Vol.26, No.1, 2026, pp. 77–84
https://doi.org/10.69644/ivk-2026-01-0077

A NOVEL SPHERICAL FUZZY LOGIC APPROACH FOR STRUCTURAL INTEGRITY AND HEALTH MONITORING WITH ENTROPY ANALYSIS

Thakur Palvinder1 , Gandotra Neeraj1 , Thakur Pankaj2* 

1) Department of Mathematics, Shoolini University, Himachal Pradesh, INDIA

P. Thakur https://orcid.org/0009-0005-7633-5856 ; N. Gandotra https://orcid.org/0000-0001-6534-3264

2) Department of Mathematics, ICFAI University, Himachal Pradesh, INDIA

P. Thakur https://orcid.org/0000-0001-8119-2697 , *email: Pankaj_thakur15@yahoo.co.in

 

Abstract

This research introduces a novel framework for structural health monitoring technique selection by integrating spherical fuzzy sets with multi-criteria decision-making methods. The approach enhances traditional Multi-Criteria Decision-Making methods by addressing uncertainty and vagueness in expert judgments. A case study validates its effectiveness, showing more reliable outcomes compared to conventional methods. The framework offers a robust tool for optimising structural health monitoring techniques, improving infrastructure safety and sustainability.

Keywords: • structural health monitoring • spherical fuzzy sets • entropy measure • uncertainty management • infrastructure safety 

full article (444 kB)