๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers

โœ Scribed by Shi-Jay Chen; Shyi-Ming Chen

Book ID
106347601
Publisher
Springer US
Year
2006
Tongue
English
Weight
465 KB
Volume
26
Category
Article
ISSN
0924-669X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Fuzzy risk analysis based on measures of
Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers
โœ Shi-Jay Chen; Shyi-Ming Chen ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 456 KB

In this paper, we present a new method for handling fuzzy risk analysis problems based on measures of similarity between interval-valued fuzzy numbers. First, we propose a similarity measure to calculate the degree of similarity between interval-valued fuzzy numbers. The proposed similarity measure

Addition of fuzzy numbers based on gener
Addition of fuzzy numbers based on generalized t-norms
โœ Xiu-Gang Shang; Wei-Sun Jiang ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 267 KB

The addition rules of fuzzy numbers based on the generalized t-norms are given, which generalized the "min"-normbased addition rule of fuzzy numbers. The results are also extended to fuzzy intervals, Its possible applications are pointed.

Area ranking of fuzzy numbers based on p
Area ranking of fuzzy numbers based on positive and negative ideal points
โœ Ying-Ming Wang; Ying Luo ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 864 KB

## a b s t r a c t The maximizing set and minimizing set method is a popular ranking approach for fuzzy numbers, which ranks them based on their left, right and total utilities. This paper presents an alternative ranking approach for fuzzy numbers called area ranking based on positive and negative