Fuzzy parameterized-interval complex neutrosophic soft sets and their applications under uncertainty

被引:11
|
作者
Al-Sharqi, Faisal [1 ,2 ]
Ahmad, Abd Ghafur [1 ]
Al-Quran, Ashraf [3 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Math Sci, Ukm Bangi 43600, Selangor De, Malaysia
[2] Univ Anbar, Dept Math, Fac Educ Pure Sci, Ramadi, Anbar, Iraq
[3] King Faisal Univ, Preparatory Year Deanship, Al Hufuf, Al Ahsa, Saudi Arabia
关键词
Complex neutrosophic set; fuzzy parameterized-interval neutrosophic soft set; interval neutrosophic set; interval-complex neutrosophic soft set; soft set; MEDICAL DIAGNOSIS; DECISION;
D O I
10.3233/JIFS-221579
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1453 / 1477
页数:25
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