Domination of Fuzzy Incidence Graphs with the Algorithm and Application for the Selection of a Medical Lab

Nazeer, Irfan; Rashid, Tabasam; Guirao, Juan Luis García

doi:10.1155/2021/6682502

Cited by 11 publications

(5 citation statements)

References 26 publications

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“…Nazeer et al studied the change trend of China's industrial productivity since the founding of new China and decomposed TFP. The results show that TFP growth has a significant contribution to economic growth during the study period, reflecting that rapid industrialization has attracted employment and improved efficiency [ 8 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm

Yuan¹,

Gao

2022

Computational Intelligence and Neuroscience

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Learning about the regional business model is essential for the sustainable development of the regional economy. From the perspective of urban renewable energy, city A is the product of energy development. This paper analyzes the current situation and existing problems of the industrial model of city A through fuzzy k-means clustering algorithm. The results show that although the optimization of industrial structure in city A has achieved some results, the more intuitive problems mainly include low labor productivity of the primary industry, strong resource dependence, insufficient extension of industrial chain, and slow development of technology intensive industries. This paper uses fuzzy k-means clustering algorithm to select the leading industries from the perspective of the current situation of leading industries, urban development pattern, and regional policies in city A. The results show that, as a renewable resource-based city, the leading industries suitable for the current development of city A include manufacturing, power, alkali gas and water production and supply, transportation, warehousing and postal industry, leasing, and business services. The results of fuzzy k-means clustering algorithm are quite excellent, and the accuracy rate is 93.3%. This paper uses the grey dynamic linear programming model to predict the future development of the Urban A business model and combines the selection of key functions to obtain the best business model: deep and efficient technical equipment as a good goal, achieved through regional logistics, transportation, new services, etc., to enhance the output value of the tertiary industry in city A and optimize the internal structure of the secondary industry in city A.

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Section: Literature Reviewmentioning

confidence: 99%

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm

Yuan¹,

Gao

2022

Computational Intelligence and Neuroscience

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“…They discussed four types of products in IFIGs. An interesting idea of domination with the algorithm and application for the selection of a medical lab in FIGs was initiated by Nazeer et al [23]. After this, Nazeer et al [24] extended the idea of domination in the join of FIGs using strong pairs with application in the trading system of different countries.…”

Section: Introductionmentioning

confidence: 99%

Strong Product of Pythagorean Fuzzy Incidence Graphs With Application

NAZEER¹,

Hussain²,

RASHID³

2023

Preprint

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Graph operations give rise to the latest classification of graphs from the first ones, which may be beneficial for the modeling and identification of computer network designs. This research article proposed the definition of Pythagorean fuzzy incidence graph (PyFIG) by initiating prolific consequences and concepts associated with an operation on PyFIGs named the strong product. Together with completeness, regularity, and partial regularity of strong product PyFIGs, various ideas are obtained. The definition of full regular PyFIG along with some significant results is also acquired. In the end, an application of a strong product of two PyFIGs to choose the best Corona vaccination center among different centers is provided.

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“…Somasundaram and Somasundaram [20] gave more concepts of independent domination and connected domination in the fuzzy graph. Nazeer et al [21] discussed the domination of fuzzy incidence graphs with the algorithm and application for the selection of medical lab. Enriquez et al [22] discussed the domination in fuzzy directed graphs.…”

Section: Introductionmentioning

confidence: 99%

Double Domination and Regular Domination in Intuitionistic Fuzzy Hypergraph

Sri¹,

Thamaraikannan²,

Loganathan

et al. 2022

Journal of Mathematics

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This study investigates the domination, double domination, and regular domination in intuitionistic fuzzy hypergraph (IFHG), which has enormous application in computer science, networking, chemical, and biological engineering. Few properties of double domination and regular domination of IFHG are established. Furthermore, the definitions of complement and independent set of IFHG are given. The relation between the domination of an IFHG and the independent set of its complement was discussed. Moreover, the application of the double domination in the IFHG was illustrated by determining the containment zones for epidemic situations like COVID-19.

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Domination of Fuzzy Incidence Graphs with the Algorithm and Application for the Selection of a Medical Lab

Cited by 11 publications

References 26 publications

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm

Strong Product of Pythagorean Fuzzy Incidence Graphs With Application

Double Domination and Regular Domination in Intuitionistic Fuzzy Hypergraph

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