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Article | Open Access

An alternative approach to solve fuzzy system of equations using normalized type 2 triangular fuzzy numbers

Department of Mathematics, School of Advanced Sciences, VIT-AP University, Inavolu, Beside AP Secretariat, Amaravati, AP, India.
Department of Mathematics, School of Engineering, Dayananda Sagar University, Bengaluru, Karnataka, India.
Department of Mathematics, School of Computer Science and Artificial Intelligence (M), SR University, Warangal, Telangana, India.
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Abstract

In this paper, a new parametric approach is developed to solve a fuzzy system of equations with type 2 fuzzy uncertainties. NT2TFN are introduced as uncertain values in the fuzzy system of equations. Different properties of NT2TFN are discussed and a simplified transformed representation is developed for easy computation. The proposed transformation reduces the NT2TFN into crisp form. Further, the extension principle is discussed in presence of NT2TFN. For illustration purposes, the transformed representation of NT2TFN is used to solve four example problems. The obtained solutions of example problems are depicted numerically and shown graphically. Using the proposed method, the obtained solution is compared with the solution of other existing methods. Finally, it is observed that the proposed method possesses a good agreement with other existing approaches.

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Fuzzy Information and Engineering
Pages 187-209

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Cite this article:
Nayak S, Panigrahi PK, Priyadarshini S. An alternative approach to solve fuzzy system of equations using normalized type 2 triangular fuzzy numbers. Fuzzy Information and Engineering, 2026, 18(2): 187-209. https://doi.org/10.26599/FIE.2026.9270007

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Received: 01 December 2024
Revised: 30 May 2025
Accepted: 16 July 2025
Published: 08 July 2026
© The Author(s) 2026.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).