (VerfasserIn); Sarwar, Musavarah (VerfasserIn); Dudek, Wiesław A. (VerfasserIn)
Schriftenreihe
Studies in fuzziness and soft computing ; volume 401
veröffentlicht
Singapore: Springer, [2021]
Erscheinungsjahr
2021
Teil von
Studies in fuzziness and soft computing ; volume 401
Erscheint auch als
Akram, Muhammad, Graphs for the Analysis of Bipolar Fuzzy Information, 1st ed. 2021., Singapore : Springer Singapore, 2021, 1 Online-Ressource(XXVIII, 452 p. 241 illus., 2 illus. in color.)
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Zusammenfassung
Chapter 1: Bipolar Fuzzy Sets and Bipolar Fuzzy Graphs -- Chapter 2: Distance Measures in Bipolar Fuzzy Graphs -- Chapter 3: Special Types of Bipolar Fuzzy Graphs -- Chapter 4: Bipolar Fuzzy Competition Graphs -- Chapter 5: Bipolar Fuzzy Planar Graphs -- Chapter 6: Domination in Bipolar Fuzzy Graphs -- Chapter 7: Bipolar Fuzzy Circuits -- Chapter 8: Energy in Bipolar Fuzzy Graphs -- Chapter 9: Bipolar Neutrosophic Competition Graphs -- Chapter 10: Bipolar Neutrosophic Graph Structures.
This monograph discusses decision making methods under bipolar fuzzy graphical models with the aim of overcoming the lack of mathematical approach towards bipolar information—positive and negative. It investigates the properties of bipolar fuzzy graphs, their distance functions, and concept of their isomorphism. It presents certain notions, including irregular bipolar fuzzy graphs, domination in bipolar fuzzy graphs, bipolar fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures. This book also presents the applications of mentioned concepts to real-world problems in areas of product manufacturing, international relations, psychology, global terrorism and more, making it valuable for researchers, computer scientists, social scientists and alike.
Umfang
xxviii, 452 Seiten; Illustrationen
Sprache
Englisch
Schlagworte
BK-Notation
31.78 Fuzzy-Mengen, Fuzzy-Theorie
54.72 Künstliche Intelligenz
ISBN
9789811587559
DOI
10.1007/978-981-15-8756-6