Back to Search
Start Over
Optimization in business strategy as a part of sustainable economic growth using clique covering of fuzzy graphs.
- Source :
-
Soft Computing - A Fusion of Foundations, Methodologies & Applications . May2021, Vol. 25 Issue 10, p7095-7118. 24p. - Publication Year :
- 2021
-
Abstract
- In this paper, new concepts to use clique covering of a fuzzy graph are introduced for optimization of parameters involved in business strategy. For this purpose, four algorithms are designed for finding necessary parameters and sets of a fuzzy graph which is helpful for constructing a cordon of linear programming problems. The linear programming problems are constructed with suitable optimization functions and constraints. The strengths of the cliques present in fuzzy graph get a new look in this paper. Facility location problems are characterized and solved with a new strategy optimization problems by using concept of clique covering of fuzzy graphs for a smooth business strategy to have a maximized total gain. This optimization process will help for developing a part of sustainable economic growth all over the world. Some new definitions are given with relevant examples of fuzzy graphs. An illustration is given to elaborate all mathematical terminologies. Also, a real-life application to optimize different parameters in a business network by solving the programming problems with the help of the mathematical software "LINGO" keeping the fuzziness of the parameters involved in the considered fuzzy graph. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14327643
- Volume :
- 25
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Soft Computing - A Fusion of Foundations, Methodologies & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 149906156
- Full Text :
- https://doi.org/10.1007/s00500-021-05670-z