The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis

We devote to study the arithmetic operator of fuzzy regular prismoid numbers as well as the degree of similarity between fuzzy regular prismoid numbers, and then the arithmetic operator and the degree of similarity are applied in risk analysis. Firstly, the arithmetic operator of fuzzy regular prism...

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Main Author: Shexiang Hai
Format: Article
Language:English
Published: Springer 2021-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125956178/view
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author Shexiang Hai
author_facet Shexiang Hai
author_sort Shexiang Hai
collection DOAJ
description We devote to study the arithmetic operator of fuzzy regular prismoid numbers as well as the degree of similarity between fuzzy regular prismoid numbers, and then the arithmetic operator and the degree of similarity are applied in risk analysis. Firstly, the arithmetic operator of fuzzy regular prismoid numbers are researched, and some properties of the arithmetic operators are discussed. At the same time, the fuzzy regular prismoid numbers approximation of 2-dimensional fuzzy numbers is discussed as an indispensable part to study the fuzzy risk analysis. Then, the degree of similarity between fuzzy regular prismoid numbers are deeply researched, which are the basic work of studying the fuzzy risk analysis. Finally, the proposed results are applied in risk analysis of a company.
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spelling doaj.art-bfb63e7aa91f4247a79d044049b8f55e2022-12-22T01:57:25ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832021-05-0114110.2991/ijcis.d.210422.001The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk AnalysisShexiang HaiWe devote to study the arithmetic operator of fuzzy regular prismoid numbers as well as the degree of similarity between fuzzy regular prismoid numbers, and then the arithmetic operator and the degree of similarity are applied in risk analysis. Firstly, the arithmetic operator of fuzzy regular prismoid numbers are researched, and some properties of the arithmetic operators are discussed. At the same time, the fuzzy regular prismoid numbers approximation of 2-dimensional fuzzy numbers is discussed as an indispensable part to study the fuzzy risk analysis. Then, the degree of similarity between fuzzy regular prismoid numbers are deeply researched, which are the basic work of studying the fuzzy risk analysis. Finally, the proposed results are applied in risk analysis of a company.https://www.atlantis-press.com/article/125956178/viewRegular prismoid numbersThe arithmetic operatorFuzzy regular prismoid numbers approximationThe degree of similarityFuzzy risk analysis
spellingShingle Shexiang Hai
The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
International Journal of Computational Intelligence Systems
Regular prismoid numbers
The arithmetic operator
Fuzzy regular prismoid numbers approximation
The degree of similarity
Fuzzy risk analysis
title The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
title_full The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
title_fullStr The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
title_full_unstemmed The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
title_short The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis
title_sort arithmetic operator of fuzzy regular prismoid numbers and its application to fuzzy risk analysis
topic Regular prismoid numbers
The arithmetic operator
Fuzzy regular prismoid numbers approximation
The degree of similarity
Fuzzy risk analysis
url https://www.atlantis-press.com/article/125956178/view
work_keys_str_mv AT shexianghai thearithmeticoperatoroffuzzyregularprismoidnumbersanditsapplicationtofuzzyriskanalysis
AT shexianghai arithmeticoperatoroffuzzyregularprismoidnumbersanditsapplicationtofuzzyriskanalysis