Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Hybrid Soft Computing Models Applied to Graph Theory

Hybrid Soft Computing Models Applied to Graph Theory

Zafar, Fariha
Akram, Muhammad

Hardcover

Series: Studies in Fuzziness and Soft Computing, Book 380

Business GeneralDatabasesGeneral Computers

ISBN10: 303016019X
ISBN13: 9783030160197
Publisher: Springer Nature
Published: Apr 16 2019
Pages: 434
Weight: 1.81
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English

This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors' research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers' creativity thus offering a source of inspiration for future research.

Also in

General Computers

View All