On Neutrosophic αψ-Closed Sets

Parimala, M.; Smarandache, Florentín; Jafari, Saeid; Udhayakumar, R.

doi:10.3390/info9050103

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…Florentin Smarandache 3 defined the neutrosophicset on three components (t,f,i) = (truth, falsehood, indeterminacy).This opened up a wide range of investigation in terms of neutosophic topology and its application in decision-making algorithms. Dhavaseelan.R and Jafari 4 introduced generalized Neutrosophic closed sets in 2018.Mani Parimala et al 5 introduced neutrosophic αψ-closed sets in 2018. Pushpalatha A et al 6 introduced generalized closed sets via Neutrosophic topological spaces in 2019.Renu Thomas et al 7 introduced and studied semi pre-open(or β-open) sets in neutrosophic topological spaces.…”

Section: Introductionmentioning

confidence: 99%

A Study on Nψβ and Nβψ - Closed sets in Neutrosophic Topological spaces

SUBASREE¹,

K²

2023

Baghdad Sci.J

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Section: Introductionmentioning

confidence: 99%

A Study on Nψβ and Nβψ - Closed sets in Neutrosophic Topological spaces

SUBASREE¹,

K²

2023

Baghdad Sci.J

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“…Garg [20] presented some aggregation operators for PFSs and investigated application of decision making approach based on proposed picture fuzzy aggregation operator. Peng and Dai [21] proposed an algorithm for PFS and applied in decision making based on new distance measure. In this era, several mathematicians have been focusing on correlation coefficients, similarity measures, aggregation operators, topological spaces, and applications for decision-making.…”

Section: Introductionmentioning

confidence: 99%

Multiple Attribute Decision Making Algorithm via Picture Fuzzy Nano Topological Spaces

et al. 2021

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Picture fuzzy nano topological spaces is an extension of intuitionistic fuzzy nano topological spaces. Every decision in life ends with an answer such as yes or no, or true or false, but we have an another component called abstain, which we have not yet considered. This work is a gateway to study such a problem. This paper motivates an enquiry of the third component—abstain—in practical problems. The aim of this paper is to investigate the contemporary notion of picture fuzzy nano topological spaces and explore some of its properties. The stated properties are quantified with numerical data. Furthermore, an algorithm for Multiple Attribute Decision-Making (MADM) with an application regarding the file selection of building material under uncertainty by using picture fuzzy nano topological spaces is developed. As a practical problem, a comparison table is presented to show the difference between the novel concept and the existing methods.

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“…After Molodtsov, many researchers have shown interest in soft sets and their applications. Maji [4,5] introduced neutrosophic soft sets with operators, which are free from difficulties since neutrosophic sets [6][7][8][9] can handle indeterminate information. However, the neutrosophic sets and operators are hard to apply in real life applications.…”

Section: Introductionmentioning

confidence: 99%