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Graphs for the analysis of bipolar f...

Akram, Muhammad.

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Graphs for the analysis of bipolar fuzzy information

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Graphs for the analysis of bipolar fuzzy information/ by Muhammad Akram, Musavarah Sarwar, Wieslaw A. Dudek.
作者:	Akram, Muhammad.
其他作者:	Sarwar, Musavarah.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xxviii, 452 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Fuzzy graphs. -
電子資源:	https://doi.org/10.1007/978-981-15-8756-6
ISBN:	9789811587566

Graphs for the analysis of bipolar fuzzy information
Akram, Muhammad.

Graphs for the analysis of bipolar fuzzy information[electronic resource] /by Muhammad Akram, Musavarah Sarwar, Wieslaw A. Dudek. - Singapore :Springer Singapore :2021. - xxviii, 452 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.4011434-9922 ;. - Studies in fuzziness and soft computing ;v.401..

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.

ISBN: 9789811587566

Standard No.: 10.1007/978-981-15-8756-6doiSubjects--Topical Terms:

724493
Fuzzy graphs.

LC Class. No.: QA166.175 / .A57 2021

Dewey Class. No.: 511.5

Graphs for the analysis of bipolar fuzzy information
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505 0 $a 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.
520 $a 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.
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