Journal of Intelligent & Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown
Published: April 15, 2025
The proliferation of interval type-2 fuzzy sets in domains characterized by substantial uncertainty, particularly natural language processing and intelligent decision-making systems, has highlighted the critical need for efficient accurate similarity assessment methodologies. However, evaluating between presents considerable challenges, primarily due to computational inefficiencies associated with traditional measurement techniques. This paper addresses these challenges proposing a approach aimed at enhancing efficiency assessments trapezoidal sets. core proposed lies leveraging geometric properties trapezoids determine closed polygon that results from intersection two non-normal type-1 method eliminates complex sequential condition evaluations intricate flowcharts traversal common existing methods. A key contribution this work is novel handling infeasible points, ensuring without sacrificing precision. implementation incorporates Shoelace algorithm area computation, further efficiency. Numerical analysis demonstrates provides streamlined computationally solution sets, optimizing both precision algorithmic performance.
Language: Английский