Nour Ammar

58853241100

Publications - 3

Fuzzy Linguistic Signatures and Their Applications

Nour Ammar László T. Kóczy

Publication Name: Ines 2024 28th IEEE International Conference on Intelligent Engineering Systems 2024 Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 27-30

Description:

In the real world, many situations involve dealing with vague and imprecise information, and managing this uncertainty is a big challenge. Numerical-based modeling alone is often insufficient in such cases. As a result, many researchers have implemented fuzzy signatures as a means to overcome this problem. However, there are instances where parameters remain ambiguous, and determining the fuzzy membership degree and membership function as inputs and outputs of such a system is not possible. Therefore, integrating fuzzy signatures with linguistic descriptors provides a more realistic approach to handling uncertain knowledge about the problem. This paper aims to discuss the new fuzzy linguistic signature model, which offers a unique solution by enabling the incorporation of qualitative and quantitative information and explores its potential applications. A software entirely based on linguistic inputs and outputs has been implemented to demonstrate the concept.

Open Access: Yes

DOI: 10.1109/INES63318.2024.10629115

Decision-Making Based on Fuzzy Linguistic Signatures

Nour Ammar László T. Kóczy

Publication Name: Ciees 2023 IEEE International Conference on Communications Information Electronic and Energy Systems

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Decision-making is a key process for human beings, and it is becoming more complicated in the case of uncertainty. Thus, it may be a more realistic approach to use linguistic values instead of numerical values. In the literature, there have been numerous applications for fuzzy signatures for modelling decision-making problems with uncertainty. However, there are application cases where the parameters are not measurable, and there is no way to assign precise membership values and functions to the variables. The main goal of this paper is to propose a way to make a decision about traffic related questions, using a new model for fuzzy linguistic signatures with linguistic aggregation operations in this case. Telemetric data collected by the Hungarian e-toll declaration provider are utilized for the purpose of the example. The results demonstrate the efficiency and time-saving advantages of employing fuzzy linguistic signatures over to numerical methods for decision-making.

Open Access: Yes

DOI: 10.1109/CIEES58940.2023.10378751

Fuzzy Linguistic Signatures

Nour Ammar László T. Kóczy

Publication Name: Infocommunications Journal

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: 43-52

Description:

Fuzzy Linguistic Signatures (FLS) extend the concept of Fuzzy Signatures (FSigs) by introducing linguistic variables as qualitative descriptors within a hierarchical fuzzy structure. Although fuzzy signatures have been successfully applied in various domains, their reliance on numerical membership degrees limits their ability to model subjective or linguistically defined information. This paper establishes a formal mathematical framework for FLS by defining a family of fuzzy linguistic signatures equipped with suitable linguistic aggregation operators and a partial ordering relation among linguistic values. Furthermore, meet-and-join operators are introduced to demonstrate that FLS satisfies the properties of a lattice as an algebraic structure. Consequently, fuzzy linguistic signatures provide an expressive representational framework capable of handling qualitative, human-like reasoning.

Open Access: Yes

DOI: 10.36244/ICJ.2026.1.5