@Article{cmes.2022.019684,
AUTHOR = {Faisal Al-Sharqi, Abd Ghafur Ahmad, Ashraf Al-Quran},
TITLE = {Interval-Valued Neutrosophic Soft Expert Set from Real Space to Complex Space},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {132},
YEAR = {2022},
NUMBER = {1},
PAGES = {267--293},
URL = {http://www.techscience.com/CMES/v132n1/48091},
ISSN = {1526-1506},
ABSTRACT = {A fuzzy system is a novel computing technique that accesses uncertain information by fuzzy representation. In
the decision-making process, fuzzy system and soft computing are effective tools that are tolerant to imprecision,
uncertainty, and partial truths. Evolutionary fuzzy systems have been developed with the appearance of interval
fuzzy, dual fuzzy, hesitant fuzzy, neutrosophic, plithogenic representations, etc. Moreover, by capturing compound
features and convey multi-dimensional data, complex numbers are utilized to generalize fuzzy and neutrosophic
fuzzy sets. In this paper, a representation of neutrosophic soft expert systems based on the real and complex
numbers in the interval form is proposed. The interval-valued neutrosophic soft expert set (I-VNSES) is defined,
and the interval-valued complex neutrosophic soft expert set (I-VCNSES) is formally generalized from the concept
of I-VNSES. For both I-VNSES and I-VCNSES, we introduce the relevant basic theoretical operations and study
their properties. Based on these new concepts, a generalized algorithm is proposed and applied to handle the
imbedded indeterminacy in the two-dimensional interval data. The proposed algorithm is tested on the economic
factors that affected the Malaysian economy in 2020 to see which ones are the most influential. Eventually, a
comparison of three current approaches is used to back up this study.},
DOI = {10.32604/cmes.2022.019684}
}