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Granular Computing
Erschienen in: Granular Computing 1/2022

11.02.2021 | Original Paper

Fuzzy risk analysis using a new technique of ranking of generalized trapezoidal fuzzy numbers

verfasst von: Kartik Patra

Erschienen in: Granular Computing | Ausgabe 1/2022

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Abstract

Ranking of generalized trapezoidal fuzzy number is very important to order the fuzzy numbers. In this propose paper a new approach has been introduced for ranking of generalized trapezoidal fuzzy numbers. In this new technique the mean position, area and perimeter of the fuzzy numbers has been considered as major factors. Some properties corresponding to the new proposed method have been discussed. There are some existing techniques of ranking generalized trapezoidal fuzzy numbers. But some lacunas exist in their proposed methods. It has been compared with existing different techniques of generalized trapezoidal fuzzy numbers and has been overcome the drawbacks of those existing methods by our new method. Finally, a risk analysis of a selection of production house has been shown to show the effectiveness of the proposed method.
Vorheriger Artikel A new picture fuzzy divergence measure based on Jensen–Tsallis information measure and its application to multicriteria decision making
Nächster Artikel Multi-attribute group decision making based on sine trigonometric spherical fuzzy aggregation operators

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Metadaten
Titel
Fuzzy risk analysis using a new technique of ranking of generalized trapezoidal fuzzy numbers
verfasst von
Kartik Patra
Publikationsdatum
11.02.2021
Verlag
Springer International Publishing
Erschienen in
Granular Computing / Ausgabe 1/2022
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-021-00255-5

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