Ranking fuzzy numbers by volume of solid of revolution of membership function about axis of support

Autor: P. N. V. L. Sasikala, P. Phani Bushan Rao
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Decision Science Letters, Vol 12, Iss 4, Pp 697-710 (2023)
Druh dokumentu: article
ISSN: 1929-5804
1929-5812
DOI: 10.5267/j.dsl.2023.7.006
Popis: It is admissible that fuzzy numbers (FNs) are apt for representing imprecise or vague data in real-world problems. While using FNs in decision-making problems, selecting the best alternative among available alternatives is challenging, and therefore, ranking FNs is essential. We can find different studies in the literature, but to our knowledge, no one attempted to rank FNs using the concept of volume. This paper proposes a new method for ranking generalized fuzzy numbers (GFNs) using the volume of the solid obtained by revolving its membership function (MF) about the x-axis. We calculate the volumes of positive and negative sides along with the centroid of a generalized fuzzy number(GFN) to define the fuzzy number(FN) score. This score represents the defuzzified value of FN, is used to select the best alternative, and overcomes the limitations in some existing methods like ranking FNs having the same centroid, crisp numbers, symmetric fuzzy numbers, and FNs with the same core.
Databáze: Directory of Open Access Journals