A method for describing the rank of a fuzzy number and the k-th largest fuzzy number with fuzzy sets
Jee-Hyong Lee, Hyung Lee-Kwang, Keon Myung Lee
Abstract
Jee-Hyong Lee, Hyung Lee-Kwang, Keon Myung Lee
Abstract
Since fuzzy numbers represent vague numeric values, they may overlap with each other. So, the comparison between fuzzy numbers may be vague. For this reason, in a set of fuzzy numbers, the rank of a fuzzy number and the k-th largest fuzzy number are vague. In this paper, to determine the rank of a fuzzy number and the k-th largest fuzzy number in a set of fuzzy numbers, a fuzzy set based method is proposed. The proposed method uses a given greater-than relation defined on the set of fuzzy numbers. The rank of a fuzzy number is described with a fuzzy set of the ranks that the fuzzy number can take, and the k-th largest fuzzy number with a fuzzy set of fuzzy numbers which can be k-th ranked.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Since fuzzy numbers represent vague numeric values, they may overlap with each other. So, the comparison between fuzzy numbers may be vague. For this reason, in a set of fuzzy numbers, the rank of a fuzzy number and the k-th largest fuzzy number are vague. In this paper, to determine the rank of a fuzzy number and the k-th largest fuzzy number in a set of fuzzy numbers, a fuzzy set based method is proposed. The proposed method uses a given greater-than relation defined on the set of fuzzy numbers. The rank of a fuzzy number is described with a fuzzy set of the ranks that the fuzzy number can take, and the k-th largest fuzzy number with a fuzzy set of fuzzy numbers which can be k-th ranked.
Key concepts: Fuzzy number, Fuzzy set operations, Fuzzy classification, Mathematics, Defuzzification, Type-2 fuzzy sets and systems, Fuzzy mathematics, Fuzzy logic