Abd Ulazeez Alkouri

Abd Ulazeez Alkouri


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 March 2023 in International Journal of Fuzzy Logic and Intelligent Systems
Verified
Journal Article
Open access
PDF file
HZHamzeh Zureigat
Hamzeh Zureigat
AAAbd Ulazeez Alkouri
Abd Ulazeez Alkouri
AKAreen Khateeb
Areen Khateeb
EAEman Abuteen
Eman Abuteen
ASAbu-Ghurra Sana
Abu-Ghurra Sana
Hamzeh Zureigat, Abd Ulazeez Alkouri, Areen Al-khateeb, Eman Abuteen, and Sana Abu-Ghurra. International Journal of Fuzzy Logic and Intelligent Systems 2023;23:11-9. https://doi.org/10.5391/IJFIS.2023.23.1.11

1 January 2024 in AIP Conference Proceedings
Verified
Conference Paper
Closed access
PDF file
IJIbrahim Jawarneh
Ibrahim Jawarneh
AAAbd Ulazeez Alkouri
Abd Ulazeez Alkouri
MHMohammad Hazaimeh
Mohammad Hazaimeh
ZAZuhier Altawallbeh
Zuhier Altawallbeh
The fuzzy topological space was introduced by Dip in 1999 depending on the notion of the fuzzy space (X, I). In this paper, further definitions, and theorems on The fuzzy topological space was introduced by Dip in 1999 depending on the notion of the fuzzy space (X, I). In this paper, further definitions, and theorems on

1 December 2024
Verified
Journal Article
Open access
PDF file
AAAbd Ulazeez Alkouri
Abd Ulazeez Alkouri
MAMo'Men Bany Amer
Mo'Men Bany Amer
IJIbrahim Jawarneh
Ibrahim Jawarneh
Convey human being's information to a mathematical formula and vice versa by a proper tool, is considered a first step to solve the problem of assigning a membership degree (suitable value) of an object to a set by decision-makers. Different information with its periodic circumstances highlighted the need for an extra variable to be built into the mathematical tools. This extra variable adds a significant role to represent a special type of information that has the same data but with a different meaning in different time/levels/phases. However, the idea of extending the range of membership degree to unit disk in the complex plane solved this problem. In this research, we choose bipolar multi-fuzzy information to be generalized to the complex realm using the Cartesian form "x+iy". Therefore, the formal definition of complex bipolar multi-fuzzy sets (CBMFS) is introduced with a range of membership lies in the unit square. The advantage of CBMFS is that the real and imaginary parts of CBMFSs can represent bipolar multi-fuzzy information. Also, some basic operations and numerical examples on CBMFS are presented and studied its properties. Moreover, the relations of CBMFS with each of bipolar fuzzy sets (BFS) and complex bipolar fuzzy sets (CBFS), respectively, are illustrated. Finally, two types of distances and ∂-equality under CBMFS are presented. Also, some illustrative examples and properties of complex bipolar multi-fuzzy distance and ∂-equality are obtained.