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Fuzzy parameterized-interval complex neutrosophic soft sets and their applications under uncertainty.
- Source :
-
Journal of Intelligent & Fuzzy Systems . 2023, Vol. 44 Issue 1, p1453-1477. 25p. - Publication Year :
- 2023
-
Abstract
- Interval complex neutrosophic soft set (ICNSS) is the generalization of complex neutrosophic soft set (CNSS) as it provides an interval-based membership structure to handle the complex neutrosophic soft data. However, in the definition of the ICNSS, parameters set is a classical set, and the parameters have the same degree of importance which is considered as 1. This poses a limitation in modeling of some problems. Therefore, we introduce the concept of fuzzy parameterized interval complex neutrosophic soft set (FP-ICNSS) based on idea that each of elements of parameters set has got an importance degree. The basic theoretical operations and properties are defined and verified on FP-ICNSS. For FP-ICNSS, we conceptualize the relevant mapping and study the properties of the FP-ICNSS images and inverse images. Then, we propose a new algorithm that is applicable in the field of medical diagnosis and decision-making problems for selection right product. Moreover, an illustrative example is presented which depicts its validity for successful application to the problems involving vagueness and uncertainties. Eventually, a comparison between the proposed model and the existing methods is conducted to clarify the importance of this model. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SOFT sets
*DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 10641246
- Volume :
- 44
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 161352163
- Full Text :
- https://doi.org/10.3233/JIFS-221579