An Application of Product of Intuitionistic Fuzzy Incidence Graphs in Textile Industry
Autor: | Tabasam Rashid, Irfan Nazeer, Abazar Keikha |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Textile industry
Multidisciplinary General Computer Science Degree (graph theory) Article Subject business.industry 020209 energy Intuitionistic fuzzy QA75.5-76.95 02 engineering and technology Cartesian product Composition (combinatorics) Algebra symbols.namesake Tensor product Electronic computers. Computer science Product (mathematics) 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing business Incidence (geometry) Mathematics |
Zdroj: | Complexity, Vol 2021 (2021) |
ISSN: | 1076-2787 |
DOI: | 10.1155/2021/5541125 |
Popis: | In this research article, we presented the idea of intuitionistic fuzzy incidence graphs (IFIGs) along with their certain properties. The number of operations including Cartesian product (CP), composition, tensor product, and normal product in an IFIGs are also investigated. The method to compute the degree of IFIGs obtained by CP, composition, tensor product, and the normal product is discussed. Some important theorems to calculate the degree of the vertices of IFIGs acquired by CP, composition, tensor product, and normal product are elaborated. An application of CP and composition of two IFIGs in the textile industry to find the best combinations of departments expressing the highest percentage of progress and the lowest percentage of nonprogress is provided. A comparative analysis of our study with the existing study is discussed. Our study will be beneficial to comprehend and understand the further characteristics of IFIGs in detail. Another advantage of our study is that it will be helpful to find the maximum percentage of progress and minimum percentage of nonprogress in different departments of universities, garment factories, and hospitals. |
Databáze: | OpenAIRE |
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