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Fuzzy Logic and Set Theory in Artificial Intelligence Decision-Making

Year: 2025

Type: article

Abstract: Artificial Intelligence (AI) systems require the ability to make decisions under uncertainty and imprecision, which are common in real-world scenarios. Traditional methods struggle to handle such vagueness. Fuzzy Set Theory and Fuzzy Logic, introduced by Lotfi Zadeh, provide a framework for dealing with these issues. This paper explores how fuzzy systems enhance decision-making in AI, offering theoretical insights, practical applications, mathematical formulations, and the integration of fuzzy systems with other AI models. It also discusses the challenges and future directions in this research area.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.70546

Author: Naja Sherin

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410259376

FWCI: 0.854

Cites:

Cited by: 2

Related to: 10