Soft ideal topological space and mixed fuzzy soft ideal topological space

Borah, Manash Jyoti; Hazarika, Bipan

doi:10.5269/bspm.v37i1.29647

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…G. C. Ray and S. Dey studied Separation axioms in mixed multiset topological space [10]. M. J. Borah and B. Hazarika studied Soft ideal topological space and Mixed fuzzy soft ideal Topological space [13] . B. C. Tripathy and S. Debnath also studied γ− open sets and γ− continuous mappings in fuzzy bitopological spaces [5] and On fuzzy b-locally open sets in bitopological spaces [6] which involves two fuzzy topologies.…”

Section: Introductionmentioning

confidence: 99%

Mixed Fuzzy topological space its Hausdorff properties and base

Chetri

Ray

2023

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In this article, mixed fuzzy topology and its topological properties have been studied. Mixed fuzzy topology is defined with the help of quasi-coincidence and closure of a fuzzy set in one of the fuzzy topologies. Thus, a new fuzzy topology is generated from the given two fuzzy topologies. This new fuzzy topology may or may not contain the topological properties of the parent topologies. This study identifies some topological properties that are carried to the mixed fuzzy topology from the given parent fuzzy topologies and some other properties which are not carried to the mixed fuzzy topology. Here a base for mixed fuzzy topology from the bases of the given parent topologies is constructed. Considering the regularity of one of the parent topologies mixed fuzzy topology is investigated. Hausdorff’s properties of mixed fuzzy topological spaces are also discussed. It is now of general interest to know which properties are carried to the mixed topology and which are not. A few of these are being tried to answer here in this paper.

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Section: Introductionmentioning

confidence: 99%

Mixed Fuzzy topological space its Hausdorff properties and base

Chetri

Ray

2023

Proyecciones (Antofagasta)

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“…Das et al [12] investigated the problem of measuring the correlation between the hesitant fuzzy soft sets. For similarity measurements of soft sets and related implementations, readers can also see [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence

Borah¹,

Hazarika²,

Panda³

et al. 2020

Results in Physics

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Section: Introductionmentioning

confidence: 99%

Examining the correlation between the weather conditions and COVID‐19 pandemic in India: A mathematical evidence

Borah¹,

Hazarika

Panda

et al. 2020

Preprint

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There is a drastic increase for utilizing mathematical modeling in the study of epidemiology diseases. Mathematical models may predict how infectious diseases advance to demonstrate the possible result of an outbreak, and help support initiatives in public health. In the present situation, the 2019-nCoV terrifies the world. In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables.

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Soft ideal topological space and mixed fuzzy soft ideal topological space

Cited by 4 publications

References 19 publications

Mixed Fuzzy topological space its Hausdorff properties and base

Mixed Fuzzy topological space its Hausdorff properties and base

Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence

Examining the correlation between the weather conditions and COVID‐19 pandemic in India: A mathematical evidence

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